QuestionQuestion 12 out of 2 pointsA posteriori probability refers to _________.

Question 1

2 out of 2 points

A posteriori probability refers to _________.

Question 2

2 out of 2 points

For regression purposes,

Question 3

2 out of 2 points

An a posteriori approach to probability is never used because it is only an approximation of the true probability.

Question 4

2 out of 2 points

A set of events is exhaustive if _________.

Question 5

2 out of 2 points

Properly speaking, we should limit our predictions to the range of the base data.

 

Question 6

2 out of 2 points

To do linear regression, there must be paired scores on two variables.

 

Question 7

2 out of 2 points

When two events are mutually exclusive then p(A and B) must equal 1.00.

Question 8

2 out of 2 points

If P >Q, the binomial distribution will be symmetrical.

 

Question 9

2 out of 2 points

If a town of 7000 people has 4000 females in it, then the probability of randomly selecting 6 females in six draws (with replacement) equals _________.

Question 10

2 out of 2 points

P0 equals _________.

Question 11

2 out of 2 points

When predicting Y, adding a second predictor variable to the first predictor variable X, will _______.

Question 12

2 out of 2 points

Which of the following are examples of mutually exclusive events?

Question 13

2 out of 2 points

In the regression equation Y’ = X, the Y-intercept is _________.

 

Question 14

2 out of 2 points

Consider the binomial expansion for 6 events:

P6 + 6P5Q + 15P4Q2 + 20P3Q3 + 15P2Q4 + 6PQ5 + Q6

What term(s) would you use to evaluate the probability of obtaining 1 or fewer heads from 6 flips of an unbiased coin?

Question 15

2 out of 2 points

Hypothesis testing is part of inferential statistics while parameter estimation is used in descriptive statistics.

 

Question 16

2 out of 2 points

In order to use the binomial distribution, which of the following conditions are necessary?

Question 17

2 out of 2 points

The binomial distribution is _________ symmetrical.

Question 18

2 out of 2 points

Assuming the binomial distribution is appropriate, if N = 10 and P = 0.30, the probability of getting at least 8 P events is _________.

Question 19

2 out of 2 points

The regression constant for predicting Y given X is symbolized by _________.

Question 20

2 out of 2 points

If the value of = 4.00 for relationship A and = 5.25 for relationship B, in which relationship would you have the most confidence in a particular prediction?

Question 21

2 out of 2 points

Which of the following statements is(are) false?

Question 22

2 out of 2 points

The higher the r value, the lower the standard error of estimate.

 

Question 23

2 out of 2 points

An imperfect relationship generally yields exact prediction.

Question 24

2 out of 2 points

The binomial distribution only applies to flipping coins and not to real life situations.

 

Question 25

2 out of 2 points

Assume your friend just took an exam made up of 20 true/false questions. Further assume that your friend had no knowledge relevant to the questions, and consequently just guessed the answer to each question What is the probability your friend will pass the exam. Each question has the same weight and 60% or more correct answers results in a passing grade.

Question 26

2 out of 2 points

Pearson r is the slope of the least squares regression line when the scores are plotted as z scores.

 

Question 27

2 out of 2 points

If the relationship between X and Y is perfect:

Question 28

2 out of 2 points

The multiplication and addition rules can be applied together in the same problem in order to calculate probabilities under some circumstances.

Question 29

2 out of 2 points

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