Project #17273 - Biostatistics

 

Notes:

For question 1 (coronary): the lecture notes mention to calculate this by hand, when actually you can use the nonparametric test in SPSS under the following pathway ~ Analyze >> (Legacy Dialogs for more recent versions) Nonparametric Tests >> 2 Related Samples; plug in the before and after variables as 1 and 2, and the Wilcoxon Test should be your “Test Type” by default.

For question 2 (dosage): in SPSS, use the following pathway ~ Analyze >> (Legacy Dialogs for more recent versions) Nonparametric Tests >> 2 Independent Samples; place the dependent variable in the “Test Variable List” and the other into the “Grouping Variable” box; click on the button that says to “Define Groups…” and indicate the group numbers you are comparing, which in this case will be 1 and 2; lastly, the Mann-Whitney U Test should be your default “Test Type.”

For question 3 (nitrite): rather than conducting a Kruskal-Wallis test directly from the Nonparametrics menu, we ask that you rank the cases and use the ANOVA feature, and this will accomplish the same thing with the added benefit of using the post-hoc comparisons that you’ve been exposed to earlier this semester; first, rank the data as follows ~ Transform >> Rank Cases…; plug in the dependent variable (nitrite) as the variable and hit OK, then you should see a new variable column in your “Data View” as denoted by Rnitrite; second, run the ANOVA using the previously used pathway ~ Analyze >> Compare Means >> One-way ANOVA; use the newly created variable in the “Dependent List” and “Factor” by group; before pressing OK, remember to conduct a post-hoc in the event that reporting contrasts are appropriate, under the “Post Hoc” button.

For question 4 (nitrite): normality tests can be conducted through the following pathway ~ Analyze >> Descriptive Statistics >> Explore; be sure to use the original nitrite variable in the “Dependent List” and then group for the “Factor List” *DO NOT USE THE TRANSFORMED VARIABLE*; the “Display” should be for both statistics and plots; click the “plots” button and check off the box for “Normality Plots with Tests,” and hit Continue then OK; find the “Tests of Normality” table to input the appropriate values into the table on the worksheet.

 

 HOMEWORK

 

 

NOTE: Assume we are testing at α = 0.05 for all statistical tests

 

 

 

A study of the effects of physical training on post-coronary patients included measurements on maximum oxygen uptake, which was determined for each patient before training began.  After six months of bicycle exercise three times per week, each patient’s oxygen uptake was determined again.

 

[DATA: eab703_ps10_coronary]                                                                

 

 

 

Perform the appropriate nonparametric test on these data to determine if exercise tends to increase the maximum oxygen uptake in these patients

 

 

 

Ho:

 

 

 

Ha:

 

 

 

Test statistic and value:

 

 

 

p-value:

 

 

 

Statistical conclusion:

 

 

 

Written conclusion:

 

 

 

 

 

 

 

 

 

 

 

A study by Gantt examined mathematics proficiency in undergraduate nurses who were being examined to see if they could perform appropriate dosage calculations.  Test scores (out of 100) were separated into two groups.  The first group was traditional students (18-24 years) and the second group was nontraditional students (25+ years).  Owing to the disparate sample sizes, a traditional t-test analysis is not appropriate.

 

[DATA: eab703_ps10_dosage]

 

 

 

Perform the appropriate nonparametric test on these data to determine if the scores differ statistically between these two groups

 

 

 

Ho:

 

 

 

Ha:

 

 

 

Test statistic and value:

 

 

 

p-value:

 

 

 

Statistical conclusion:

 

 

 

Written conclusion:

 

 

 

 

 

 

 

 

 

 

 

Torre et al. investigated serum levels of nitrite in pediatric patients.  The data consisted of 10 healthy controls, 14 seronegativized children, and 7 HIV-1-positive children.

 

[DATA: eab703_ps10_nitrite]

 

 

 

               Use the appropriate nonparametric test to determine if the three groups differ

 

 

 

Ho:

 

 

 

Ha:

 

 

 

Test statistic and value:

 

 

 

p-value:

 

 

 

Statistical conclusion:

 

 

 

Written conclusion:

 

 

 

 

 

 

 

 

 

 

 

Determine if the data from the three groups is normally distributed using the appropriate test

 

 

 

For all three tests, the null and alternate hypotheses are:

 

              

 

Ho:

 

 

 

Ha:

 

 

 

               Complete the following table:

 

 

 

Group

Value of test statistic

p-value

Normal?

(Yes or No)

Healthy control children

 

 

 

Seronegativized children

 

 

 

HIV-1-positive children

 

 

 

 

 

 

Subject Mathematics
Due By (Pacific Time) 11/21/2013 04:00 pm
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