Deck 15: Appendices a and B Descriptive and Inferential Statistics
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Deck 15: Appendices a and B Descriptive and Inferential Statistics
1
As the sample size increases:
A) the standard error of the mean increases
B) the power of a test decreases
C) the probability of a type II error decreases
D) the probability of a type I error increases
A) the standard error of the mean increases
B) the power of a test decreases
C) the probability of a type II error decreases
D) the probability of a type I error increases
the probability of a type II error decreases
2
Which of the following is the most useful descriptive measure of dispersion?
A) range
B) variance
C) mean deviation
D) standard deviation
E) absolute deviation
A) range
B) variance
C) mean deviation
D) standard deviation
E) absolute deviation
standard deviation
3
The ____ divides a distribution in half.
A) range
B) mean
C) mode
D) median
E) dispersion
A) range
B) mean
C) mode
D) median
E) dispersion
median
4
Failing to reject the null hypothesis when it is actually false is a:
A) type I error
B) type II error
C) standard error
D) silly
E) correct decision
A) type I error
B) type II error
C) standard error
D) silly
E) correct decision
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5
Statistically significant effects can vary in their strength,which is measured by:
A) the alpha level
B) probability,such as p
C) the t-test
D) the magnitude of effect
E) the probability of a type-I error
A) the alpha level
B) probability,such as p
C) the t-test
D) the magnitude of effect
E) the probability of a type-I error
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6
The F statistic is:
A) a nonparametric test
B) a ratio of population variances
C) [between-groups variance]/[within-groups variance]
D) [within-groups variance]/[between-groups variance]
A) a nonparametric test
B) a ratio of population variances
C) [between-groups variance]/[within-groups variance]
D) [within-groups variance]/[between-groups variance]
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7
A conservative statistical test is one that:
A) minimizes both type I and type II errors
B) minimizes type I errors but increases type II errors
C) minimizes type II errors but increases type I errors
D) decreases the chance of type II errors
E) always results in both errors increasing
A) minimizes both type I and type II errors
B) minimizes type I errors but increases type II errors
C) minimizes type II errors but increases type I errors
D) decreases the chance of type II errors
E) always results in both errors increasing
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8
If experimental treatments produce an effect:
A) between-groups variance will increase
B) between-groups variance will decrease
C) within-groups variance will increase
D) within-groups variance will stay the same
A) between-groups variance will increase
B) between-groups variance will decrease
C) within-groups variance will increase
D) within-groups variance will stay the same
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9
The mode is:
A) the arithmetic average
B) the middle score
C) the most frequent score
D) the least frequent score
E) the standard score
A) the arithmetic average
B) the middle score
C) the most frequent score
D) the least frequent score
E) the standard score
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10
A sample is to a population as a ____ is to a(n)____.
A) description; inference
B) statistic; inference
C) fact; datum
D) mean; standard deviation
E) statistic; parameter
A) description; inference
B) statistic; inference
C) fact; datum
D) mean; standard deviation
E) statistic; parameter
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11
In a normal distribution,a score that is one standard deviation above the mean:
A) has a different X value as the point of inflection
B) has a z-score of 0
C) occurs about as often as the score one standard deviation below the mean
D) is higher than about 98 percent of the scores in the distribution
A) has a different X value as the point of inflection
B) has a z-score of 0
C) occurs about as often as the score one standard deviation below the mean
D) is higher than about 98 percent of the scores in the distribution
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12
An advantage of the median over the mean is that the median is:
A) easier to calculate
B) more sensitive to each of the sample scores
C) a measure of dispersion
D) less influenced by extreme scores
E) often found between the limits of a score
A) easier to calculate
B) more sensitive to each of the sample scores
C) a measure of dispersion
D) less influenced by extreme scores
E) often found between the limits of a score
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13
As the size of a sample increases,the ____ of the distribution of sample means becomes ____.
A) mean; larger
B) mean; smaller
C) standard deviation; larger
D) standard deviation; smaller
A) mean; larger
B) mean; smaller
C) standard deviation; larger
D) standard deviation; smaller
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14
The Mann-Whitney U test is:
A) an example of a parametric statistic
B) a test that assumes that the underlying distributions are normally distributed
C) designed for two groups of scores
D) intended for within-subjects designs
A) an example of a parametric statistic
B) a test that assumes that the underlying distributions are normally distributed
C) designed for two groups of scores
D) intended for within-subjects designs
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15
If the mean IQ is 100 and the standard deviation of the IQ scores is 11,then an IQ of 122 will have a z-score of:
A) 1.0
B) 0.0
C) 2.0
D) 2.5
E) -2.0
A) 1.0
B) 0.0
C) 2.0
D) 2.5
E) -2.0
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16
Rejecting the null hypothesis when it is actually false is:
A) a type I error
B) a type II error
C) more likely with two-tailed tests
D) an error of chance
E) a correct decision
A) a type I error
B) a type II error
C) more likely with two-tailed tests
D) an error of chance
E) a correct decision
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17
The median is:
A) the arithmetic average
B) the middle score
C) the range
D) the most common score
A) the arithmetic average
B) the middle score
C) the range
D) the most common score
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18
The ____ is the sum of all scores divided by the number of scores.
A) median
B) mean
C) mode
D) deviation
E) average
A) median
B) mean
C) mode
D) deviation
E) average
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19
The variance of a group of scores is just like the absolute mean deviation except that for the variance:
A) the absolute value of the differences is used instead of the squared value
B) the squared value of the differences is used instead of the absolute value
C) differences are based on the median not on the mean
D) differences are based on the mean instead of on the median
A) the absolute value of the differences is used instead of the squared value
B) the squared value of the differences is used instead of the absolute value
C) differences are based on the median not on the mean
D) differences are based on the mean instead of on the median
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20
The standard deviation is:
A) the square of the variance
B) larger than the mean
C) the variance
D) a measure of dispersion
A) the square of the variance
B) larger than the mean
C) the variance
D) a measure of dispersion
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21
A sample is a subset of the population.
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22
The median is preferred to the mean when there are a few extreme scores.
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23
A type 2 error occurs when we falsely reject the null hypothesis when it is actually false.
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24
If the mean score is 200 and the standard deviation is 50,then a score of 50 is one standard deviation below the mean.
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25
In a multifactor analysis of variance,how the variables affect one another is called:
A) main effects
B) interaction effects
C) experimental effects
D) variance effects
E) a type II error
A) main effects
B) interaction effects
C) experimental effects
D) variance effects
E) a type II error
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26
Statistical power increases with sample size.
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27
The power of a statistical test determines how likely it is that the null hypothesis will be rejected.
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28
A one-tailed p value is always bigger than a two-tailed p.
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29
In a histogram,frequency of scores is on the abscissa.
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30
If an obtained score has a z-value of two or greater,then this score is greater than about 95% of all scores.
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31
Statistical tests that increase type 1 errors tend to decrease type 2 errors.
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32
In a normal distribution,the mean,median,and mode have the same value.
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33
A type 1 error is rejection of the null hypothesis when it is actually false.
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34
About 68% of all scores lie between -2 and +2 standard deviations in a normal distribution.
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35
The Greek letter sigma ( )stands for the sample standard deviation.
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36
The standard error of the mean decreases as sample size increases.
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37
The null hypothesis can be rejected if the alpha value is less than or equal to .05.
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38
Parametric statistical tests assume that the level of measurement is at least an interval scale.
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39
A z-score of +1 is one standard deviation above the mean.
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40
The standard deviation is the sum of the squared deviations from the mean,divided by the number of scores.
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41
The basic F-ratio formula is between-groups variance divided by within-groups variance.
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42
Determining p or significance is all that is necessary to decide whether the results of an experiment are meaningful.
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43
The magnitude of effect tells us how wrong the null hypothesis is when it has been rejected.
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44
The Mann-Whitney test is a parametric test used to compare two independent samples of scores.
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45
In a 2 2 factorial ANOVA,there are four F ratios that are of importance.
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46
If an experiment has two independent variables,each with three levels (so,it is a 3 3),there are two main effects and one interaction that can be assessed in an ANOVA.
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47
In a factorial ANOVA with repeated measures,error variance for the F ratios is estimated by the interaction of subjects within treatments.
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48
The within-subjects t-test is used for the same kind of experimental design that the Wilcoxon test is used.
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49
The Wilcoxon test is a non-parametric test for comparing to independent samples.
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50
One should calculate a measure of magnitude of effect even when the null hypothesis cannot be rejected.
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