Question

Question 11 options: that scores above the mean are distributed the same as scores below the mean that extreme scores are possible in a normal distribution that there are an infinite number of possible normal distributions that this characteristic has no practical implication

Question 12 (1 point) In a normal distribution with 3±1 (M±SD), a researcher can appropriately conclude that about 84.13% of scores were greater than 2. Question 12 options: True False

Question 13 (1 point) The mean, median, and mode are all located at the 50th percentile in a perfect normal distribution. Question 13 options: True False Question

14 (1 point) The ________ are the range of continuous values containing the score of interest in a binomial distribution. Question 14 options: observed limits approximate limits real limits speed limits

Question 15 (1 point) What is the z-score for scores in the top and bottom 2.5%? Question 15 options: 1.96 1.96 .0124 There is not enough information to answer this question. Question 16 (1 point) A researcher randomly selects a sample of participants from a population with a variance of 4. If a researcher selects a sample of 16 participants with a mean of 12, then what is the mean and standard error for the sampling distribution of the mean?

Question 16 options: mean = 12, standard error = 2 mean = 12, standard error = 1 mean = 12, standard error = 0.5 There is not enough information to answer this question.

Question 17 (1 point) The average sample variance equals the population variance when dividing SS by df. Question 17 options: True False

Question 18 (1 point) The following samples were selected by two researchers. Which is associated with a smaller standard error of the mean? Researcher A: n = 25, μ = 5, σ = 7 Researcher B: n = 25, μ = 32, σ = 7

Question 18 options: Researcher A Researcher B They both have the same standard error.

Question 19 (1 point) As sample size increases, the standard error of the mean Question 19 options: increases decreases can increase or decrease does not change

Question 20 (1 point) Saved The sampling distribution of the mean is a distribution of all the possible samples of a particular size that can be selected from a given population. Question 20 options: True False

Answer 1

Ans 12.) True

P(X>2) = P(Z>-1) = P(Z<1) = 0.84134

Ans 13.) True

Ans 14.)

Ans 15.) 1.96

Ans 16.) Mean = 12 and Standard error = = 0.5

Ans 17.) False

Ans 18.) They both have same standard error of mean because they both have same sample size and same standard deviation and S.E of mean =

Ans 19.) Decreases

Ans 20.) False

Sampling distribution of the mean is a distribution of means of all possible random samples of a particular size that can be selected from a given population.