HLST 2300 Health Stats

Other reminders that you should take care to ensure while completing your assignment:

?Questions involving a data file must be answered using SPSS

?HLST 2300 rounding rules apply unless otherwise stated

?Screenshots of hand-written work and SPSS must be of high resolution and be pasted upright (not sideways) so that they can be easily read and graded

?Answers to questions must directly follow the question asked – do not change the order of the questions

?If you fail to include the SPSS output instructed of you, you will receive zero for any subsequent questions that rely on that output 

1.The National Public Health Agency reports that the mean systolic blood pressure for females 30 to 45 years of age is 130 and the standard deviation in this population is 15.  The medical director of a large institution looks at the medical records of 35 female employees in this age group and finds that the mean systolic blood pressure in this sample is 125.91.  Use a 10% level of significance.  

a.Use the 5-step approach in hypothesis testing to determine whether there is statistical evidence that the institution’s female employees have a different mean blood pressure from the general population.  Show your work.

b.Calculate the associated p-value.  Show your work.

2.For each scenario a) through c) in the below table, calculate the associated p-value and decide whether we can Reject H0 or Fail to Reject H0.  Be explicit with the probability statement when showing your work for the p-value and stating the decision rule for each scenario.

Scenario Test Statistic Significance level One or Two-Tailed Test

a) z = -2.71 = 0.07 Two-tailed

b) z = 2.02 = 0.03 One-tailed (lower)

c) z = 3.39 = 0.09 One-tailed (upper)

3.A researcher has collected data for 142 patients discharged from the Cardiology inpatient unit of Hospital XYZ in Fall 2015 (Excel file: 2300FTassignment5.xls).  The data includes the patient unique identifier, age (years), sex (female = 1; male = 2), admission date/time, discharge date/time and resource intensity weight (RIW). 

a.Create a new variable called ‘LOSdays_retainfrac’ that is the length of stay in days with the fractional part retained (LOSdays_retainfrac = discharge date/time – admission date/time). Generate a descriptive table for ‘LOSdays_retainfrac’ that includes the mean, standard deviation, median and quartiles.  Copy and paste the generated SPSS output table. 

b.Create a new variable called ‘Discharge_hour’ that extracts the hour that the patient was discharged. Generate a frequency table of Discharge_hour.  Copy and paste the generated SPSS output table. 

c.Conduct a Missing Values Analysis with EM estimation for the variables age and RIW.  Are values missing completely at random? Justify your answer by copying and pasting the appropriate SPSS output table to support your answer. 

4.A random sample of 75 senior citizens found a mean daily caloric intake of 1765 calories with a sample standard deviation of 155.  Construct a 95 percent confidence interval for the population mean.

5.In a sample of 25 students, we computed the mean and sample standard deviation of test scores,  = 74.50 and s = 4.18, respectively. Calculate the 90% confidence interval for the population mean.