Assuming that the population is normally distributed, construct a 90% confidence interval for the population m based on the following sample size of n= 7. 1, 2, 3, 4, 5, 6, and 24 O In the given data, replace the value 24 with 7 and recalculate the confidence interval. Using these results, des the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 90% confidence interval for the population mean, using the formula or technology. Osus (Round to two decimal places as needed.) In the given data, replace the value 24 with 7. Find a 90% confidence interval for the population mean, using t formula or technoklogy. Osus (Round to two decimal places as needed.) Using the results from the previous two steps, what is the effect of an outlier (that is, an extreme value) on the confidence interval, in general? O A. The presence of an outlier in the original data decreases the value of the sample mean and greatly inflates the sample standard deviation, widening the confidence interval. O B. The presence of an outlier in the original data increases the value of the sample mean and greatly decreases the sample standard deviation, narrowing the confidence interval. O C. The presence of an outlier in the original data increases the value of the sample mean and greatly inflates the sample standard deviation, widening the confidence interval. O D. The presence of an outlier in the original data decreases the value of the sample mean and greatly decreases the sample standard deviation, narrowing the confidence interval.
Assuming that the population is normally distributed, construct a 90% confidence interval for the population m based on the following sample size of n= 7. 1, 2, 3, 4, 5, 6, and 24 O In the given data, replace the value 24 with 7 and recalculate the confidence interval. Using these results, des the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 90% confidence interval for the population mean, using the formula or technology. Osus (Round to two decimal places as needed.) In the given data, replace the value 24 with 7. Find a 90% confidence interval for the population mean, using t formula or technoklogy. Osus (Round to two decimal places as needed.) Using the results from the previous two steps, what is the effect of an outlier (that is, an extreme value) on the confidence interval, in general? O A. The presence of an outlier in the original data decreases the value of the sample mean and greatly inflates the sample standard deviation, widening the confidence interval. O B. The presence of an outlier in the original data increases the value of the sample mean and greatly decreases the sample standard deviation, narrowing the confidence interval. O C. The presence of an outlier in the original data increases the value of the sample mean and greatly inflates the sample standard deviation, widening the confidence interval. O D. The presence of an outlier in the original data decreases the value of the sample mean and greatly decreases the sample standard deviation, narrowing the confidence interval.
Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
Problem 1.1MA
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Transcribed Image Text:Assuming that the population is normally distributed, construct a 90% confidence interval for the population mean,
based on the following sample size of n= 7.
1, 2, 3, 4, 5, 6, and 24 O
In the given data, replace the value 24 with 7 and recalculate the confidence interval. Using these results, describe
the effect of an outlier (that is, an extreme value) on the confidence interval, in general.
Find a 90% confidence interval for the population mean, using the formula or technology.
sus (Round to two decimal places as needed.)
In the given data, replace the value 24 with 7. Find a 90% confidence interval for the population mean, using the
formula or technology.
Osps(Round to two decimal places as needed.)
Using the results from the previous two steps, what is the effect of an outlier (that is, an extreme value) on the
confidence interval, in general?
O A. The presence of an outlier in the original data decreases the value of the sample mean and greatly
inflates the sample standard deviation, widening the confidence interval.
O B. The presence of an outlier in the original data increases the value of the sample mean and greatly
decreases the sample standard deviation, narrowing the confidence interval.
O C. The presence of an outlier in the original data increases the value of the sample mean and greatly
inflates the sample standard deviation, widening the confidence interval.
O D. The presence of an outlier in the original data decreases the value of the sample mean and greatly
decreases the sample standard deviation, narrowing the confidence interval.
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