Exam 14: Testing Hypotheses About the Difference Between Two Independent Groups

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In testing a hypothesis about the difference between two means, the probability of rejecting (when there is a difference) is increased when

(Multiple Choice)

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Question 21

Given the following information about the two populations, compute d, (a) (b) (c)

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Question 22

Random sampling and random assignment

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Question 23

Suppose that The mean of a sampling distribution of for samples drawn from these populations would equal

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Question 24

Combining data from two samples to make a pooled variance estimate is logically justified when

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Question 25

Professor Jones performs a t test of using and finds a significant difference between and From this we can infer

(Multiple Choice)

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Question 26

In testing the difference between two means, a one-tailed test would be appropriate when

(Multiple Choice)

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Question 27

The hypothesis testing procedures for comparing means of independent samples would be inappropriate for comparing

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Question 28

Calculate the different measures of effect size, g and r, for the results in Problem 4

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Question 29

You plan to conduct a two-tailed test of $You plan to conduct a two-tailed test of ( \alpha = .05).using samples of size What is the probability of detecting a d of: (a).1(b).2(c).3(d).5(e)1 What do the answers to this problem suggest about using samples of this size?$ ( $\alpha$ = .05).using samples of size $You plan to conduct a two-tailed test of ( \alpha = .05).using samples of size What is the probability of detecting a d of: (a).1(b).2(c).3(d).5(e)1 What do the answers to this problem suggest about using samples of this size?$ What is the probability of detecting a d of: (a).1(b).2(c).3(d).5(e)1 What do the answers to this problem suggest about using samples of this size?

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Question 30

Samples of size 12 and 10 are selected from populations 1 and 2, respectively. The sample results give Our best pooled estimate of is

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Question 31

When using a t test to analyze the results of an experiment using college sophomore volunteers, the assumption of random sampling

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Question 32

We wish to determine if two strains of laboratory rats differ in maze-running ability. Random samples of naive (never been experimented on) rats are selected from each strain, and each rat is run through a test maze until it can negotiate the maze with no errors on two consecutive trials. The following results are obtained (number of trials to learn): (a) Set up and . (b) Perform the test (α = .05) (c) Draw final conclusions.

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Question 33

Showing 21 - 33 of 33

In testing a hypothesis about the difference between two means, the probability of rejecting (when there is a difference) is increased when

Given the following information about the two populations, compute d, (a) (b) (c)

Random sampling and random assignment

Suppose that The mean of a sampling distribution of for samples drawn from these populations would equal

Combining data from two samples to make a pooled variance estimate is logically justified when

Professor Jones performs a t test of using and finds a significant difference between and From this we can infer

In testing the difference between two means, a one-tailed test would be appropriate when

The hypothesis testing procedures for comparing means of independent samples would be inappropriate for comparing

Calculate the different measures of effect size, g and r, for the results in Problem 4

Samples of size 12 and 10 are selected from populations 1 and 2, respectively. The sample results give Our best pooled estimate of is

When using a t test to analyze the results of an experiment using college sophomore volunteers, the assumption of random sampling

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing for a Difference

Inference About Correlation Coefficients

An Alternative to Hypothesis Testing: Confidence Intervals

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

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Exam 14: Testing Hypotheses About the Difference Between Two Independent Groups

In testing a hypothesis about the difference between two means, the probability of rejecting (when there is a difference) is increased when

Given the following information about the two populations, compute d, (a) (b) (c)

Random sampling and random assignment

Suppose that The mean of a sampling distribution of for samples drawn from these populations would equal

Combining data from two samples to make a pooled variance estimate is logically justified when

Professor Jones performs a t test of using and finds a significant difference between and From this we can infer

In testing the difference between two means, a one-tailed test would be appropriate when

The hypothesis testing procedures for comparing means of independent samples would be inappropriate for comparing

Calculate the different measures of effect size, g and r, for the results in Problem 4

You plan to conduct a two-tailed test of ( α\alphaα = .05).using samples of size What is the probability of detecting a d of: (a).1(b).2(c).3(d).5(e)1 What do the answers to this problem suggest about using samples of this size?

Samples of size 12 and 10 are selected from populations 1 and 2, respectively. The sample results give Our best pooled estimate of is

When using a t test to analyze the results of an experiment using college sophomore volunteers, the assumption of random sampling

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing for a Difference

Inference About Correlation Coefficients

An Alternative to Hypothesis Testing: Confidence Intervals

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters