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Question 15 Type numbers in the boxes. 10 points Find the p-value for the hypothesis test. A random sample of size 50 is take
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Question 15

Ha : \mu < 400

Left tailed test.

Given,

Hypothesized mean : \mu _{o} = 400

Sample mean : \overline{} \overline{x} = 375

Sample size: n= 50

Sample standard deviation : s=81

-25 T-Mo Test Statistic : tstat = – s/n (375 – 400) 81/50 11.4551 = -2.1824

For left tailed test:

p-Value = P(t <tstat) = P(t < -2.1824)

Degrees of freedom =n-1 = 50-1=49

For 49 degrees of freedom, P(t<-2.1824) = 0.017

p-Value = P(t <tstat) = P(t < -2.1824) = 0.017

p-value for this hypothesis test = 0.017

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Question 16

\mu : Mean weight increase in the second trimester

Null hypothesis : Ho : \mu = 14

To test if there is evidence that weight increase in the second trimester is greater than 14 pounds

Alternative Hypothesis : Ha : \mu > 14

Right tailed test.

Given,

Number of expectant mothers in the random sample : Sample size: n = 42

Mean weight increase in the second trimester : sample mean : \overline{x} = 15.7

Sample standard deviation :s = 6.0

Hypothesized mean : \mu _{o} = 14

T-HO Test Statistic : tstat = = s/n (15.7 - 14) 6/42 1.7 0.9258 = 1.8362

For right tailed test:

p-Value = P(t > tstat) = P(t > 1.8362)

degrees of freedom = n-1 =42-1=41

For 41 degrees of freedom , P(t>1.8362) = 0.0368

p-Value = P(t > tstat) = P(t > 1.8362) = 0.0368

p-value for the hypothesis test : 0.0368

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