Apublisher reports that 42% of their readers own a particular make of car. a marketing executive wants to test the claim that the percentage is actually different from the reported percentage. a random sample of 370 found that 38% of the readers owned a particular make of car. make the decision to reject or fail to reject the null hypothesis at the 0.02 level.

Type I and type II errors

Step-by-step explanation:

We perform our error parameter defining that our null hypothesis H0 is determined for all that percentage that is not 42%, while the null hypothesis H1 is determined by the values that are 42%, that is

H0: p is not 42% vs H1: p = 42%

We proceed to obtain the standard deviation with the data we have and perform the calculation of error by proportions,

The standard deviation is:

Where p is our proportion,

Z -score is

where P is the Random Sample,

(p-P)/σ =

CONCLUSION:

There is statistical evidence that the proportions are different. H0 is accepted.

step-by-step explanation:

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