Exam 20: Chi-Square and Inference About Frequencies

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Only red and blue flowers are produced from a particular seed mixture. We plant a random sample of 27 seeds and obtain 6 blue and 21 red flowers. We wish to test the null hypothesis that the mixture gives twice as many red flowers as blue flowers. The value of f_e for red flowers is

(Multiple Choice)

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Question 21

In a contingency table, the number of degrees of freedom is

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Question 22

Use the following data to answer Questions -The number of degrees of freedom for this problem is

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Question 23

In a poll taken 3 months ago, the preferences of voters among three candidates running for mayor were: Smith = 45%, Jones = 35%, and Thompson = 20%. Candidate Thompson's election committee has just polled 120 likely voters at random and found that 40 said that they would vote for Smith, 35 for Jones and 45 for Thompson. Has the voter's preference changed since the earlier poll [use ( $\alpha$ = .05)]?

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Question 24

The chi-square distribution is like the t distribution in that

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Question 25

We want to know whether the proportion of freshman men who select psychology as their major differs from the proportion of freshman women who do so. This question may be tested by

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Question 26

In chi-square analysis of the contingency table, the null hypothesis is that

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Question 27

Showing 21 - 27 of 27

Only red and blue flowers are produced from a particular seed mixture. We plant a random sample of 27 seeds and obtain 6 blue and 21 red flowers. We wish to test the null hypothesis that the mixture gives twice as many red flowers as blue flowers. The value of f_e for red flowers is

In a contingency table, the number of degrees of freedom is

Use the following data to answer Questions -The number of degrees of freedom for this problem is

The chi-square distribution is like the t distribution in that

We want to know whether the proportion of freshman men who select psychology as their major differs from the proportion of freshman women who do so. This question may be tested by

In chi-square analysis of the contingency table, the null hypothesis is that

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 Hypotheses About the Difference Between Two Independent Groups

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

Some Almost Assumption-Free Tests

Filters

Exam 20: Chi-Square and Inference About Frequencies

Only red and blue flowers are produced from a particular seed mixture. We plant a random sample of 27 seeds and obtain 6 blue and 21 red flowers. We wish to test the null hypothesis that the mixture gives twice as many red flowers as blue flowers. The value of fe for red flowers is

In a contingency table, the number of degrees of freedom is

Use the following data to answer Questions -The number of degrees of freedom for this problem is

The chi-square distribution is like the t distribution in that

We want to know whether the proportion of freshman men who select psychology as their major differs from the proportion of freshman women who do so. This question may be tested by

In chi-square analysis of the contingency table, the null hypothesis is that

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 Hypotheses About the Difference Between Two Independent Groups

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

Some Almost Assumption-Free Tests

Filters

Only red and blue flowers are produced from a particular seed mixture. We plant a random sample of 27 seeds and obtain 6 blue and 21 red flowers. We wish to test the null hypothesis that the mixture gives twice as many red flowers as blue flowers. The value of f_e for red flowers is