To analyze the data regarding the monthly rent for a one-bedroom apartment in Manhattan, we can perform a few statistical calculations using the given information about mean, standard deviation, and sample size. Here’s how you can do this step-by-step on a TI-84 Plus calculator:
Given Data:
- Mean rent (\( \mu \)) = 2557
- Standard deviation (\( \sigma \)) = 486
- Sample size (\( n \)) = 86
Calculating the Standard Error of the Mean (SEM)
The standard error of the mean (SEM) is calculated using the formula:
\[ SEM = \frac{\sigma}{\sqrt{n}} = \frac{486}{\sqrt{86}} \]
- Turn on the calculator.
- Calculate \( \sqrt{86} \):
- Press
√
(the square root key), then86
, and hitENTER
. - This will give you approximately 9.273.
- Press
- Divide the standard deviation by the square root of the sample size:
- Now perform the division:
486 ÷ 9.273
and hitENTER
. - This will give you the Standard Error of the Mean (SEM).
- Now perform the division:
Finding the Confidence Interval
If you’d like to find a confidence interval or perform hypothesis testing, you can follow these additional steps:
Example: 95% Confidence Interval
-
Find the critical value (z-value) for a 95% confidence level:
- For a 95% confidence level, you can use a z-table or a calculator. The z-value is approximately 1.96.
-
Calculate the margin of error (ME): \[ ME = z \times SEM \]
- Enter
1.96 * (result from SEM calculation)
and hitENTER
.
- Enter
-
Calculate the confidence interval:
- Lower limit: \( \mu - ME \)
- Enter
2557 - (result from ME)
and hitENTER
for the lower limit.
- Enter
- Upper limit: \( \mu + ME \)
- Enter
2557 + (result from ME)
and hitENTER
for the upper limit.
- Enter
- Lower limit: \( \mu - ME \)
Summary of Results
After completing these calculations, you will have:
- The Standard Error of the Mean (SEM)
- The Margin of Error (ME)
- The 95% Confidence Interval for the mean rent.
Feel free to perform these calculations and let me know if you need help with specific steps, or if you'd like to calculate a different confidence level or perform other analyses!