Homework 2 : In this homework, you are required to use SPSS to conduct the statistical analysis. The data


Homework 2 : In this homework, you are required to use SPSS to conduct the statistical analysis. The data file is provided. You need to summarize your analysis results in your report. Detailed instruction about your report is provided at the end of this page. You also need to attach your SPSS output to your report.

I strongly suggest you get yourself familiar with each data file by carefully reading the variable view page in SPSS before conducting any analysis.

  1. Research 1: Using the Electric.sav data file to do the following:
    1. Make a histogram of variable serum cholesterol ( chol58 ). What should you look for in the histogram?
    2. Test the hypothesis that men with coronary heart disease (variable chd equals 1) have an average level of serum cholesterol of 205 mg/dl. What do you conclude about the null hypothesis based on your analysis results?
      SPSS instruction: To select the men with coronary heart disease, do the following: Go to:
      Data
      Select Cases
      Choose if condition is stultified

Click If
Move chd to the left side box
Type in = 1 (It means only those observations who have coronary heart disease chd=1 will be selected for the analysis)
Continue
OK
  • Research 2: Use the country .sav data file to answer the following question:
  • Determine if the infant mortality rate ( infmr ) for developing countries is the same as the developed countries ( develop ).

    SPSS instruction: To conduct two sample independent t-test, do the following: Go to:

    Analyze

    Compare Means

    Independent-Sample T Test

    In the Independent-Samples T Test dialog box:

    • Select the variable whose mean you want to test ( infmr ) and move it into the Test Variable(s) box.
    • Select the variable whose values define the two groups ( develop ) and move it into the Groping Variable box.
    • Click Define Groups and indicate how the groups are defined. For example, type in 1 in Group 1 box to indicate developing countries and 0 in Group 2 box to indicate developed countries.
    • Click OK.
    1. Research 3: Use the renal.sav data file to answer the following questions:

    For patients who developed acute renal failure (variable type equals 1), determine if there was a statistically significant change in average BUN and creatinine at admission (variables admbun and admcreat ) and average BUN and creatinine at discharge (variable finbun and fincreat ).

    SPSS instruction: To conduct the paired t test, do the following:

    Analyze

    Compare Means

    Paired-Sample T Test

    In the Paired-Sample T test dialog box:

    • Click on each of the two variables whose means you want to compare. Make sure that their names appear in the Current Selections group, and then click the arrow button to move them into the Paired Variables box. You can select all pairs of variables you want to compare.
    1. Click OK

    Remember you need to select patients who developed acute renal failure first before performing the t test.

    Report

    Your report should include a brief instruction about what each case (research) is about and the following:

    1. What are your null and alternative hypotheses?
    2. What do you conclude about the null hypothesis based on your analysis results?
    1. For Case 1, what is the difference between your sample mean and the hypothetical population mean value? How often would you expect to see a sample difference at least this large in absolute value if the null hypothesis is true?
    2. Summarize the major dealings with each case.
    3. Your report should typed, double-spaced, and with a professional look. It should not exceed 3 pages.
    Price: $8.3
    Solution: The downloadable solution consists of 5 pages, 330 words and 9 charts.
    Deliverable: Word Document


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