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
Let’s assume you are having a party and have stocked your refrigerator with beverages. You have 12 bottles of Coors beer, 24 bottles of Rainier beer, 24 bottles of Schlitz light beer, 12 bottles of Hamms beer, 2 bottles of Heineken dark beer and 6 bottles of Pepsi soda. You go to the refrigerator to get beverages for your friends. In answering the following question assume you are randomly sampling without replacement. What is the probability the first four bottles you select will be a Coors, a Schlitz, a Rainier, and a Coors in that order?
Question 30
2 out of 2 points
S (Y – Y’)2 represents _________.
Question 31
2 out of 2 points
The assumption of homoscedasticity is that _________.
Question 32
2 out of 2 points
Two events are mutually exclusive if _________.
Question 33
2 out of 2 points
The value aY is the X axis intercept for minimizing errors in Y.
Question 34
2 out of 2 points
Teresa, a star player in women’s college softball, is participating in a home run contest. If the probability she will hit a home run on any pitch is 0.65 what is the probability that out of 10 tries, at least 7 will be home runs?
Question 35
2 out of 2 points
In regression analysis we are only concerned with perfect as opposed to imperfect relationships.
Question 36
2 out of 2 points
If events A and B are independent, then p(A and B) = _________.
Question 37
2 out of 2 points
If N > 20, the binomial distribution cannot be used.
Question 38
2 out of 2 points
If P = 0.30 and Q = 0.67, the binomial distribution does not apply.
Question 39
2 out of 2 points
If one of the terms in a binomial expansion were 210P6Q4, what is the value of N?
Question 40
2 out of 2 points
In (P + Q)7 the term Q7 indicates 0 P events.
Question 41
2 out of 2 points
If the relationship between two variables is perfect the standard error of estimate equals 0.
Question 42
2 out of 2 points
A cat lover wants to know if cats have color vision. She teaches her cat to press a green button to obtain a food reward. She then gives the cat a choice between a green and a red button, but only rewards it when it presses the red button. Position of the button is controlled for. The cat is given several practice trials, and then tested 15 times. If the cat cannot distinguish between red and green, what is the probability that it will push the red button at least 12 times out of 15?
Question 43
2 out of 2 points
In one flip of 10 unbiased coins, what is the probability of getting 8 or more heads?
Question 44
2 out of 2 points
A biased coin is defined as _________.
a coin that when tossed has a probability of coming up heads that is unequal to the probability of coming up tails
Question 45
2 out of 2 points
For all problems, we must use either the Addition Rule or the Multiplication Rule, but not both.
Question 46
2 out of 2 points
The probability of correctly calling 4 tosses of an unbiased coin in a row equals _________.
Question 47
2 out of 2 points
As N increases, the binomial distribution _________.
Question 48
2 out of 2 points
Multiple regression always results in greater prediction accuracy than simple regression.
Question 49
2 out of 2 points
If μ = 35.2 and s = 10, then p(X) for X £ 39 equals _________. Assume random sampling.
Question 50
2 out of 2 points
If the standard deviations of the X and Y distributions are equal, then r = bY.
