Capella PSYC4700 Week 4 Quiz Latest 2023

PSYC4700 - Stat for Behavioral Sciences

Week 4 Quiz 1

Question 1

The proportion or fraction of times an outcome is likely to occur is referred to as                                              

a. probability.

b. a random event.

c. sample space.

d. luck.

Question 2

A news poll showed that voters had no preference for either of three candidates. In this example, the probability of a vote for, say, Candidate A equals ______.                                    

a. 1/3

b. 1/2

c. 2/3

d. 1.00

Question 3

A gambler rolls a 3 with one roll of a single fair die. Given that the die was six-sided, what was the probability of rolling a 3 with one roll?                                   

a. 1/6

b. 3/6

c. 1/9

d. 3/9

Question 4

Probability allows us to make predictions regarding                                        

a. random events.

b. random outcomes.

c. random variables.

d. all of the above.

Question 5

The mean of a probability distribution is called the                                          

a. expected value of the mean.

b. mathematical expectation.

 c. expected value of the mean and mathematical expectation.

d. none of these.

Question 6

A distribution of probabilities for random outcomes of a bivariate or dichotomous random variable is called a                                     

a. binomial probability distribution.

b. distribution of expected values.

c. random variable distribution.

d. mathematical expectation.

Question 7

A researcher determines that the probability of missing class among students at a local school is p = .16. Assuming that the school has 300 students enrolled, how many students can we expect to miss class on a given day? Hint: This is a binomial probability distribution.                                

a. 48 students

b. 252 students

c. 16 students

d. There is not enough information to answer this question.

Question 8

The normal distribution has all of the following characteristics, except that                                          

a. it is symmetrical.

b. its distribution is theoretical.

c. the mean, median, and mode are equal.

d. the total area under the curve is greater than 1.0.

Question 9

What is the implication for the tails of a normal distribution being asymptotic?                                   

a. that scores above the mean are distributed the same as scores below the mean

b. that there are an infinite number of possible normal

c. that extreme scores are possible in the tails of a normal distribution

d. that this characteristic has no practical implication

Question 10

The ______ converts any normal distribution with any mean and any variance to a standard normal distribution with a mean of 0 and variance of 1.                                      

a. normal distribution

b. standard normal distribution

 c. standard normal transformation

d. unit normal table

Question 11

A professor finds that the students scored a 76 ± 8 (M ± SD) on the final exam. On this exam, a score of 90 is an A. Assuming these data are normally distributed, what is the z score for 90 (the cutoff for an A)?       

a. 1.75

b. 1.50

c. 1.25

d. There is not enough information to answer this question.

Question 12

A gambler rolls a 3 with one roll of a single fair die. Given that the die was six-sided, what was the probability of rolling a 3 with one roll?                                   

a. 1/6

b. 3/6

c. 1/9

d. 3/9

Question 13

What is the z score for scores in the top and bottom 2.5%?                                         

a. ±1.96

b. 1.96

c. .0124

d. ±.675

Question 14

Which of the following is not a step to locate a score in a normal distribution?                                    

a. locate a z score associated with a given proportion in the unit normal table

b. transform a raw score (x) into a z score

c. transform a z score into a raw score (x)

d. none of the above

Question 15

In a hypothetical job field, 10% of workers are promoted within their first year of employment. For this hypothetical job field, what is the probability that exactly 25 workers were promoted in their first year in a random sample of 200 workers? Hint: This is a binomial distribution, where p = .10 and q = .90.                    

a. less than 5%

b. greater than 95%

c. between 5% and 6%

d. between 15% and 16%