MATH 2311 Section 8.5.

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Presentation transcript:

MATH 2311 Section 8.5

Goodness of Fit Test

For each problem you will make a table with the following headings:

Degrees of Freedom (chi-squared test): [number of categories] – 1

Example: Degrees of Freedom: 4 categories, so we have 3 degrees of freedom

R Studio Only (No Table) Highlighted lines are the minimum amount you need to do to get an answer.

Chi-Squared in the Calculator All steps up until the p-value calculation can be done manually or by using the lists in STAT, Edit.

Another Example: Popper 31 If the die were fair, all categories would be equal counts. So: exp = n/[number of categories] Another Example: Popper 31 Suppose you rolled a die 60 times and observed 14 ones, 8 twos, 7 threes, 16 fours, 7 fives, and 8 sixes. Is this a fair die? Test the claim at the 5% significance level. 1. What is the (O-E)2/E value for rolling a 1? a. 14 b. 10 c. 1.6 d. 5 2. What is the (O-E)2/E value for rolling a 6? a. 8 b. 0.4 c. 10 d. 6 3. What is the test statistic? a. 7.8 b. 6 c. 5 d. 3.6 4. What is the chi-squared p-value? a. 0.5454 b. 0.1676 c. 0.2318 d. 0.9832 5. What is the conclusion? a. Reject the Null Hypothesis (Die is not fair) b. Do Not Reject the Null Hypothesis (Die is fair)