We want to do a Goodness of Fit Chi-Squared hypothesis test (a = 0.05) for the daim that all 6 outcomes of rolling one die are equally likely. We roll a specific die 87 times and get the results below. Enter the expected value for each possible outcome the table. Round these expected values to three decimal places. Observed Frequency (counts) Expected Frequency (counts) 1 12 2 14 3 21 4 15 5 10 6 15
We want to do a Goodness of Fit Chi-Squared hypothesis test (a = 0.05) for the daim that all 6 outcomes of rolling one die are equally likely. We roll a specific die 87 times and get the results below. Enter the expected value for each possible outcome the table. Round these expected values to three decimal places. Observed Frequency (counts) Expected Frequency (counts) 1 12 2 14 3 21 4 15 5 10 6 15
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
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
Transcribed Image Text:We want to do a Goodness of Fit Chi-Squared hypothesis test (a = 0.05) for the daim that all 6 outcomes of
rolling one die are equally likely.
We roll a specific die 87 times and get the results below.
Enter the expected value for each possible outcome the table. Round these expected values to three
decimal places.
Observed
Frequency
(counts)
Expected Frequency
(counts)
1
12
2
14
3
21
4
15
5
10
6
15
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