Historically it has been observed that patients admitted to a certain hospital for treatment of influenza spend a MEAN length of 4.4 days in the hospital. Every flu season, different strains of the flu circulate: Some years the primary strain causes more severe illness (and presumably longer than average hospital stays) and other years less so (meaning presumably shorter than average stays). We assume the hospital stays are NORMALLY distributed. a. A hospital wants to see how this year's flu season compares to previous years. Therefore, state the null and alternate hypotheses that would be used to test whether the hospital is seeing a mean hospital stay that is significantly DIFFERENT than the historical mean of 4.4 days. b. FIFTEEN patients admitted for influenza treatment are then randomly sampled and the length of their hospital stay in days is given below. 4641056443743774 SAMPLE MEAN =? SAMPLE STANDARD DEVIATION =? c. Using the results of part (b), determine what type of test is suitable, and then find the p-value of the appropriate hypothesis test. Type of Test is:? p-value=? Use part b to construct a 95% CONFIDENCE INTERVAL for the MEAN number of days patients hospitalized for flu treatment spend in the hospital. ( KEEP 3 DECIMALS please). lower limit=? , upper limit=? Using part (c), decide whether or not to reject the null hypothesis at the 5% significance level. Your conclusion at 5% significance level is:? What TYPE OF ERROR is possible with your final decision about the null hypothesis in part above?

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Historically it has been observed that patients admitted to a certain hospital for treatment of influenza spend a MEAN length of 4.4 days in the hospital. Every flu season, different strains of the flu circulate: Some years the primary strain causes more severe illness (and presumably longer than average hospital stays) and other years less so (meaning presumably shorter than average stays). We assume the hospital stays are NORMALLY distributed.

a. A hospital wants to see how this year's flu season compares to previous years. Therefore, state the null and alternate hypotheses that would be used to test whether the hospital is seeing a mean hospital stay that is significantly DIFFERENT than the historical mean of 4.4 days.

b. FIFTEEN patients admitted for influenza treatment are then randomly sampled and the length of their hospital stay in days is given below.

4641056443743774

SAMPLE MEAN =?

SAMPLE STANDARD DEVIATION =?

c. Using the results of part (b), determine what type of test is suitable, and then find the p-value of the appropriate hypothesis test.

Type of Test is:?

p-value=?

Use part b to construct a 95% CONFIDENCE INTERVAL for the MEAN number of days patients hospitalized for flu treatment spend in the hospital. ( KEEP 3 DECIMALS please).

lower limit=? , upper limit=?

Using part (c), decide whether or not to reject the null hypothesis at the 5% significance level.

Your conclusion at 5% significance level is:?

What TYPE OF ERROR is possible with your final decision about the null hypothesis in part above?

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