The accompanying data table shows the number of touchdown passes thrown by a quarterback during 40 games. Using x=0.05,

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The accompanying data table shows the number of touchdown passes thrown by a quarterback during 40 games. Using x=0.05,

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The Accompanying Data Table Shows The Number Of Touchdown Passes Thrown By A Quarterback During 40 Games Using X 0 05 1
The Accompanying Data Table Shows The Number Of Touchdown Passes Thrown By A Quarterback During 40 Games Using X 0 05 1 (32.86 KiB) Viewed 24 times
The Accompanying Data Table Shows The Number Of Touchdown Passes Thrown By A Quarterback During 40 Games Using X 0 05 2
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The Accompanying Data Table Shows The Number Of Touchdown Passes Thrown By A Quarterback During 40 Games Using X 0 05 3
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The Accompanying Data Table Shows The Number Of Touchdown Passes Thrown By A Quarterback During 40 Games Using X 0 05 4
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The accompanying data table shows the number of touchdown passes thrown by a quarterback during 40 games. Using x=0.05, perform a chi-square test to determine if the number of touchdown passes thrown per game follows the Poisson probability distribution when A=1.7. Click the icon to view the data table. State the appropriate null and alternative hypotheses. What is the null hypothesis? OA. Ho: The number of touchdown passes thrown per game by the quarterback does not follow the Poisson probability distribution with λ=1.7. OB. Ho: The number of touchdown passes thrown per game by the quarterback follows the Poisson probability distribution with 21.7. OC. Ho: The number of touchdown passes thrown per game by the quarterback does not follow a normal distribution. OD. Ho: The number of touchdown passes thrown per game by the quarterback follows a uniform distribution.

= 1.7. Touchdown passes for 40 games 0 3 2 2 2 1 0 1 2 0 0 3 Touchdown passes 3 2 0 2 3 2 1 3 2 3 Print 1 1 2 2 1 2 Done 1 4 0 3 1 2 3 3 1 2 3 2 - X

state the null and alternative hypotheses. determine the test statistic X^2 determine expected frequencies. calculate the test statistic X^2 find the p value state the appropriate conclusion
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