Skip to main content
Ch. 10 - Chi-Square Tests and the F-Distribution
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470Not the one you use?Change textbook
Chapter 10, Problem 10.1.4

Finding Expected Frequencies
In Exercises 3–6, find the expected frequency for the values of n and pᵢ.


n=500, pᵢ=0.9

Verified step by step guidance
1
Step 1: Recall the formula for expected frequency, which is given by E = n × pᵢ, where E is the expected frequency, n is the total number of trials, and pᵢ is the probability of success for a specific category.
Step 2: Identify the values provided in the problem. Here, n = 500 (total number of trials) and pᵢ = 0.9 (probability of success for the category).
Step 3: Substitute the given values into the formula. This means replacing n with 500 and pᵢ with 0.9 in the equation E = n × pᵢ.
Step 4: Perform the multiplication to calculate the expected frequency. Specifically, multiply 500 by 0.9 to find the value of E.
Step 5: Interpret the result. The expected frequency represents the number of occurrences you would expect in the category with probability pᵢ = 0.9 out of 500 trials.

Verified video answer for a similar problem:

This video solution was recommended by our tutors as helpful for the problem above.
Video duration:
1m
Was this helpful?

Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Expected Frequency

Expected frequency refers to the anticipated number of occurrences of a particular outcome in a statistical experiment, calculated by multiplying the total number of trials (n) by the probability of the outcome (pᵢ). In this case, it helps in determining how many times we expect a specific event to happen based on the given probability.
Recommended video:
Guided course
08:18
Contingency Tables & Expected Frequencies

Probability

Probability is a measure of the likelihood that a particular event will occur, expressed as a number between 0 and 1. In the context of this question, pᵢ represents the probability of a specific outcome occurring in a sample of size n, which is crucial for calculating expected frequencies.
Recommended video:
5:37
Introduction to Probability

Sample Size (n)

Sample size (n) refers to the total number of observations or trials in a statistical study. A larger sample size generally provides more reliable estimates of expected frequencies, as it reduces the impact of random variation and allows for better generalization of results to the population.
Recommended video:
05:11
Sampling Distribution of Sample Proportion
Related Practice
Textbook Question

What conditions are necessary in order to use a one-way ANOVA test?

186
views
Textbook Question

Performing a One-Way ANOVA Test In Exercises 5–14, (a) identify the claim and state H0 and Ha, (b) find the critical value and identify the rejection region, (c) find the test statistic F, (d) decide whether to reject or fail to reject the null hypothesis, and (e) interpret the decision in the context of the original claim. Assume the samples are random and independent, the populations are normally distributed, and the population variances are equal.


[APPLET] Statistician Salaries The table shows the salaries of a sample of entry level statisticians from six large metropolitan areas. At α=0.05, can you conclude that the mean salary is different in at least one of the areas? (Adapted from Salary.com)


72
views
Textbook Question

Performing a Chi-Square Independence Test In Exercises 13–28, perform the indicated chi-square independence test by performing the steps below.

a. Identify the claim and state H₀ and Hₐ


b. Determine the degrees of freedom, find the critical value, and identify the rejection region.


c. Find the chi-square test statistic.


d. Decide whether to reject or fail to reject the null hypothesis.


e. Interpret the decision in the context of the original claim.


Ages and Goals You are investigating the relationship between the ages of U.S. adults and what aspect of career development they consider to be the most important. You randomly collect the data shown in the contingency table. At α=0.10, is there enough evidence to conclude that age is related to which aspect of career development is considered to be most important? (Adapted from The Harris Poll)


75
views
Textbook Question

"Finding Left-Tailed Critical F-Values In this section, you only needed to calculate the right-tailed critical F-value for a two-tailed test. For other applications of the F-distribution, you will need to calculate the left-tailed critical F-value. To calculate the left-tailed critical F-value, perform the steps below.


1. Interchange the values for d.f.N and d.f.D.

2. Find the corresponding F-value in Table 7.

3. Calculate the reciprocal of the F-value to obtain the left-tailed critical F-value.


In Exercises 27 and 28, find the right- and left-tailed critical F-values for a two-tailed test using the level of significance α and degrees of freedom d.f.N and d.f.D.


α=0.10, d.f.N=20, d.f.D=15"

130
views
Textbook Question

Performing a Chi-Square Goodness-of-Fit Test

In Exercises 7–16, (a) identify the claim and state H₀ and Hₐ, (b) find the critical value and identify the rejection region, (c) find the chi-square test statistic, (d) decide whether to reject or fail to reject the null hypothesis, and (e) interpret the decision in the context of the original claim.


Coffee A researcher claims that the numbers of cups of coffee U.S. adults drink per day are distributed as shown in the figure. You randomly select 1600 U.S. adults and ask them how many cups of coffee they drink per day. The table shows the results. At α=0.05, test the researcher’s claim. (Adapted from Gallup)


97
views
Textbook Question

Describe the difference between the variance between samples MSB and the variance within samples MSW.

146
views