Apublisher reports that 79% of their readers own a laptop. a marketing executive wants to test the claim that the percentage is actually more than the reported percentage. a random sample of 350 found that 82% of the readers owned a laptop. is there sufficient evidence at the 0.01 level to support the executive's claim?

There is sufficient evidence at the 0.01 level to support the executive's claim

Step-by-step explanation:

Given that a publisher reports that 79% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is actually more than the reported percentage

Sample size n =350

Sample proportion P =0.82

(right tailed test at 1% level of significance for proportions)

Assuming H0 to be true i.e. p = 0.79, std error of sample proporiton

=

p difference =

test statistic Z=p diff/std error

=1.1646

p value = 0.1221

Since p value >0.01, our significant value, we fail to reject H0

There is sufficient evidence at the 0.01 level to support the executive's claim

inverse property is the answer

step-by-step explanation:

hello, never fear papaguy is here!

c. histogram

step-by-step explanation: