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The confidence interval at a 90% confidence level is (60.9%,75.1%) if in the end of a semester, she loaned 115 highlighters and found that 68% were not returned option (A) is correct.
<h3>What is the margin of error(MOE)?</h3>It is defined as an error that gives an idea about the percentage of errors that exist in the real statistical data.
The formula for finding the MOE:
Where Z is the z-score at the confidence interval
p is the population proportion
n is the number of samples.
We have p = 68% = 0.68
n = 115
Z score for 90% confidence interval = 1.64
MOE = 0.071
So the confidence interval will be:
= (0.68-0.071, 0.68+0.071)
= (0.609, 0.751) or
= (60.9%, 75.1%)
Thus, the confidence interval at a 90% confidence level is (60.9%,75.1%) if in the end of a semester, she loaned 115 highlighters and found that 68% were not returned option (A) is correct.
Learn more about the Margin of error here:
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Answer:
A.
Step-by-step explanation:
From the given information.
The proportion of American Millennials still with their parents = 0.36
The sample size = 300
Sample proportion = 0.43
Level of significance = 0.006
P-value = 0.006
Null hypothesis:
The required task is to determine the assumption about the sample that underlies the hypothesis test from the given options.
A.
This is because the student wants to check if the null hypothesis ( which states that of Millennial students at their campus, 36% live at home with their parents) is correct or not.
If the first increase was 50%, that means that the price between the first and the second increase is 150% of the original. And as you need 6 (which is 4*150%) times the original, the price was increased for 450%. So, the last peecent increase is
