Purchase Solution

Chi-square Test for Association

Not what you're looking for?

Ask Custom Question

5. A car manufacturer has four plants, say Plants A,B,C and D. The CEO would like to know if worker ratings differ among the four plants. You (VP of HR) must decide if the workers rating differ proportionately among the plants. You randomly select 239 worker ratings from the four plants. The table below shows the number of workers rated as exceeding expectations, meeting expectations, or below expectations.
Rating PLANT A PLANT B PLANT C PLANT D
Exceeds expectations 13 12 10 9
Meets expectations 34 36 46 33
Below expectations 6 15 14 11

A.) STATE THE NULL AND ALTERNATE HYPOTHESIS
B.) IF H0 IS TRUE, WHAT IS THE EXPECTED NUMBER OF WORKERS RATED "EXCEEDS EXPECTATIONS" IN PLANT C?
C.) WHAT DO YOU REPORT TO THE CEO AND WHY?

Attachments
Purchase this Solution
Solution Summary

The solution provides step by step method for the calculation of chi square test for association. Formula for the calculation and Interpretations of the results are also included. Interactive excel sheet is included. The user can edit the inputs and obtain the complete results for a new set of data.

Purchase this Solution
Free BrainMass Quizzes
Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

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.

Measures of Central Tendency

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

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.

View More Free Quizzes
Related BrainMass Solutions

  • Chi-Square test

    430516 Chi-Square Test for Independence of Gender and Backround For the data in the spreadsheet, perform chi-square tests for independence to determine if certification is independent of gender, and if certification is independent of having prior industry

  • Similarities dissimilarities between chi-square correlation

    Different: The chi square test is often a test against an expected proportion but this is not true for correlation.

  • Chi square test for association

    The sample does not provide enough evidence support the claim that there is association between the rows and columns. The solution provides step by step method for the calculation of chi square test for association.

  • Chi square test for association: Finance & Income Range

    324495 Chi square test for association: Finance & Income Range A random sample of 100 people were asked if their finances were worse, the same or better than this time last year.

  • Chi square test for independence

    129489 Chi square test for independence problem Please help with the following problem.

  • Summary of attached case study

    Solution: T Test is used when we are comparing the population means of two sample and chi-square test is used when we are finding the relationship or association between two categorical variables.

  • Do contributions to a social organization depend on income and/or age?

    We can conclude that there is association between personal contribution and income level. Chi Square test of independence.

  • CHi Square test for independence .

    Answer Here Chi Square test of independence can be applied to examine whether there is association between smoking during pregnancy and education level.

  • Chi square test for association

    Use the appropriate statistical test to test your hypothesis Chi-square test for association is the most appropriate statistical test here. The test statistic used is where O is the observed frequency and E is the expected frequency.

  • How to use SPSS to calculate a chi-square

    Since the chi-square test statistic 12.747 with the P-value 0.047which is less than .05, so we may conclude there is a statistically significant association is a significant relationship or association between Race of respondent and condition of health

View More Related Solutions