Purchase Solution

T-Test and Chi-Square Test for Gender, Age, Department and Tenure

Not what you're looking for?

Ask Custom Question

Work through a t-test to compare the means of two groups of data. One possible example is to compare the tenure of females to the tenure of males. Ensure that you begin by stating the null and alternative hypotheses. Your final answer should point out if the null is confirmed or rejected and why. Please show as much work as possible.

Work through a chi-square test to compare the expected and observed frequencies of two groups within our Unit 1 data set. One possible example is to compare the actual number of female and male participants in the data set. Ensure that you begin by stating the null and alternative hypotheses. Your final answer should point out if the null is confirmed or rejected and why. Please show as much work as possible.

Attachments
Purchase this Solution
Solution Summary

This Solution contains over 400 words and calculations to aid you in understanding the Solution to this question.

Solution Preview

Please see the attached file for the solution.

Thanks for using BrainMass.

Solution:

T test to compare the means of two groups of data:

Ho: There is no significant difference in the tenure of females to the tenure of males.

Ha: There is significant difference in the tenure of females to the tenure of males.

t = (x1 - x2 ) / s √(1/n1+ 1/n2)

S² = [(n1-1)s1² + (n2-1)s2²] ...

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.

Measures of Central Tendency

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

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.

View More Free Quizzes
Related BrainMass Solutions

  • Work through a t-test and Work through a chi-square test

    This solution works through a t-test and a chi-square test for the given data provided.

  • Chi Square Hypothesis Test

    The number of accidents reports for each age group is as follows: Under Age 20 Age 20-29 Age 30 or Older 68 92 140 A. Calculate and report the chi-square test statistic. B.

  • Chi-square test and t-test to make comparisons of data

    68050 Chi-square test and t-test to make comparisons of data Work through a t-test to compare the means of two groups of data. One possible example is to compare the tenure of females to the tenure of males.

  • Research Analysis Set of Hypothesis

    Chi-square test for independence Chi square test help us to verify whether some variables are independent. What we are trying to check is whether HIV occurrence is depending on the independent variables: age, gender and number of partners.

  • Applying chi-square and t-test for job satisfaction

    The xl file has calculations for chi square and the means of males and females are in dataset1. To determine job satisfaction of male and female using t-test and chi-square

  • Chi-square and t-test

    You have to use only z-test However since you have asked for t-test, I have taken small sample and calculated t-test For that data I have used t-test Which ever is required submit it.

  • Chi Square Test and Students t test

    Conclusion Since the calculated value of Chi square is less than critical value , we accept the null hypothesis The formula used for student's t and Chi Square Test can be found in John A.

  • T-test and Comparing Two Sets of Data

    Tenure With Company 1 Male 1 Less than 2 years 2 Female 2 2 to 5 years Age 3 Over 5 Years 1 21 and under 2 22-49 OVERALL Scale from 1-7 3 50 and over JOB SATISFACTION 1= Least Satisfied Department 7= Most Satisfied 1 Human Resources

  • Hypothesis Testing Using One Variable's Data

    For the data Gender, Age, Department, Position and Tenure graphical representations are done.

View More Related Solutions