Question

0. Consider a distribution of raw scores in which the distribution is normal. Consider that each and every score is converted into a standard score (a z score), such that the resulting distribution is a normal distribution of standard scores (a standard normal distribution, also known as the SND). The standard normal distribution has all the following characteristics, except

a. The distribution is bell-shaped.
b. The distribution is symmetrical.
c. The mean, median, and mode of the distribution are equal to the same score.

d. The scores in the distribution are expressed as raw scores.

1. In the standard normal distribution, the proportion of scores under the curve above the mean is .50. Likewise, in the distribution, the proportion of scores under the curve below the mean is .50.
a. true

b. false

2. Two standard deviations below the mean in the standard normal distribution has a z value of a. z = 2.00
b. z = -2.00
c. z = .00

d. z = -.00

3. Consider a sampling distribution of means: An infinite number of sample means based on a fixed sample N. Is the distribution a theoretical distribution or an empirical distribution?
a. theoretical; the distribution of means only exists in theory
b. empirical; the distribution of means only exists based on observation

4. In the context of a sampling distribution of means, equivalence refers to the assumption that the mean of the sampling distribution of means (μx̅ ) shows equivalence with the sample mean( x̅ x ) .
a. true
b.false;equivalencereferstotheassumptionthatμx̅ shows equivalence with the population mean (μx).

5. What is the term that indicates the amount of error that results when a single sample mean (x̅ x) is used to estimate (infer) a population mean (μx)?

a. standard deviation (σx)

b. standard error (σx̅ )

6. Assuming equivalence, the smaller the estimate of the standard error (sx̅ ) associated with a sample mean (x̅ x), the smaller the average deviation of the sample mean from the population mean (μx).

a. true
b. false

7.Considerhowtheestimateofthestandarderror(sx̅)iscomputed:Thesx̅ iscomputedfrom the standard deviation of the sample (sx) divided by the square root of the sample size (N). The implication is that a larger N will reduce the sx̅ .

a. true
b. false

8. Consider the hypothesis: Self-esteem training leads to higher academic success, such that μtreatment > μnontreatment. This hypothesis is an example of a
a. positive treatment effect hypothesis
b. negative treatment effect hypothesis

9. The hypothesis that μtreatment = μnontreatment is an example of a (an)

a. initial hypothesis (H1)
b. null hypothesis (Hø)

Answer 1