Question 1
Question
What are the alternative titles for a correlated T test
Answer
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paired T test
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dependent sample t test
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none of the above
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all of the above
Question 2
Question
If the average height of males in the class is 5'10". We conclude that the average height of all males in the population of IRSC is also 5'10". This is an example of INTERVAL ESTIMATION.
Question 3
Question
A series of procedures in which sample data are used to make statements about the populations.
Answer
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Statistical Inference
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Descriptive Statistics
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Inferential Statistics
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Random Sample
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None of the above
Question 4
Question
The Symbol for a Type 2 error is
Question 5
Question
We commit a Type II error when
Answer
-
we reject the alternative when we should have accepted it
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we accept the null when we should have accepted it
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we fail to reject the null when we should have accepted it.
Question 6
Question
We calculate a t crtical value of ±1.96 and a t of -2.17. Based on this information we would accept the null.
Question 7
Question
The Central Limit Theorem states that if an infinite amount of randomly selected sampled of a fixed n are drawn from a population:
Answer
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as the n increases, the distribution mean approaches normality
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the mean of means equals µ
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the dispersion of the means around µ is equal to the standard error of the mean
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None of the above
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All of the above
Question 8
Question
Statistical Power is a function of what four things?
Question 9
Question
Two independent T tests have what four assumptions?
Answer
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Homoscedasticity, Within Group Variability, Alpha, and Normality
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Randomness, Normality, Homoscedasticity, and Independent Observations
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Confidence Interval, Independent Observations, Within Group Variability, and Normality
Question 10
Question
A one-tailed test is also referred to as
Answer
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one-tailed probablity
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one-tailed hypothesis
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non directional test
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directional test
Question 11
Question
A one-tailed test is considered more scientifically credible
Question 12
Question
The alternative hypotheses states that there is a significant difference between group means and/or the relationship that is real and significant.
Question 13
Question
The goal of hypothesis testing is the accept the null in favor of the alternative.
Question 14
Answer
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reject the null
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accept the null
Question 15
Question
The statistical power is a function of four things:
1. [blank_start]mean difference[blank_end]
2. [blank_start]sample size[blank_end]
3. [blank_start]within group variability[blank_end]
4. [blank_start]alpha[blank_end]
Answer
-
mean difference
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sample size
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within group variability
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alpha
Question 16
Question
sampling error is the distance of any sample mean from µ
Question 17
Question
If we reject the null hypothesis what happens to the p region of the standard distribution?
Answer
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the p region increases
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the p region decreases
Question 18
Answer
-
accept the null
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reject the null
Question 19
Question
A researcher is studying the effectiveness of a new daily treatment for asthma on overall lung capacity. The researcher randomly selected 15 asthma sufferers and measured their lung capacity. The researched then administered a 5 week course of treatment. After the 5 weeks she measured the participants' lung capacity again. What test did she use to measure the results.
Question 20
Question
Statistical power is represented by what symbol
Question 21
Question
We randomly assign two groups of coffee drinkers to avoid drinking coffee for one week. One group is given an apple each morning instead of coffee, the other group is given black tea. To measure the statistical difference between the times each group vocalized craving coffee we would use the two independent sample t test.
Question 22
Question
A researched is measuring the impact on the same dependent variable for two different groups. Which would be the best test to run?
Question 23
Question
Hypothesis testing is the most widely utilized set of inferential procedures in science.
Question 24
Question
Which category of Inferential Statistics are we employing when we are testing if a belief or claim about a population parameter is true?
Answer
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Point Estimation
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Interval Estimation
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All of the above
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Hypothesis Testing
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None of the above
Question 25
Question
What are the steps within the Repeated Measures Design?
Answer
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Experiment, Sample, Point Estimation
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Pretest, Experiment, Post test, Difference
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Hypothesis, Sample, Difference, Test
Question 26
Question
The mean of the xbars on a sampling distribution equals
Answer
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µ
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ß
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1-ß
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none of the above
Question 27
Question
When we take a sample statistic and automatically conclude that it is, indeed, the corresponding population parameter we are using:
Answer
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Interval Estimation
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Point Estimation
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Statistical Hypothesis
Question 28
Question
If an infinite amount of randomly selected samples of a fixed sample n are drawn from a population regardless of the shape of the distribution we are referring to:
Question 29
Question
What is the calculation for sampling distribution?
Answer
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the distance from any sample mean from µ
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the difference between Pearson r and rho
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the difference between sigma and s
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none of the above
Question 30
Question
Power decreases as as mean difference increases
Question 31
Question
As Sampling size decreases, power increases
Question 32
Question
A study is being conducted on the efficacy of a new medication. As the study measures the results on more people, what two things happen to the hypothesis ?
Answer
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The sample size increases
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The sample size decreases
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The statistical power increases
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The statistical power decreases
Question 33
Question
WGV is a function of statistical power and it refers to
Answer
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Within Group Variability
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Within Group Viability
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Willingness Group
Question 34
Question
Sampling Error is the distance from any sample mean to mu
Question 35
Question
Our alpha is = to .05, we can assume that p=
Question 36
Question
Before we run any statistical test p ≠ alpha
Question 37
Question
It is more difficult to reject the null using a two tailed test because the critical values are higher
Question 38
Question
A two-tailed test predicts that outcomes will fall in one end of the distribution.
Question 39
Question
What is the appropriate statistical test to use when we have two independent sample groups
Question 40
Question
The most unique difference between repeated measures and other experimental designs is that in repeated measures, subjects serve as their own control.
Question 41
Question
A researcher breaks 20 adults into two groups and is using a two independent sample t test to calculate the effect of candy on attention span. Half of the group is given chocolate and the other half is not. The independent variable is [blank_start]the candy[blank_end] and the dependent variable is [blank_start]attention span[blank_end]. Alpha is .05 and we set p to [blank_start].05[blank_end]. The Null Hypothesis is [blank_start]Hsub0: µ1 = µ2[blank_end], the alternate hypothesis is [blank_start]Hsub1: µsub1 ≠ µsub2[blank_end].
Answer
-
the candy
-
the attention span
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attention span
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the candy
-
.05
-
.01
-
.1
-
.025
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Hsub0: µsub1 = µsub2
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Hsub1: µsub1 ≠ µsub2
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Hsub0: Xbar = µ
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Hsub0: rho = 0
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Hsub1: µsub1 ≠ µsub2
-
Hsub0: µsub1 = µsub2
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Hsub1: µsub1 = µsub2
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Hsub1: rho ≠ 0
Question 42
Question
When µ is known and sigma is known what calculation do you use?
Answer
-
correlated t test
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z test
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two independent sample t
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interval estimation
Question 43
Question
Sigma is known and s is given, so we will use the:
Answer
-
one sample t test
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z test
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correlated t test
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standard deviation
Question 44
Question
When testing a hypothesis where Pearson r is given, the null hypothesis is [blank_start]Hsub0: rho = 0[blank_end] and the alternate hypothesis is [blank_start]Hsub1: rho ≠ 0[blank_end]
Answer
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Hsub0: rho = 0
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Hsub0: rho ≠ 0
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Hsub0: rho ≠ Pearson r
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Hsub1: rho ≠ 0
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Hsub1: rho ≠ Pearson r
Question 45
Question
In a correlated t test the null hypothesis would be what?
Answer
-
Hsub0: µpre = µpost
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Hsub0: µsub d bar = 0
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Hsub1: µpre = µpost
Question 46
Question
Heights are measured from a random sample of 50 females is taken from the IRSC student body. Based on the rules of Generalization, why can we generalize these to a greater population?
Answer
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Because we had a large enough sample size
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Because the sample was randomized
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Because IRSC is a diverse school and represents various subsets of the female population
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We cannot generalize these results
Question 47
Question
To calculate the degrees of freedom for a t test calculate n - 1
Question 48
Question
A group of volunteers take part in a study to test the effects of sunlight on skin tone. The results can be generalized to the population.
Question 49
Question
Vets tested the effectiveness of wet food on cavities and gum disease in cats.
Answer
-
This is a correlated t test
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This is a two tailed independent t test
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This is a sampling distribution
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All of the above
-
None of the above
Question 50
Question
In two tailed hypothesis test the two critical values divide the area under the sampling distribution into
Answer
-
into two rejection and one nonrejection regions
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into two rejection and two nonrejection regions
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into one rejection and two nonrejection regions
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into one rejection and one nonrejection regions
Question 51
Question
We have accepted a Null. What is the chance that we achieved a Type 2 error (ß)
Question 52
Question
In hypothesis testing for a two-tailed test, the p-value is given by:
Answer
-
the area under the curve between the mean and the observed value of the test statistic
-
twice the area under the curve between the mean and the observed value of the test statistic
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the area in the tail beyond the observed value of the test statistic
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twice the area in the tail beyond the observed value of the test statistic