What % of hospitals provide at least some charity care? Thefollowing problem is
ID: 2913588 • Letter: W
Question
What % of hospitals provide at least some charity care? Thefollowing problem is based on information taken from state healthcare data: Utilizationi , spending, and characteristics (AmericanMedical Association) Based on a random sample of hospital reportsfrom eastern states, the following information was obtained (unitsin % of hospitals providing at least some charity care: 57.1 56.2 53.0 66.1 59.0 64.7 70.1 64.7 53.5 78.2 _ Use a calculator with mean and sample stardard deviation keysto verify that x ˜ 62.3% and s ˜ 8.0%. Find a 90%confidence interval for the population average of thepercentage of hospitals providing at least some charity care. What % of hospitals provide at least some charity care? Thefollowing problem is based on information taken from state healthcare data: Utilizationi , spending, and characteristics (AmericanMedical Association) Based on a random sample of hospital reportsfrom eastern states, the following information was obtained (unitsin % of hospitals providing at least some charity care: 57.1 56.2 53.0 66.1 59.0 64.7 70.1 64.7 53.5 78.2 _ Use a calculator with mean and sample stardard deviation keysto verify that x ˜ 62.3% and s ˜ 8.0%. Find a 90%confidence interval for the population average of thepercentage of hospitals providing at least some charity care.Explanation / Answer
Based on arandom sample of hospital reports from eastern states, thefollowingdata was obtained (units in %) of hospitals providing at least somecharity care: 57.1 56.2 53.0 66.1 59.0 64.7 70.1 64.7 53.5 78.2
a. Use a calculator with mean and samplestandard deviation keys to verify from
above data that sample mean X_bar ˜ 62.3% and sample standarddeviation s ˜8.0%.
{Sample Mean} = (X_bar) = 62.26
{Sample Standard Deviation} = s = 8.018
b. Find a 90% confidence interval for thepopulation average of the percentage
of hospitals providing at least some charitycare.
{Sample Mean} = (X_bar) = 62.26
{Sample Standard Deviation} = s = 8.018
{Sample Size} = N = 10
{Degrees Of Freedom} = df = N - 1 = (10) - 1 = 9
{"t" Value For 90% Confidence Interval,df=9} = (t_90) = 1.833
{90%Confidence Interval For Population Mean""} =
= { (X_bar) -(t_90)*s/Sqrt[N] < < (X_bar) + (t_90)*s/Sqrt[N] }
= {(62.26) -(1.833)*(8.018)/Sqrt[10] < < (62.26) +(1.833)*(8.018)/Sqrt[10] }
= { (57.61) < < (66.91)}
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