A hypothesis testing situation is given. The population standard deviation, sample size, and significance level are given.Complete the table to give the probability of a Type II error and the power for each of the given values of µ. Use the table to draw the power curve.
-In 1990, the average math SAT score for students at one school was 472. Five years later, a teacher wants to perform a hypothesis test to determine whether the average SAT score of students at the school has changed from the 1990 mean of 472. Preliminary data analyses indicate that it is reasonable to apply a z-test. The hypotheses are $$\begin{array} { l } \mathrm { H } _ { 0 } : \mu = 472 \ \mathrm { H } _ { \mathrm { a } } : \mu \neq 472 . \end{array}$$ Assume that $\sigma = 74 , \mathrm { n } = 54$, and the significance level is $0.01$. Find the probability of a Type II error and the power for $\mu = 424,430,440,450,460,470,474,484,494,504,514,520$. 430 440 450 460 470 474 484 494 504 514 520

Question

A hypothesis testing situation is given. The population standard deviation, sample size, and significance level are given.Complete the table to give the probability of a Type II error and the power for each of the given values of µ. Use the table to draw the power curve.
-In 1990, the average math SAT score for students at one school was 472. Five years later, a teacher wants to perform a hypothesis test to determine whether the average SAT score of students at the school has changed from the 1990 mean of 472. Preliminary data analyses indicate that it is reasonable to apply a z-test. The hypotheses are $$\begin{array} { l }  \mathrm { H } _ { 0 } : \mu = 472 \ \mathrm { H } _ { \mathrm { a } } : \mu \neq 472 . \end{array}$$ Assume that $\sigma = 74 , \mathrm { n } = 54$, and the significance level is $0.01$. Find the probability of a Type II error and the power for $\mu = 424,430,440,450,460,470,474,484,494,504,514,520$.   430 440 450 460 470 474 484 494 504 514 520

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The Answer of A hypothesis testing situation is given. The population standard deviation, sample size, and significance level are given.Complete the table to give the probability of a Type II error and the power for each of the given values of µ. Use the table to draw the power curve.
-In 1990, the average math SAT score for students at one school was 472. Five years later, a teacher wants to perform a hypothesis test to determine whether the average SAT score of students at the school has changed from the 1990 mean of 472. Preliminary data analyses indicate that it is reasonable to apply a z-test. The hypotheses are $$\begin{array} { l }  \mathrm { H } _ { 0 } : \mu = 472 \ \mathrm { H } _ { \mathrm { a } } : \mu \neq 472 . \end{array}$$ Assume that $\sigma = 74 , \mathrm { n } = 54$, and the significance level is $0.01$. Find the probability of a Type II error and the power for $\mu = 424,430,440,450,460,470,474,484,494,504,514,520$.   430 440 450 460 470 474 484 494 504 514 520

A Hypothesis Testing Situation Is Given H0:μ=472Ha:μ≠472.\begin{array} { l } \mathrm { H } _ { 0 } : \mu = 472 \\ \mathrm { H } _ { \mathrm { a } } : \mu \neq 472 . \end{array}H0​:μ=472Ha​:μ=472.​

A Hypothesis Testing Situation Is Given $\begin{array} { l } \mathrm { H } _ { 0 } : \mu = 472 \\ \mathrm { H } _ { \mathrm { a } } : \mu \neq 472 . \end{array}$