Consider testing the hypothesis H0: mu= 800 vs. H1: mu not identical to800. If the value of the test statistic z equals 1.75, then the p-value is

0.0802

Step-by-step explanation:

Calculation for the p-value

Based on the information given this is a two tailed test

Hence,

p(z< -1.75)= 0.0401

p(z> 1.75) = 0.0401

Now let calculate the p-value

p-value=2* 0.0401

p-value= 0.0802

Therefore If the value of the test statistic z equals 1.75 the p-value will be 0.0802

c > -10.55

step-by-step explanation:

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step-by-step explanation: