For a class project, a student in a statistics class surveys the monthly rent for 32 unfurnished one-bedroom apartments in Boston and finds the mean monthly rent to be $1400 with a standard deviation of $220. Find the margin of error for the sample mean. (assuming 95% confidence) Round to the nearest hundredth
Confidence Interval Margin of Error

Quiz
•
Mathematics
•
11th Grade
•
Hard
Anthony Clark
FREE Resource
20 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
$77.78
$4.31
$188.78
$494.97
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which z-value is used for a 95% confidence interval?
1.65
1.96
2.58
2.33
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which z-value is used for a 90% confidence interval?
1.645
1.96
2.58
2.33
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following equation is the correct one for finding the confidence interval?
a
b
c
d
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A sample size of n = 64 is drawn from a population whose standard deviation is σ = 5.6.
Find the margin of error for a 99% confidence interval for µ.
1.799
1.798
1.803
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The National Honor Society at Central High School plans to sample a random group of 100 seniors from all high schools in the state to determine the average number of hours per week spent on homework. A 95 percent confidence interval for the mean number of hours spent on homework will then be constructed using the sample data. Before selecting the sample, the National Honor Society decides that it wants to decrease the margin of error. Which of the following is the best way to decrease the margin of error?
Increase the confidence level to 99%
Use the population standard deviation
Use the sample standard deviation
Decrease the sample size
Increase the sample size
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
How do you calculate the margin of error for a 95% confidence interval?
Multiply the standard deviation by 1.96 and divide by the square root of the sample size.
Divide the standard deviation by 1.96 and multiply by the square root of the sample size.
Multiply the standard deviation by the square root of the sample size.
Divide the standard deviation by the square root of the sample size.
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