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