STATISTICS PROJECT

1. One Sample t-test
    Using "Length of Stay" as the test variable, conduct a hypothesis test on whether the average length of stay is 14 days
    Copy and paste the output in a Word processor in RTF format
    State the hypothesis to be tested.
    State the reject / not reject decision and conclusion.
2. Independent Samples t-test
    Choose any scale variable and any nominal variable with two levels from the RENAL.sav file (e.g., "Gender", "Diabetes", "Alive", "Bypass", etc.).
    Conduct an Independent Samples t-test on the scale variable with the nominal variable as a grouping variable
    Copy and paste the output in a Word processor in RTF format
    State the hypothesis to be tested
    Test for the equality of variances
    State the reject / not reject decision and conclusion
3. One-Way ANOVA

 Create a new variable AGE3 in which ages from 0-59 are recoded as 1, ages 60-69 are recoded as 2, and ages 70 and older are recoded as 3.

 Choose any scale variable from the RENAL.sav file.

 Conduct a One-Way ANOVA on the scale variable with AGE3 as a factor

 Use the Bonferroni Post Hoc test as appropriate

 Copy and paste the output in a Word processor in RTF format

 State the hypothesis to be tested

 State the reject / not reject decision and conclusion

Price: $9.86

Solution: The downloadable solution consists of 5 pages, 486 words and 6 charts.
Deliverable: Word Document