A publisher reports that 65% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage. A random sample of 340 found that 60% of the readers owned a laptop. State the null and alternative hypotheses. Answer

The p value for this case can be calculated with this probability:

For this case is we use a significance level of 5% we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true proportion is different from 0.65 or 65%. We need to be careful since if we use a value higher than 65 for the significance the result would change

Step-by-step explanation:

Information given

n=340 represent the random sample taken

estimated proportion of readers owned a laptop

is the value that we want to test

z would represent the statistic

Alternative hypothesis:  

The statistic is given by:

(1)  

Replacing we got:

The p value for this case can be calculated with this probability:

For this case is we use a significance level of 5% we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true proportion is different from 0.65 or 65%. We need to be careful since if we use a value higher than 65 for the significance the result would change

i need more details sorry

step-by-step explanation:

sorry i got nothing

step-by-step explanation: