Question

In: Statistics and Probability

Instructions You are responsible for analyzing the results of a study comparing two ulcer therapies involving...

Instructions You are responsible for analyzing the results of a study comparing two ulcer therapies involving 43 participants. Here is the data output from a t-test analysis:

The study compares two ulcer therapies (A and B) with three variables: time of last visit in months, age in years and duration of disease. Write a persuasive report type essay.

Describe the statistical test and the reason for using it. Briefly describe the summary statistics of the participants. What conclusions can you draw and what recommendations could you provide based on this information?

* my professor said there are three t test analyses, how can I obtain the t values or draw a conclusion from the data provided on SPSS?

Group Statistics

Treatment Group

N

Mean

Std Deviation

Std Error Mean

Time of last

A

19

9.74

3.557

.816

visit in months

B

24

10.96

2.216

.452

Age in

A

19

50.74

16.993

3.898

Years

B

24

51.17

16.325

3.332

Duration of

A

19

1.32

.478

.110

Disease

B

24

1.25

.442

.090

Solutions

Expert Solution

The statistical test is the Independent Samples t-test for two means.

For the first t-test for Time of last visit in months:

A B
9.74 10.96 mean
3.557 2.216 std. dev.
19 24 n
41 df
-1.22000 difference (A - B)
8.30940 pooled variance
2.88260 pooled std. dev.
0.88519 standard error of difference
0 hypothesized difference
-1.378 t
.1756 p-value (two-tailed)

Therefore, we can conclude that there is no significant difference between the means of A and B for the Time of last visit in months.

For the second t-test for Age in Years:

A B
50.74 51.17 mean
16.993 16.325 std. dev.
19 24 n
41 df
-0.43000 difference (A - B)
276.27674 pooled variance
16.62157 pooled std. dev.
5.10416 standard error of difference
0 hypothesized difference
-0.084 t
.9333 p-value (two-tailed)

Therefore, we can conclude that there is no significant difference between the means of A and B for Age in Years.

For the third t-test for Duration of Disease:

A B
1.32 1.25 mean
0.478 0.442 std. dev.
19 24 n
41 df
0.07000 difference (A - B)
0.20990 pooled variance
0.45815 pooled std. dev.
0.14069 standard error of difference
0 hypothesized difference
0.498 t
.6215 p-value (two-tailed)

Therefore, we can conclude that there is no significant difference between the means of A and B for the Duration of Disease.


Related Solutions

The following data represent the results of an independent-measures study comparing two treatment conditions. Treatment One...
The following data represent the results of an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 3.3 2.6 5 4.4 3.6 3.3 5.4 6 6.2 2.8 5.4 5.1 4.3 2.6 4.6 2.5 Run the single-factor ANOVA for this data: F-ratio:    p-value:   Now, run the t test on the same data: t-statistic:    p-value:   
1) The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment...
1) The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 3 3.1 4.5 4.5 4.8 4.5 4.5 3.9 6.5 3.9 4.3 3.8 3.7 3.4 Run the single-factor ANOVA for this data: F-ratio:    p-value:    Now, run the t test on the same data: t-statistic:    p-value:    2) Google Sheets can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 2.5 1.7 3.9 4.5 4.3 3.2 4.6 2.9 2.9 3.2 5.1 3.8 4.2 2.3 Using technology, run the One-way ANOVA Test for this data: F-ratio:   p-value:   Now, run the Two Independent Sample t test on the same data: Note: Do this with "pooled variances" since one assumption we make with ANOVA is that the variances for each group are equal. t-statistic:   p-value:  
When applying statistical tests involving comparing two means or a sample to a population mean, there...
When applying statistical tests involving comparing two means or a sample to a population mean, there are many organizational applications. For example, Human Resources may want to track entrance exam scores of their new hires. This would be an example of two mean comparison. In terms of the recent election, Gallup may take a sample and compare to a population of candidate votes (sample mean compared to a population mean). Think of an example in your organization of either one...
You are conducting a study comparing two different treatments for post-surgical recovery. Group A, consisting of...
You are conducting a study comparing two different treatments for post-surgical recovery. Group A, consisting of 10 patients from your clinic, will be given the current standard treatment. Group B, consisting of 10 different patients from your clinic, will be given a new experimental treatment. Both groups of patients have undergone the same surgery in the last month. Table 1. Number of post-surgical recovery days reported by group. Group A Group B 3 days 5 days 8 days 5 days...
You are responsible for providing instructions to patients before they have an in-office surgery. How would...
You are responsible for providing instructions to patients before they have an in-office surgery. How would you provide appropriate information for before the procedure, on the day of surgery, and after the surgery?
1. The following results were collected for two experiments involving the reaction at 600 oC between...
1. The following results were collected for two experiments involving the reaction at 600 oC between gaseous sulfur dioxide and oxygen to from gaseous sulfur trioxide. Experiment 1 Experiment 2 Initial Equilibrium Initial Equilibrium [SO2]o = 2.00 M [SO2] = 1.50 M [SO2]o = 0.500 M [SO2] = 0.590 M [O2]o = 1.50 M [O2] = 1.25 M [O2]o = 0 M [O2] = 0.0450 M [SO3]o = 3.00 M [SO3] = 3.50 M [SO3]o = 0.350M [SO3] = 0.260...
The following table shows the results of a repeated-measures analysis of variance comparing two treatment conditions...
The following table shows the results of a repeated-measures analysis of variance comparing two treatment conditions with a sample of n = 12 participants. Note that several values are missing in the table. What is the missing value for SStotal? Source SS df MS Between xx xx 12 F = 4.00 Within xx xx Bet. Sub. 35 xx Error xx xx xx Total xx xx 45 47 80 148
In a research study comparing two different types of aortas (a healthy aorta and a repaired...
In a research study comparing two different types of aortas (a healthy aorta and a repaired aorta), researchers recorded the number of individuals with each type of aortas who had reduced blood flow. For the individuals with the healthy aortas, 28 had reduced blood flow, and 83 did not. In the group with the repaired aortas, 55 patients had reduced blood flow, and 180 did not. Do the confidence intervals overlap? Explain briefly the meaning of any overlap or lack...
In a research study comparing two different types of aortas (a healthy aorta and a repaired...
In a research study comparing two different types of aortas (a healthy aorta and a repaired aorta), researchers recorded the number of individuals with each type of aortas who had reduced blood flow. For the individuals with the healthy aortas, 28 had reduced blood flow, and 83 did not. In the group with the repaired aortas, 55 patients had reduced blood flow, and 180 did not. a) Calculate a 90% confidence interval for percentage of individuals in each population who...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT