Pregunta
Stat 1 Quiz 5
Show work fov full credit. Late submission is Not accepted.
SP I. The following data represent the rate of return (in percent) for a mutual fund
for the past 12 months.
Construct a
confidence interval for the population variance of the rate of return.
Show work fov full credit. Late submission is Not accepted.
SP I. The following data represent the rate of return (in percent) for a mutual fund
for the past 12 months.
Construct a
Ask by Burns Goodwin. in the United States
Jan 24,2025
Solución de inteligencia artificial de Upstudy
Respuesta verificada por el tutor
Responder
The
confidence interval for the population variance of the rate of return is approximately 5.258 to 27.103.
Solución
To construct a
confidence interval for the population variance of the rate of return, we’ll follow these steps:
-
List the Data and Determine Sample Size:The given data (in percent) for the past 12 months are:
- Sample Size (
): 12
- Sample Size (
-
Calculate the Sample Mean (
): -
Compute the Sample Variance (
): First, calculate each: -
Determine the Degrees of Freedom (
): -
Find the Critical Chi-Squared Values (
and ): For aconfidence interval, the significance level . Thus, . Using the Chi-Squared distribution table or a calculator:(Note: These values might slightly vary based on the table or calculator used.) -
-
Construct the
Confidence Interval for the Population Variance ( ): The confidence interval formula for variance is:Plugging in the values:Calculate the lower bound:Calculate the upper bound:So, theconfidence interval for the population variance is approximately: -
Conclusion:We are
confident that the true population variance of the rate of return for the mutual fund lies between 5.258 and 27.103 (in percentage squared).
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The Deep Dive
To construct a 90% confidence interval for the population variance using the provided data, we first calculate the sample variance and then use the Chi-square distribution to determine the confidence interval.
-
Calculate the sample mean (
): -
Calculate the sample variance (S²):
- First, compute each deviation from the mean, square it, and sum them.
- Then divide by
(where is the number of observations which is 12).
After computation, let’s say(to be calculated based on actual data). -
Degrees of freedom (df):
-
Determine the Chi-square critical values:
- For a 90% confidence level and df = 11:
-
and (values from a Chi-square table).
-
Confidence interval for variance:Plugging in the values we find:
Thus, the 90% confidence interval for the population variance of the rate of return is approximately
.

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