6865841
Descripción
Test por Emily Dailey, actualizado hace más de 1 año
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Creado por Emily Dailey
hace alrededor de 8 años
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Pregunta 1
Pregunta
What are the alternative titles for a correlated T test
Respuesta
-
paired T test
-
dependent sample t test
-
none of the above
-
all of the above
Pregunta 2
Pregunta
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.
Respuesta
- True
- False
Pregunta 3
Pregunta
A series of procedures in which sample data are used to make statements about the populations.
Respuesta
-
Statistical Inference
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Descriptive Statistics
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Inferential Statistics
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Random Sample
-
None of the above
Pregunta 4
Pregunta
The Symbol for a Type 2 error is
Respuesta
-
ß
-
1-ß
-
Pearson r
-
µ
Pregunta 5
Pregunta
We commit a Type II error when
Respuesta
-
we reject the alternative when we should have accepted it
-
we accept the null when we should have accepted it
-
we fail to reject the null when we should have accepted it.
Pregunta 6
Pregunta
We calculate a t crtical value of ±1.96 and a t of -2.17. Based on this information we would accept the null.
Respuesta
- True
- False
Pregunta 7
Pregunta
The Central Limit Theorem states that if an infinite amount of randomly selected sampled of a fixed n are drawn from a population:
Respuesta
-
as the n increases, the distribution mean approaches normality
-
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
-
None of the above
-
All of the above
Pregunta 8
Pregunta
Statistical Power is a function of what four things?
Respuesta
-
Sample size (n)
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Randomness
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Mean difference
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Independent observations
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Alpha
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Normality
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Within Group Variability (WGV)
Pregunta 9
Pregunta
Two independent T tests have what four assumptions?
Respuesta
-
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
Pregunta 10
Pregunta
A one-tailed test is also referred to as
Respuesta
-
one-tailed probablity
-
one-tailed hypothesis
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non directional test
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directional test
Pregunta 11
Pregunta
A one-tailed test is considered more scientifically credible
Respuesta
- True
- False
Pregunta 12
Pregunta
The alternative hypotheses states that there is a significant difference between group means and/or the relationship that is real and significant.
Respuesta
- True
- False
Pregunta 13
Pregunta
The goal of hypothesis testing is the accept the null in favor of the alternative.
Respuesta
- True
- False
Pregunta 14
Pregunta
If p< alpha we:
Respuesta
-
reject the null
-
accept the null
Pregunta 15
Pregunta
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]
Respuesta
-
mean difference
-
sample size
-
within group variability
-
alpha
Pregunta 16
Pregunta
sampling error is the distance of any sample mean from µ
Respuesta
- True
- False
Pregunta 17
Pregunta
If we reject the null hypothesis what happens to the p region of the standard distribution?
Respuesta
-
the p region increases
-
the p region decreases
Pregunta 18
Pregunta
If p< alpha we:
Respuesta
-
accept the null
-
reject the null
Pregunta 19
Pregunta
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.
Respuesta
-
two independent sample t test
-
correlated t test
-
sampling distribution
-
sampling error
Pregunta 20
Pregunta
Statistical power is represented by what symbol
Respuesta
-
1-ß
-
alpha
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∑
-
µ
Pregunta 21
Pregunta
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.
Respuesta
- True
- False
Pregunta 22
Pregunta
A researched is measuring the impact on the same dependent variable for two different groups. Which would be the best test to run?
Respuesta
-
two independent sample t test
-
correlated t test
Pregunta 23
Pregunta
Hypothesis testing is the most widely utilized set of inferential procedures in science.
Respuesta
- True
- False
Pregunta 24
Pregunta
Which category of Inferential Statistics are we employing when we are testing if a belief or claim about a population parameter is true?
Respuesta
-
Point Estimation
-
Interval Estimation
-
All of the above
-
Hypothesis Testing
-
None of the above
Pregunta 25
Pregunta
What are the steps within the Repeated Measures Design?
Respuesta
-
Experiment, Sample, Point Estimation
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Pretest, Experiment, Post test, Difference
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Hypothesis, Sample, Difference, Test
Pregunta 26
Pregunta
The mean of the xbars on a sampling distribution equals
Respuesta
-
µ
-
ß
-
1-ß
-
none of the above
Pregunta 27
Pregunta
When we take a sample statistic and automatically conclude that it is, indeed, the corresponding population parameter we are using:
Respuesta
-
Interval Estimation
-
Point Estimation
-
Statistical Hypothesis
Pregunta 28
Pregunta
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:
Respuesta
-
The Central Limit Theorem
-
Interval Estimation
-
Sampling Distibution
Pregunta 29
Pregunta
What is the calculation for sampling distribution?
Respuesta
-
the distance from any sample mean from µ
-
the difference between Pearson r and rho
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the difference between sigma and s
-
none of the above
Pregunta 30
Pregunta
Power decreases as as mean difference increases
Respuesta
- True
- False
Pregunta 31
Pregunta
As Sampling size decreases, power increases
Respuesta
- True
- False
Pregunta 32
Pregunta
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 ?
Respuesta
-
The sample size increases
-
The sample size decreases
-
The statistical power increases
-
The statistical power decreases
Pregunta 33
Pregunta
WGV is a function of statistical power and it refers to
Respuesta
-
Within Group Variability
-
Within Group Viability
-
Willingness Group
Pregunta 34
Pregunta
Sampling Error is the distance from any sample mean to mu
Respuesta
- True
- False
Pregunta 35
Pregunta
Our alpha is = to .05, we can assume that p=
Respuesta
-
.01
-
.025
-
.05
-
5
Pregunta 36
Pregunta
Before we run any statistical test p ≠ alpha
Respuesta
- True
- False
Pregunta 37
Pregunta
It is more difficult to reject the null using a two tailed test because the critical values are higher
Respuesta
- True
- False
Pregunta 38
Pregunta
A two-tailed test predicts that outcomes will fall in one end of the distribution.
Respuesta
- True
- False
Pregunta 39
Pregunta
What is the appropriate statistical test to use when we have two independent sample groups
Respuesta
-
correlated t test
-
two independent sample t test
-
z test
-
point estimation
Pregunta 40
Pregunta
The most unique difference between repeated measures and other experimental designs is that in repeated measures, subjects serve as their own control.
Respuesta
- True
- False
Pregunta 41
Pregunta
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].
Respuesta
-
the candy
-
the attention span
-
attention span
-
the candy
-
.05
-
.01
-
.1
-
.025
-
Hsub0: µsub1 = µsub2
-
Hsub1: µsub1 ≠ µsub2
-
Hsub0: Xbar = µ
-
Hsub0: rho = 0
-
Hsub1: µsub1 ≠ µsub2
-
Hsub0: µsub1 = µsub2
-
Hsub1: µsub1 = µsub2
-
Hsub1: rho ≠ 0
Pregunta 42
Pregunta
When µ is known and sigma is known what calculation do you use?
Respuesta
-
correlated t test
-
z test
-
two independent sample t
-
interval estimation
Pregunta 43
Pregunta
Sigma is known and s is given, so we will use the:
Respuesta
-
one sample t test
-
z test
-
correlated t test
-
standard deviation
Pregunta 44
Pregunta
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]
Respuesta
-
Hsub0: rho = 0
-
Hsub0: rho ≠ 0
-
Hsub0: rho ≠ Pearson r
-
Hsub1: rho ≠ 0
-
Hsub1: rho ≠ Pearson r
Pregunta 45
Pregunta
In a correlated t test the null hypothesis would be what?
Respuesta
-
Hsub0: µpre = µpost
-
Hsub0: µsub d bar = 0
-
Hsub1: µpre = µpost
Pregunta 46
Pregunta
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?
Respuesta
-
Because we had a large enough sample size
-
Because the sample was randomized
-
Because IRSC is a diverse school and represents various subsets of the female population
-
We cannot generalize these results
Pregunta 47
Pregunta
To calculate the degrees of freedom for a t test calculate n - 1
Respuesta
- True
- False
Pregunta 48
Pregunta
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.
Respuesta
- True
- False
Pregunta 49
Pregunta
Vets tested the effectiveness of wet food on cavities and gum disease in cats.
Respuesta
-
This is a correlated t test
-
This is a two tailed independent t test
-
This is a sampling distribution
-
All of the above
-
None of the above
Pregunta 50
Pregunta
In two tailed hypothesis test the two critical values divide the area under the sampling distribution into
Respuesta
-
into two rejection and one nonrejection regions
-
into two rejection and two nonrejection regions
-
into one rejection and two nonrejection regions
-
into one rejection and one nonrejection regions
Pregunta 51
Pregunta
We have accepted a Null. What is the chance that we achieved a Type 2 error (ß)
Respuesta
-
5%
-
1%
-
We do not calculate a numerical value for a Type 2 error
-
None of the above
Pregunta 52
Pregunta
In hypothesis testing for a two-tailed test, the p-value is given by:
Respuesta
-
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
-
the area in the tail beyond the observed value of the test statistic
-
twice the area in the tail beyond the observed value of the test statistic
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