Psych 311 exam 2

A researcher selects a sample of size 4 from a population of size 6. How many possible samples of this size can be selected using experimental sampling? A)15 B)30 C)1,296 D)4,096

15

The following are six random outcomes for a sample space: -1, -3, -3, -2, -5, and -6. What is the probability of selecting a -3 in this example? A) 1/6 B) 2/6 C) -2/6 D) -3/6

2/6

A theoretical distribution that evenly distributes data around the mean, median, and mode is called the A)normal distribution B)bell-shaped distribution C)Gaussian distribution D)all of the above

all of the above

As sample size increases, the standard error of the mean A)increases B)decreases C)can increase or decrease D)does not change

decreases

What values are distributed along the x-axis for a sampling distribution of the sample mean? A)scores B)sample means C)sample variances D)both B and C

sample means

How is the standard error of the mean typically reported in a graph? A)using error bars B)by plotting sample means C)by listing group names along the x-axis D)it is never reported in a graph

using error bars

The unit of measurement distributed along the x-axis of a standard normal distribution is referred to as a A)standardized score B)x-score C)normalized deviation D)z score

z score

Suppose that the probability that any child of alcoholic parents becomes alcoholic is p = .16. Assuming independent outcomes, the probability that two children of alcoholic parents will be alcoholic equals A).16 B).32 C).25 D).03

.03

Probability ranges between 0 and 1 and is never negative. A) True B) False

True

A researcher selects a sample of size 6 from a population of size 10. How many possible samples of this size can be selected using theoretical sampling? A)100,000 B)1,000,000 C)10,000,000 D)over 60,000,000 samples

1,000,000

A researcher states that a sample of 100 shoppers spend 112 ± 40 (M ± SEM) dollars on groceries each week. Which value is the standard error of the mean? A)112 B)40 C)100 D)The standard error of the mean is not reported in the article

40

Which rule states that when two outcomes are mutually exclusive, the probability that either one of these outcomes will occur is the sum of their individual probabilities? A)additive rule B)multiplicative rule C)both A and B D)none of the above

Additive Rule

A binomial probability distribution is constructed for random variables that have at least two possible outcomes. A)True B)False

False

There are 25 possible samples of size 2 that can be selected from a population of 5 people using theoretical sampling. A)True B)False

True

There are more possible samples that can be selected using theoretical sampling than using experimental sampling for any sample size greater than 1. A)True B)False

True

What is the z score for scores in the bottom 10%? A)1.28 B)2.32 C)-2.32 D)-1.28

-1.28

The standard normal distribution is normally distributed with a mean of ____ and a variance of ____. A)0; 1 B)1; 0 C)any value; any positive value D)any positive value; any value

0; 1

A researcher reports that the probability of a college student living on campus is p = .38. If a small local college has 2,000 students enrolled, then what is the standard deviation of college students living on campus? Hint: This is a binomial probability distribution. A)471.2 students B)21.7 students C)760 students D)There is not enough information to answer this question.

21.7 students

Each of the following is an example of a binomial distribution, except A)the number of heads in ten flips of a fair coin B)the number of males and females in a sample C)the number of votes for or against a candidate D)the time it takes to complete a driving test

The time it takes to complete a driving test

A distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population is called A)a conditional procedure B)a sampling distribution C)sampling without replacement D)random sampling

a sampling distribution

Bayes' theorem is often applied to a variety of ________ probability situations, including those related to statistical inference. A)generic B)absolute C)conditional D)fixed

conditional

When the probability of one outcome changes depending on the occurrence of a second outcome, these outcomes are referred to as A)mutually exclusive B)complementary C)independent D)conditional

conditional

The mean of the sampling distribution of sample means is A)equal to the population mean B)equal to the population variance C)both A and B D)none of the above

equal to the population mean

Scores far from the mean are located in the ________ of a normal distribution. A)body B)tails C)most sensitive areas D)most uncertain areas

tails

Increasing the number of observations or samples in a study will decrease the standard error (standard error of the mean). This is known as A)Bob (not the right answer) B)the law of diminishing returns C)the theoretical law of estimtates D)the law of large numbers

the law of large numbers

Two outcomes are said to be mutually exclusive when A)the probability of the two outcomes occurring together is equal to zero (p = 0) B)the probability of the occurrence of one outcome has no effect on the probability of the occurrence of the second outcome C)the probability of the two outcomes occurring together is greater than zero (p > 0) D)the probability of the two outcomes occurring together sums to one

the probability of the two outcomes occurring together is equal to zero (p = 0)

The normal distribution has all of the following characteristics, except A)the mean can be any number B)it is mathematically defined C)the total area under the curve is greater than 1.0 D)the mean, median, and mode are equal

the total area under the curve is greater than 1.0

What is the z score for scores in the bottom 5%? A)1.645 B)-1.645 C).4801 D)-0.050

-1.645

Assume number of days absent is normally distributed. If a sample mean is 8 and SD is 2, what's the z-score for a person with 2 days absent? A)-3 B)-2 C)3 D)99

-3

A researcher records the following data for the number of bids made on a sample of items sold at an auction. Based on the table, what was the probability that an item had 7 bids made on it? Number of Bids Frequencies 3 5 4 12 5 7 6 6 7 10 A)5 B)10 C).10 D).25

.25

A researcher wants to know the probability of being named on the honor roll from a population where 8% of students are on the honor roll. If the researcher selects a sample of 400 students, then what is the mean number of students expected to be on the honor roll? Hint: This is a binomial distribution, where p = 0.08 and q = 0.92. A)29 B)32 C)368 D)200

32

How many possible samples of size 2 can be selected from a population of 5 using theoretical sampling? A)5 B)10 C)25 D)32

25

For the experimental sampling strategy, A)the order in which a participant is selected matters B)sampling is with replacement C)sampling is without replacement D)participants are not sampled from the population, but instead are sampled from other samples already drawn

sampling is without replacement

A researcher selects from a participant pool of 4 males and 6 females. He determines that the probability of selecting 2 male participants is p = .16. Based on this probability, what strategy did the researcher use to sample participants. A)sampling with replacement B)sampling without replacement

sampling with replacement

A normal distribution has a mean equal to 53. What is the standard deviation of this normal distribution if 2.5% of the proportion under the curve lies to the right of x = 66.72? (Round your answer to two decimal places) A)-7.00 B)0.14 C)7.00 D)49.00

7.00

If the standard deviation of a probability distribution is 9, then the variance is A)3 B)9 C)81 D)unknown

81

The probability that a participant is married is p(M) = .60. The probability that a participant is married and "in love" is p(ML) = .46. Thus, the probability that a participant is in love, given that the participant is married is p = .77. A)True B)False

True

The sample mean is an unbiased estimator of the population mean. A)True B)False

True

The probability that someone in the human population has blood type AB is about p = .08; the probability that someone has blood type O is about p = .25. Knowing that each individual can have one and only one blood type, what is the probability that a person has an AB or O blood type? A).33 B).02 C)1.00 D)This state of affairs is not possible.

.33

A professor records the grades for his class of students. He finds that the probability that a student earns an A is p = .14; earns a B is p = .36; earns a C is p = .32; earns a D is p = .10; and earns an F is p = .08. What is the probability that a student earns a B or better in this class? A) .36 B) .14 C) .86 D) .50

.50

In a game, the probability of winning money is p = .16, the probability of losing money is p = .54, and the probability of breaking even is p = .30. What is the probability of winning or losing money in this game? A).16 B).54 C).70 D)1.00

.70

The probability of making zero to two errors per 1,000 keystrokes is 0.43, and the probability of making three to five errors per 1,000 keystrokes is 0.28. Find the probability (per 1,000 keystrokes) associated with making at most five errors. A).29 B).43 C).57 D).71

.71

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)1/2 B)1/3 C)2/3 D)1.00

1/3

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

1/6

A researcher selects a sample of 100 participants from a population with a mean of 38 and a standard deviation of 20. About 68% of the sample means in this sampling distribution should be between a sample mean of A)34 and 40 B)34 and 38 C)38 and 44 D)36 and 40

36 and 40

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)252 students B)48 students C)16 students D)There is not enough information to answer this question.

48 students

A researcher selects a sample of 9 participants from a population with a mean of 8 and a standard deviation of 3. About 14% of the sample means in this sampling distribution should be between a sample mean of A)6 and 8 B)5 and 6 C)9 and 10 D)10 and 11

9 and 10

In a normal distribution, 50% of all data: A)fall above the mean B)fall below the median C)fall above and below the mode D)all of the above

All the above

If a researcher selects a sample of 64 participants from a population with a variance of 16, then the standard error of the mean will be 2.0. A)True B)False

False

In a normal distribution a score of 8 will always be more probable than a score of 0. A)True B)False

False

The central limit theorem states that the sample mean will equal the population mean on average. A)True B)False

False

The probability of an outcome is particularly useful for predicting the likelihood of fixed events. A)True B)False

False

What does it mean to say that the sample mean is an unbiased estimator of the population mean? A)The sample means will vary minimally from the population mean. B)The sampling distribution of possible sample means is approximately normally distributed, regardless of the shape of the distribution in the population. C)If we select a sample at random, then on average we can expect the sample mean to equal the population mean. D)all of the above

If we select a sample at random, then on average we can expect the sample mean to equal the population mean.

The distribution of probabilities for each outcome of a random variable that sums to 1.00 is called a A)random variable B)probability distribution C)conditional probability D)sample space

Probability distribution

Which proportion is largest in a z distribution? A)The proportion of area above the mean. B)The proportion of area between z = +1 and z = -1. C)The proportion of area greater then z = 1.0. D)The proportion of area less than z = 0.

The proportion of area between z = +1 and z = -1.

The following samples were selected by two researchers. Which is associated with a smaller standard error of the mean? Researcher A: n = 25, sample mean= 5, = 7 Researcher B: n = 25, sample mean = 32, population mean= 7 A)Researcher A B)Researcher B C)They both have the same standard error.

They both have the same standard error.

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 the z score into a raw score (x). C)Transform a raw score (x) into a z score.

Transform a raw score (x) into a z score.

A binomial probability distribution is the distribution of random outcomes for a bivariate or dichotomous random variable. A)True B)False

True

A researcher selects a sample of 625 participants from a population with a mean of 120 and a standard deviation of 25. The probability of selecting a sample mean that is larger than 125 is close to zero. A)True B)False

True

For a set of data with 25±2.5, at least 95% of scores fall between 20 and 30. A)True B)False

True

Probability distributions display the probability of each possible outcome for a given random variable. A)True B)False

True

The average sample variance equals the population variance when dividing SS by df. A)True B)False

True

The binomial probability distribution is distributed with, and =. A)True B)False

True

The expected value of a random variable is the mean of a probability distribution. A)True B)False

True

The sample space is equal to the total number of random outcomes possible for a random variable. A)True B)False

True

The sampling distribution of the mean has minimum variance. A)True B)False

True

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. A)True B)False

True

The standard error of the mean is the standard deviation in a sampling distribution of sample means. A)True B)False

True

While the expected value of the mean estimates the average outcome, the standard deviation of a probability distribution estimates the distance that all other outcomes deviate from the mean. A)True B)False

True

Most behavior is believed to ________ a normal distribution. A)be exactly equal to B)not resemble at all C)approximate

approximate

Suppose that a researcher selects a sample of participants from a population. If the shape of the distribution in this population is positively skewed, then what is the shape of the sampling distribution of sample means? A)approximately positively skewed B)approximately negatively skewed C)approximately normally distributed D)There is not enough information to answer this question, because the population mean and variance are not given.

approximately normally distributed

The mean of a probability distribution is called the A)expected value of the mean B)mathematical expectation C)both A and B D)none of the above

both A and B

The sample variance is an unbiased estimator of the population variance A)when dividing SS by n B)when dividing SS by df C)when dividing SS by n - 1 D)both B and C

both B and C

A researcher selects a sample of 16 participants from a population with a variance of 4. What is the standard error of the mean? A)less than 1 B)equal to 1 C)greater than 1 D)There is not enough information to answer this question.

less than 1

Which rule states that when two outcomes are independent, the probability that these outcomes occur together is the product of their individual probabilities? A)additive rule B)multiplicative rule C)both A and B D)none of the above

multiplicative rule

The following distribution most closely approximates a A)normal distribution B)positively skewed distribution C)negatively skewed distribution D)multimodal distribution

normal distribution

The probability of a college student being employed is p = .35. The probability of a student being employed and dropping out of college is p = .20. Hence, the probability of a student dropping out of college, given that he or she is employed, is A)p = .07 B)p = .57 C)p = .55 D)There is not enough information to answer this question.

p = .57

Suppose you select a sample of three people from a population of four (A, B, C, D). Which of the following samples is possible using the experimental sampling strategy? A)persons A, C, and A B)persons A, D, and D C)persons B, C, and D D)persons B, A, and B

persons B, C, and D

Regardless of the shape of the distribution in the population, the sampling distribution of sample variances approximates a A)normal distribution B)positively skewed distribution C)negatively skewed distribution D)multimodal distribution

positively skewed distribution

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

probability

What values are distributed along the x-axis for a sampling distribution of the sample variance? A)scores B)sample means C)sample variances D)both B and C

sample variances

The normal distribution is symmetrical, which means that A)scores above the mean are distributed the same as scores below the mean B)extreme scores are possible in a normal distribution C)there are an infinite number of possible normal distributions D)this characteristic has no practical implication

scores above the mean are distributed the same as scores below the mean

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 extreme scores are possible in a normal distribution C)that there are an infinite number of possible normal distributions D)that this characteristic has no practical implication

that extreme scores are possible in a normal distribution

Each of the following statements are true, except that A)increasing the sample size will decrease standard error B)the larger the sample size, the larger the standard error C)the larger the standard deviation in the population, the larger the standard error D)both B and C

the larger the sample size, the larger the standard error