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Steven scores 55% on a Mathematics exam, and 74% on an Economics exam. Which is Steven's better subject in comparison with the others in his group if the group means and SDs are 50 and 4 (Mathematics) and 70 and 8 (Economics)?
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TR-8R scores 67% on a accuracy exam, and 38% on an stamina exam. Which is TR-8R's better attribiute in comparison with the others in his group if the group means and SDs are 55 and 8 (Accuracy) and 24 and 4 (Stamina)?
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A population of scores has μ = 42. In this population, an X value of 40 corresponds to z = -0.50. What is the population standard deviation?
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A squadron of scores has μ = 63. In this clone squadron, an X value of 54 corresponds to z = -3. What is the clone squadron's standard deviation?
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For a population with μ = 60 and σ = 8, what is the X value corresponding to z = -0.50?
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For a population with μ = 78 and σ = 5, what is the X value corresponding to z = 0.8?
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A population of scores has μ = 44. In this population, an X value of 40 corresponds to z = -0.50. What is the population standard deviation?
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A population of N = 5 scores has SS = 40. What is the variance for this population?
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40/5=8
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40/4=10
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5(40)=200
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4(40)=160
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Under what circumstances would a score that is 15 points above the mean be considered an extreme score?
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when the population mean is much larger than 15
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when the population standard deviation is much larger than 15
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when the population mean is much smaller than 15
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when the population standard deviation is much smaller than 15
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For a population with μ = 100 and σ = 20, the X value corresponding to z = 1.50 is
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A population of scores has σ = 20. In this population, a score of X = 80 corresponds to z = +0.25. What is the population mean?
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In N = 25 games last season, the college basketball team averaged μ = 74 points with a standard deviation of σ = 6. In their final game of the season, the team scored 90 points. Based on this information, the number of points scored in the final game was ____.
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A little above average
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Far above average
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above average, but it is impossible to describe how much above average
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There is not enough information to compare last year with the average.
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What is the value of SS for the following sample?
Scores: 1, 3, 5
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SS=8
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SS=8/2
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SS=8/3
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SS=8*8
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The Pearson correlation measures _____.
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the degree of curvilinear relationship
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the degree of relationship without regard to the form of the relationship
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the degree of linear relationship
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the degree to which the relationship is consistently one directional
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A scatter plot shows a set of data points that are widely scattered around a line that slopes down to the right. Which of the following values would be closest to the correlation for these data?
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A scatter plot shows a set of data points that are closely scattered around a line that slopes down to the left. Which of the following values would be closest to the correlation for these data?
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A Pearson correlation of r = +1.00 between X and Y indicates _____.
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Every change in X causes a change in Y
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Each time X increases, there is a perfectly predictable increase in Y
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All of the other 3 choices occur with a correlation of +1.00.
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Every increase in X causes an increase in Y
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A Pearson correlation of r = -1.00 between X and Y indicates _____.
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Every change in X causes a change in Y
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Each time X decreases, there is a perfectly predictable decrease in Y
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All of the other 3 choices occur with a correlation of -1.00.
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Every increase in X causes an increase in Y
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Which of the following sets of correlations correctly shows the highest to lowest degree of relationship?
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-0.91, +0.83, +0.10, -0.03
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+0.83, +0.10, -0.91, -0.03
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-0.91, +0.83, -0.03, -0.10
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+0.83, +0.10, -0.03, -0.91
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The Pearson correlation is calculated for a sample of n = 25 individuals. What value of df should be used to determine whether or not the correlation is significant?
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The results of a correlation analysis are as follows: r(72) = .56, p = .046. Calculate the coefficient of determination (R2):
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The results of a correlation analysis are as follows: r(123) = .75, p = .034. Calculate the coefficient of determination (R2):
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When we convert a score into a score from a probability distribution, it becomes a _______.
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Test score
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Probability
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Test Statistic
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Significance Value
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The p value is a conditional probability, and represents ________.
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The probability of finding the effect if the null hypothesis was false
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The probability of not finding the effect if the null hypothesis was true
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The probability of finding the effect if the null hypothesis was true
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A researcher conducts an experiment and discovers a non-significant (p > .05) difference between her two experimental groups. What is the next step she should take?
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Fail to accept the alternate hypothesis
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Reject the null hypothesis
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Accept the alternate hypothesis
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Fail to reject the null hypothesis
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The first step in hypothesis testing is to:
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Which of the following is a two-tailed hypothesis?
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We predict that the scores of Group A should be significantly higher than the scores of Group B
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We predict a positive relationship between the scores of Group A and Group B
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We predict that the scores of Group B should be significantly higher than the scores of Group A
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We predict a significant difference between the scores of Group A and Group B
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Which of the following is an example of a null hypothesis?
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The scores of Group A will correlate with the scores of Group B
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The scores of Group A will be greater than the scores of Group B
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The scores of Group A and Group B will not differ significantly
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The scores of Group A and Group B will differ significantly
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Which of the following is the most appropriate description of a Type I error?
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Fail to reject the null hypothesis when it is false
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Fail to reject the null hypothesis when it is true
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Reject the null hypothesis when it is true
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Reject the null hypothesis when it is false
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Which of the following is the most appropriate description of a Type II error?
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Fail to reject the null hypothesis when it is true
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Reject the null hypothesis when it is false
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Fail to reject the null hypothesis when it is false
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Reject the null hypothesis when it is true
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A researcher conducts an experiment and discovers a significant (p < .05) difference between her two experimental groups. What is the next step she should take?
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Reject the null hypothesis
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Fail to reject the null hypothesis
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Accept the alternate hypothesis
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Fail to accept the alternate hypothesis
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A researcher decides to run a correlation to discover whether a positive relationship exists between variable X and variable Y. He should conduct a _____.
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2 tailed test
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1 tailed test
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Type II test
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Type I test
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An independent-measures t hypothesis test is appropriate when ____.
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the mean for a treated group of subjects is compared to a known population mean
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there are two separate samples containing different subjects
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the value for s is known
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one sample is used to test a hypothesis about one population
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Which of the following research situations is most likely to use an independent-measures design?
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Evaluate the difference in verbal skills between 3-year-old girls and 3-year-old boys.
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Evaluate the effectiveness of a diet program by measuring how much weight is lost during 4 weeks of dieting.
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Evaluate the effectiveness of a cholesterol medication by comparing cholesterol levels before and after the medication.
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Evaluate the development of verbal skills between age 2 and age 3 for a sample of girls.
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A researcher reports t(24) = 5.30 for an independent-measures experiment. How many individuals participated in the entire experiment?
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An independent-measures experiment uses one sample with n = 10 and a second sample with n = 15 to compare two experimental treatments. The t statistic from this experiment will have degrees of freedom equal to ____.
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The results of an independent-measures research study are reported as "t(5) = -2.12, p = .67, two tails." What statistical decision was made?
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There was a marginally significant effect.
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The researcher failed to reject H0.
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The null hypothesis was rejected.
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Cannot be determined from the researcher's statement
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Which of the following is a parametric test?
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Wilcoxon
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Mann-Whitney
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Spearman's RHO
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Pearson's r
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Which is NOT an assumption underlying Parametric tests?
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What is the Pearson r in this correlation?
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What is the P value in this Pearson correlation?
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P=.000
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P<.001
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P>.001
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P=-.291
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What is the sample size used?
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What is the P value and can we reject the null hypothesis?
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.993, no
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.993, yes
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.987, no
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.000, yes
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There is a _______ % chance of the results being obtained by sampling error alone
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What does reliability mean?
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Used to measure the degree to which something measures what it is supposed to and whether the cause and effect can be understood
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Used to measure the degree of which measurements are consistent or repeatable and whether the experiment yields similar reults
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Should yield similar results irrespective of who administers it
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Face, content, concurrent etc
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What does validity mean?
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To what degree are measurements consistent and repeatable
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To what degree the experiment measures what it is supposed to
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To what degree findings are similar irrespective of who administers them
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Includes internal consistency measures e.g. split half, odd-even etc
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Which is NOT a method of assessing reliability?
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Cronbach's Alpha
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Test-retest
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Inter-rater
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Known groups
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What is the correct order for hypothesis testing?
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Generate a hypothesis, Conduct a study, Work out probability, Decide to reject or accept the null hypothesis
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Conduct a study, Generate a hypothesis, Work out probability, Decide to reject or accept the null hypothesis
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Work out probability, Generate a hypothesis, Decide to reject or accept the null hypothesis, Conduct a study
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Decide to reject or accept the null hypothesis, Conduct a study, Work out probability, Generate a hypothesis
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What is the critical region in relation to a normal distribution?
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What is the SS of the following numbers? 5,7,1,4
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Chocolate will positively correlate with happiness. What type of directional hypothesis is this?
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One-tailed
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Two-Tailed
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Type I
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Type II
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In a set of data with extreme scores what would be the best measure of central tendency?
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Repeated measures, normally distributed, Violation of homogeneity of variance. What statistical test should be used?
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Wilcoxon
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Mann-Whitney
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Pearson's r
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Chi-Square
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Independent groups, Normally distributed, Violation of homogeneity of variance. What statistical test should be used?
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WIlcoxon
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Chi-square
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Mann-Whitney
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Spearman's RHO
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The standard error is...
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What is t when the sample mean is 36 and the population mean in 57 and a standard error of 5.6?
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In relation to Cohen's d what are the effect sizes?
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0.2=small, 0.5=moderate, 0.8=large
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0.2=large, 0.5=moderate, 0.8=small
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0.3=small, 0.6=moderate, 0.9=large
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0.3=large, 0.6=moderate, 0.9=small
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If two variables are totally independent, then the correlation between them is:
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In an independent t-test, you would use the equal variances are not assumed part of the output when Levene's test is
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Above a criterion significance level (e.g. p>0.05)
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Below a criterion significance level (e.g. p<0.05)
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When number of participants are unequal in the two conditions
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When you have skewed data
Frage 60
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A test of heterogeneity that relies on the assumption of abnormality
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A test of homogeneity that relies on the assumption of abnormality
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A test of heterogeneity that does not rely on the assumption of normality
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A test of homogeneity of variances that does not rely on the assumption of normality
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We can't use a single t-test to compare:
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1 group to a population (one;sample t;test)
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2 groups to each other (independent;samples t;test)
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Scores on 2 measures to each other (paired;samples t;test)
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More than two groups
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How many t-test comparisons would you need to conduct as follow ups, if there are 8 levels in the factor?
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What is the main problem with using multiple t-tests?
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Increased chances of a type one error (reject the null hypothesis when it is true) as each comparison increases p-value
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Increased chances of a type two error (failing to reject the null hypothesis when it is false) as each comparison decreases p-value
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There isn't one
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The narrower the confidence intervals:
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The more confidence you can place in your results
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The less you can rely on the results
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The greater the chance that your results were due to sampling error
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Repeated measures designs are:
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Are exactly the same power as independent design
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Less powerful than independent designs
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More powerful than independent designs
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None of the above
Frage 66
Antworten
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Point estimates of sample means
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Interval estimates of population means
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Interval estimates of sample means
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Point estimates of population means
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For an experiment comparing two treatment conditions, an independent-measures design would obtain ____ score(s) for each subject and a repeated-measures design would obtain ____ score(s) for each subject.
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A repeated-measures study finds a mean difference of MD = 5 points between two treatment conditions. Which of the following sample characteristics is most likely to produce a significant t statistic for the hypothesis test?
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A small sample size (n) and a large variance
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A small sample size (n) and a small variance
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A large sample size (n) and a small variance
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A large sample size (n) and a large variance
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For which of the following situations would a repeated-measures research design be appropriate?
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Comparing problem solving skills for science majors versus art majors at a college
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Comparing self-esteem for students who participate in school athletics versus those who do not
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Comparing pain tolerance before and after taking a new pain medication
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Comparing verbal skills for girls versus boys at age 3
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A research report describing the results from a repeated-measures study includes the following: "The data show no significant difference between the two treatments, t(10) = 1.65, p = .07." Based on this report, you can conclude that a total of ____ individuals participated in the research study .
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For the repeated-measures t statistic, df = ____.
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(n1 - 1) + (n2 - 1)
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n1 + n2 - 2
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n - 1
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n1 + n2 - 1
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A repeated-measures experiment and a matched-subjects experiment both produce t statistics with df = 20. Which experiment used more subjects?
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Which of the following sets of data is most likely to produce a significant t statistic? NB: MD = Mean Difference, SS = Sum of Squared Deviations
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MD = 2 and SS = 10
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MD = 2 and SS = 100
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MD = 10 and SS = 10
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MD = 10 and SS = 100
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If the null hypothesis is true, on average the expected value for the related-samples t statistic is ____.
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A research report describing the results from a repeated-measures study states, "The data showed a significant difference between treatments, t(22) = 4.71, p < .001." From this report you can conclude that the outcome of the hypothesis test was ____.
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The purpose for post tests is
Antworten
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To determine whether or not a Type I error was committed.
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To determine how much difference exists between the treatments.
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To determine which treatments are significantly different.
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None of the above.
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In general, the largest F-ratio will be obtained when the differences between sample means are ____ and the magnitudes of the sample variances are ____.
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Small, small
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Small, large
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Large, small
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Large, large
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In analysis of variance, the F-ratio is a ratio of?
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In analysis of variance, the term factor refers to ____.
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When the null hypothesis is true for an ANOVA, what is the expected value for the F-ratio?
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For an experiment comparing more than two treatment conditions you should use analysis of variance rather than separate t tests because ____.
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You are less likely to make a mistake in the computations of ANOVA
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A test based on variances is more sensitive than a test based on means
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ANOVA has less risk of a Type I Error because several means are compared in one test
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ANOVA has less risk of a Type II Error because several means are compared in one test
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Under what circumstances is the experimentwise alpha level a concern?
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Whenever you do an analysis of variance
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Whenever an experiment compares exactly two treatments
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Whenever an experiment involves more than one hypothesis test
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Whenever the alpha level is greater than .05
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How many levels did the independent variable have?
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Which of the following statistical statements best describes the result of the analysis:
Antworten
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F(2,197) = 3.45, p = .034
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F(2,197) = 3.45, p = 0.034
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F(2,195) = 3.45, p = 0.034
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F(2,195) = 3.45, p = .034
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How many participants were included in this analysis?
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A study finds a correlation coefficient of 0.5, what amount of variance is left unexplained?
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A study finds an effect size of 64%, what is the value of Pearson's r?
Frage 88
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What is the basis or logic of inferential statistical tests?
Antworten
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To work out the probability of obtaining an effect due to sampling error when the null hypothesis is true
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To work out the probability of obtaining an effect due to sampling error when the null hypothesis is false
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To work out the probability of making a type II error
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All of the answers
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Power of an experiment is:
Antworten
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α
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The ability of the experiment to reject the null hypothesis if it is, in fact, false
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The sensitivity of participants to your experimental manipulation
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All of the answers
Frage 90
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How do we denote power?
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Quasi-experimental designs have?
Frage 92
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The higher the t-value, the more likely it is that the differences between groups are:
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The effect size for independent groups, d, can be calculated by:
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Power is the ability to detect:
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A statistically significant effect where one exists
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A psychologically important effect where one exists
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Both Statistically and Psychologically important
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Design flaws
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A researcher has found a correlation coefficient of r=+.3, CI(95%) = -.2 - (+.7). Which is the most sensible conclusion? We are 95% confident that the population regression line would be:
Antworten
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Positive (+.3)
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Zero
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Negative (-.2)
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Between -.2 and +.7
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When the between-groups variance is a lot larger than the within-groups variance, the F-value is _____ and the likelihood of such a result occurring by sampling error ____.
Antworten
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Large;Increases
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Large;Decreases
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Small;Increases
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Small;Decreases