Purchase Solution

Statistics - Hypothesis Test Chi Square Test

Not what you're looking for?

Ask Custom Question

High levels of cockpit noise in an aircraft can damage the hearing of pilots who are exposed to this hazard for many hours. A Boeing 727 co-pilot collected 61 noise observations using a handheld sound meter. Noise level is defined as "Low" (under 88 decibels), "Medium" (88 to 91 decibels), or "High" (92 decibels or more). There are three flight phases (Climb, Cruise, Descent). Use α = .05

Research Question: Is the cockpit noise level independent of flight phase?

Noise Level Climb Cruise Decent Row Total
Low 6 2 6 14
Medium 18 3 8 29
High 1 3 14 18
Column Total 25 8 28 61

A. Choose the Hypothesis

Ho:
H1:

B. Specify the Decision Rule

C. Calculate the Test Statistic

D. Make the Decision. Where the Chi-Square assumptions met?

E. Give an interpretation of the Decision

Purchase this Solution
Solution Summary

A Complete, Neat and Step-by-step Solution is provided in the attached file.

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

View More Free Quizzes
Related BrainMass Solutions

  • Testing Goodness of fit

    Statistics is chi square, calculated as under =0.8 Value of chi square statistics (Test statistics)=0.8 Step 5, Critical Value of chi square and decision rule Degree of freedom=6-1=5 Significance level=.05 Refer tables

  • Test to see if the number of resignations is uniform over the 4 seasons.

    as under = 8.4 Value of chi square statistics (Test statistics)=8.4 Step 5, Critical Value of chi square and decision rule Degree of freedom=4-1=3 Significance level=.05 Refer tables or

  • Chi-Square test by hand

    test statistics is 229.6604 Since Chi-square test statistics value lies outside the upper critical value of 11.143, so we will reject the null hypothesis in this case.

  • Chi-Square

    Find the statistics needed to perform a Chi Square test on the data.

  • Hypothesis Testing for the Motor Vehicle Department

    Statistics is chi square, calculated as under = 10.41666667 Value of chi square statistics (Test statistics)=10.41666667 Critical Value of chi square Degree of freedom=2-1=1 Significance level=.05 Refer tables

  • Statistics: Hypothesis Tests and Chi Square Tests

    What is the degree of freedom for this hypothesis test? What is the numerical chi square critical value? What is the numerical value of the Chi Square test statistic? What is the numerical Chi Square critical value?

  • Chi Square Test for Numbers of Citations

    The sample provides enough evidence to support the claim The solution gives the complete details of chi square test.

  • Testing of variance with chi-square

    Decide whether to reject or fail to reject the null hypothesis. Since the chi-square test statistics value lies between the upper and lower critical value so we will not be able to reject the null hypothesis. 17.

  • One way ANOVA table and chi square statistics

    The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude? Refer to the tables of chi square and check for 0.05 with 2 degree of freedom. We get critical value of chi square = 5.991.

  • "Goodness-of-fit test" vs "Chi-square test for independence"

    39681 "Goodness-of-fit test" vs "chi-square test for independence" The "goodness-of-fit test" and the "chi-square test for independence" both are used for hypothesis testing. These are easy to get mixed up.

View More Related Solutions