Question 1

Sample is to population as ____ is to ____.

Accepted Answer

A)  statistic; parameter 
B)  inductive; deduction 
C)  parameter; variance 
D)  Type I; Type II 
A)  statistic; parameter 
B)  inductive; deduction 
C)  parameter; variance 
D)  Type I; Type II

Question 2

Using inferential statistics, we can learn about the population by studying:

Accepted Answer

A)  reliability of the null hypothesis. 
B)  Type I errors. 
C)  the sample. 
D)  confounds. 
A)  reliability of the null hypothesis. 
B)  Type I errors. 
C)  the sample. 
D)  confounds.

Question 3

In the normal distribution, the percentage of scores that fall within one standard deviation of the mean is approximately:

Accepted Answer

A)  34% 
B)  50% 
C)  68% 
D)  95% 
A)  34% 
B)  50% 
C)  68% 
D)  95%

Question 4

What does p < .001 mean and how is it used in t-tests?

Accepted Answer

In the context of a t-test, or any stati

Question 5

Compare and contrast t-tests with analysis of variance.

Accepted Answer

T-tests and analysis of variance (ANOVA)

Question 6

The Central Limit theorem states that:

Accepted Answer

A)  if many samples are drawn randomly from a population, their means tend to be normally distributed. 
B)  the means of large samples will be better measures of central tendency than the means of small samples. 
C)  most scores will fall within three standard deviations of the mean. 
D)  the standard error of a distribution is limited by its central tendency. 
A)  if many samples are drawn randomly from a population, their means tend to be normally distributed. 
B)  the means of large samples will be better measures of central tendency than the means of small samples. 
C)  most scores will fall within three standard deviations of the mean. 
D)  the standard error of a distribution is limited by its central tendency.

Question 7

Which of the following p values gives you the least confidence regarding the outcome of a study?

Accepted Answer

A)  p<.10 
B)  p<.05 
C)  p<.01 
D)  p<.001 
A)  p<.10 
B)  p<.05 
C)  p<.01 
D)  p<.001

Question 8

In a journal article, it was reported that t(16) = 3.42, p < .01. What does this mean? Explain each of the components of this mathematical statement.

Accepted Answer

In the given journal article, the statem

Question 9

What is the null hypothesis? What does it mean to reject the null hypothesis? Why and how is this an inferential process?

Accepted Answer

The null hypothesis is a statement that

Question 10

The additive rule of probability is:

Accepted Answer

A)  probability (A or 
B)  = probability (
A)  + probability (
B) /AB. 
B)  probability (A or 
B)  = (probability (
A)  + probability (
B) )/2. 
C)  probability (A or 
B)  = probability (
A)  - probability (
B) . 
D)  probability (A or 
B)  = probability (
A)  + probability (
B) . 
A)  probability (A or 
B)  = probability (
A)  + probability (
B) /AB. 
B)  probability (A or 
B)  = (probability (
A)  + probability (
B) )/2. 
C)  probability (A or 
B)  = probability (
A)  - probability (
B) . 
D)  probability (A or 
B)  = probability (
A)  + probability (
B) .

Question 11

The probability of dealing a spade from a fair deck of cards is:

Accepted Answer

A)  .125 
B)  .25 
C)  .50 
D)  1.50 
A)  .125 
B)  .25 
C)  .50 
D)  1.50

Question 12

If many large samples are drawn from a population and their means plotted, the variability of those means will be ____ than if many small samples are drawn.

Accepted Answer

A)  smaller 
B)  larger 
C)  no different 
D)  either larger or no different 
A)  smaller 
B)  larger 
C)  no different 
D)  either larger or no different

Question 13

Discuss the gambler's fallacy in the context of independent events.

Accepted Answer

The gambler's fallacy is the mistaken be

Question 14

Refer to Scenario 6-1. What is the probability that the student is male?

Accepted Answer

A)  .20 
B)  .30 
C)  .40 
D)  .50 
A)  .20 
B)  .30 
C)  .40 
D)  .50

Question 15

As the sample size increases, standard error:

Accepted Answer

A)  decreases. 
B)  increases. 
C)  stays the same. 
D)  may increase or decrease depending on the size of the population. 
A)  decreases. 
B)  increases. 
C)  stays the same. 
D)  may increase or decrease depending on the size of the population.

Question 16

Refer to Scenario 6-1. What is the probability that the student is a sociology major?

Accepted Answer

A)  .20 
B)  .30 
C)  .40 
D)  .50 
A)  .20 
B)  .30 
C)  .40 
D)  .50

Question 17

Discuss the Central Limit Theorem and its use in inferential statistics.

Accepted Answer

The Central Limit Theorem (CLT) is a fun

Question 18

If your results were significant at p<.001:

Accepted Answer

A)  the probability that the results occurred by chance is less than 1 in 1000. 
B)  the probability of being correct is less than 1 in 1000. 
C)  the probability that the experimental manipulation worked is less than 1 in 1000. 
D)  none of these 
A)  the probability that the results occurred by chance is less than 1 in 1000. 
B)  the probability of being correct is less than 1 in 1000. 
C)  the probability that the experimental manipulation worked is less than 1 in 1000. 
D)  none of these

Question 19

Inferential statistics allow us to:

Accepted Answer

A)  infer from a population the characteristics of a sample. 
B)  infer from a sample the characteristics of a population. 
C)  infer that a sample is random. 
D)  describe the statistical properties of a sample. 
A)  infer from a population the characteristics of a sample. 
B)  infer from a sample the characteristics of a population. 
C)  infer that a sample is random. 
D)  describe the statistical properties of a sample.

Question 20

When using inferential statistics to estimate the population variance, you divide the sum of the squares by:

Accepted Answer

A)  N 
B)  N+1 
C)  square root of N 
D)  N-1 
A)  N 
B)  N+1 
C)  square root of N 
D)  N-1

Sample is to population as is to .

Using inferential statistics, we can learn about the population by studying:

In the normal distribution, the percentage of scores that fall within one standard deviation of the mean is approximately:

What does p < .001 mean and how is it used in t-tests?

Compare and contrast t-tests with analysis of variance.

The Central Limit theorem states that:

Which of the following p values gives you the least confidence regarding the outcome of a study?

In a journal article, it was reported that t(16) = 3.42, p < .01. What does this mean? Explain each of the components of this mathematical statement.

What is the null hypothesis? What does it mean to reject the null hypothesis? Why and how is this an inferential process?

The additive rule of probability is:

The probability of dealing a spade from a fair deck of cards is:

If many large samples are drawn from a population and their means plotted, the variability of those means will be ____ than if many small samples are drawn.

Discuss the gambler's fallacy in the context of independent events.

Refer to Scenario 6-1. What is the probability that the student is male?

As the sample size increases, standard error:

Refer to Scenario 6-1. What is the probability that the student is a sociology major?

Discuss the Central Limit Theorem and its use in inferential statistics.

If your results were significant at p<.001:

Inferential statistics allow us to:

When using inferential statistics to estimate the population variance, you divide the sum of the squares by:

Applying Psychology to Teaching

Stage Theories of Development

Age-Level Characteristics

Understanding Student Differences

Addressing Cultural and Socioeconomic Diversity

Behavioral and Social Learning Theories

Information-Processing Theory

Constructivist Learning Theory, Problem Solving, and Transfer

Approaches to Instruction

Motivation

Classroom Management

Assessment of Classroom Learning

Understanding and Using Standardized Tests

Becoming a Better Teacher by Becoming a Reflective Teacher

Becoming a Better Teacher by Becoming a Reflective Teacher

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Exam 6: Accommodating Student Variability

Sample is to population as ____ is to ____.

Using inferential statistics, we can learn about the population by studying:

In the normal distribution, the percentage of scores that fall within one standard deviation of the mean is approximately:

What does p < .001 mean and how is it used in t-tests?

Compare and contrast t-tests with analysis of variance.

The Central Limit theorem states that:

Which of the following p values gives you the least confidence regarding the outcome of a study?

In a journal article, it was reported that t(16) = 3.42, p < .01. What does this mean? Explain each of the components of this mathematical statement.

What is the null hypothesis? What does it mean to reject the null hypothesis? Why and how is this an inferential process?

The additive rule of probability is:

The probability of dealing a spade from a fair deck of cards is:

If many large samples are drawn from a population and their means plotted, the variability of those means will be ____ than if many small samples are drawn.

Discuss the gambler's fallacy in the context of independent events.

Refer to Scenario 6-1. What is the probability that the student is male?

As the sample size increases, standard error:

Refer to Scenario 6-1. What is the probability that the student is a sociology major?

Discuss the Central Limit Theorem and its use in inferential statistics.

If your results were significant at p<.001:

Inferential statistics allow us to:

When using inferential statistics to estimate the population variance, you divide the sum of the squares by:

Applying Psychology to Teaching

Stage Theories of Development

Age-Level Characteristics

Understanding Student Differences

Addressing Cultural and Socioeconomic Diversity

Behavioral and Social Learning Theories

Information-Processing Theory

Constructivist Learning Theory, Problem Solving, and Transfer

Approaches to Instruction

Motivation

Classroom Management

Assessment of Classroom Learning

Understanding and Using Standardized Tests

Becoming a Better Teacher by Becoming a Reflective Teacher

Becoming a Better Teacher by Becoming a Reflective Teacher

Filters

Sample is to population as is to .