Question
26.) Significant variability in the population results in sample means that - a. are less likely to reflect the population mean b. will result in
26.) Significant variability in the population results in sample means that -
a. are less likely to reflect the population mean
b. will result in less sampling error
c. allow for the use of small samples
d. none of the above
27.) When comparing scores from different distributions one must -
a. be careful to see that they use the same population
b. convert all the scores to z-score
c. provide a baseline for comparison to the experimental group
d. check with someone who knows about statistics
28.) All z-scores are -
a. comparable to each other
b. represent proportions of the normal curve
c. have been transformed from raw scores
d. all of the above
29.) Relationships between samples and populations are defined in terms of -
a. Probability
b. Descriptive statistics
c. Sampling error
d. Its complicated
30.) The population is defined by the-
a. research question
b. sampling distribution
c. standard error
d. dependent variable
31.) The mean of the distribution of sampling means is -
a. same as the population mean
b. always at least slightly different from the population mean
c. distributed throughout the population of samples
d. meaningfully sampled in a popular distribution
32.) The mean of the distribution of sampling means is -
a. the average score
b. a biased statistic
c. an unbiased statistic
d. none of the above
33.) When using random sampling -
a. extreme scores fall closer to the mean
b. each member of the population has the same chance of being chosen
c. extreme scores are excluded from the sample
d. each of the above answers has the same chance of being chosen
34.) Central limit theorem states -
a. Distributions approach normal as n approaches infinity
b. Distributions become symmetrical when the mean equals zero
c. Central dispersion is a necessary aspect of distribution measurement
d. All of the above
35.) If all samples were obtained from a population the majority of sample means would be -
a. close to the population mean
b. reflected by z scores greater than 1
c. difficult to obtain due to extreme values
d. of no real consequence
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