Questions: Mary ∨
Homework ?
Question 11 of 15 (1 point) Question Attempt: 1 of 10
Part 2 of 3
Espanat
(b) Find the 90% confidence interval of the population mean.
36.76 < μ < 62.77
Part: 2 / 3
Part 3 of 3
(c) There is something unusual about the data. Describe it and state how it would affect the confidence interval.
Choose the correct answer.
There is an outlier in the data. This will affect the sample mean, and therefore the confidence interval, making it less likely to contain the population mean.
There is an outlier in the data. This will not affect the sample mean, and therefore will not affect the confidence interval.
There is no mode. This will make the confidence interval less likely to contain the population mean.
The data is bimodal. This will make the confidence interval less likely to contain the population mean.
Transcript text: Mary $\vee$
Homework ?
Question 11 of 15 (1 point) । Question Attempt: 1 of 10
Part 2 of 3
Espanat
(b) Find the $90 \%$ confidence interval of the population mean.
$36.76<\mu<62.77$
Part: $2 / 3$
Part 3 of 3
(c) There is something unusual about the data. Describe it and state how it would affect the confidence interval.
Choose the correct answer.
There is an outlier in the data. This will affect the sample mean, and therefore the confidence interval, making it less likely to contain the population mean.
There is an outlier in the data. This will not affect the sample mean, and therefore will not affect the confidence interval.
There is no mode. This will make the confidence interval less likely to contain the population mean.
The data is bimodal. This will make the confidence interval less likely to contain the population mean.
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Solution
Solution Steps
Step 1: Calculate the Mean
The mean \( \mu \) of the data is calculated as follows:
There is an outlier in the data. This will affect the sample mean, and therefore the confidence interval, making it less likely to contain the population mean.
Final Answer
The calculated confidence interval is \((46.77, 52.77)\) and the description of the unusual data is that there is an outlier affecting the sample mean.