{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Two_ChiSquares_07

# Two_ChiSquares_07 - Chi2 statistical test statistical It is...

This preview shows pages 1–5. Sign up to view the full content.

It is used to analyze data recorded on a nominal scale (i.e., frequency counts inside separate categories) E.g., Frequency count of male and female students that buy Pepsi or Coke to test if there is a gender difference in soft drink preferences there are two forms of Chi 2 test: (1) Goodness of fit test (2) Independence test Chi Chi 2 2 statistical test statistical test

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Assumptions for Chi-square tests: Assumptions for Chi-square tests: all observations are independent (i.e., one frequency count per subject) expected frequency for any category is not less than 5
Chi-Square: Goodness of fit ( Chi-Square: Goodness of fit ( one one variable variable ) ) It compares a distribution of frequencies that were obtained from a sample to the distribution in a population as specified by the null hypothesis. Example: A researcher would like to explore what types of computers are preferred by students – PC or Mac. 100 high school students were interviewed and the results showed that 40 students prefer Mac and 60 students prefer PC. Does the results indicate a significant preference of PC computers among high school students?

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Formulate null hypothesis To explore computer preferences among students - PC or Mac – the null hypothesis predicts no difference in preferences = 50 % of students will prefer Mac and 50% of students will prefer PC ( this is a % base for your expected frequencies ) f e = % * n/100 f e = expected frequencies
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 18

Two_ChiSquares_07 - Chi2 statistical test statistical It is...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online