Suppose you are testing whether there is a statistically significant difference in depression level between a...
Suppose you are testing whether there is a statistically significant difference in depression level between a treatment and placebo group. You find a p-value of p=0.90. Do you reject or fail to reject the null hypothesis of no difference between groups? Why? Explain.
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Suppose you are testing whether there is a statistically
significant difference in depression level between a...
Suppose you are testing whether there is a statistically significant difference in systolic blood pressure (mmHg)...
Suppose you are testing whether there is a statistically significant difference in systolic blood pressure (mmHg) between a treatment and placebo group; that is, positive values indicate the treatment is more effective than the placebo, and negative values indicate the placebo is more effective than the treatment. The 95% CI is [8, 17] . Based on this interval, did the treatment group outperform the placebo, or vise versa? Should you reject or fail to reject the null hypothesis of no...
In a study, researchers randomly assigned 500 people to the “treatment group” and the other 500 to the “control (or placebo) group”. A statistically significant difference was reported between the res...
In a study, researchers randomly assigned 500 people to the “treatment group” and the other 500 to the “control (or placebo) group”. A statistically significant difference was reported between the responses of the two groups with p-value < 0.005. What is the best conclusion? A. There is little evidence that the treatment has any effect. B. Here is strong evidence that the treatment is effective. C. Using a 5% significance level, we can conclude that the treatment was not effective,...
You want to know if there is a statistically significant difference between father’s age and miscarriage....
You want to know if there is a statistically significant difference between father’s age and miscarriage. You collect data at the Totally Made Up Hospital and find the following: Miscarriage N Mean Paternal Age Standard Deviation No 162 33.4 2.8 Yes 48 41.1 3.1 a. What is your null hypothesis? b. What is your research hypothesis? c. What test would you run to test your hypothesis? d. Compute the test at the 5% level of significance. e. State whether you...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either at test or an ANOVA. The two tests are related by the equation F=12. The following data are from a repeated-measures study: Person Difference Scores 3 I 4 2 3 7 M = 4.00 T = 16 SS = 14 Treatment II 7 11 6 10 M 8.50 T-34 SS = 17 3 3 Mo 4.50 SS = 27.00 Use a repeated-measures t...
There is no statistically significant difference between the sample means of two groups Group of answer...
There is no statistically significant difference between the sample means of two groups Group of answer choices A. False Hypothesis B. Research Hypothesis C.Null Hypothesis D.True Hypothesis
Question 12 2 pts If a researcher reports a “statistically significant difference” between two groups after...
Question 12 2 pts If a researcher reports a “statistically significant difference” between two groups after conducting an independent-samples t test, this implies that: Cohen's d is at least 0.50. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is true. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is false. there is a large difference between the two groups.
A comparison is made between two bus lines to determine if arrival times of their regular...
A comparison is made between two bus lines to determine if
arrival times of their regular buses from Denver to Durango are off
schedule by the same amount of time. For 51 randomly selected runs,
bus line A was observed to be off schedule an average time of 53
minutes, with standard deviation 19minutes. For 61 randomly
selected runs, bus line B was observed to be off schedule an
average of 62 minutes, with standard deviation 15 minutes. Do the...
3. As with the previous homework, we want to compare the average decrease in PSI between the two ...
3. As with the previous homework, we want to compare the average decrease in PSI between the two teams. Create a new column for decrease in PST, defined as PST Pregarne minus PST_Halftime. Use "Analyze Fit Y by X", select the appropriate variables (see the notes if you have trouble with this), hit "OK", then select "t Test" from the drop down menu on the next screen. The results that you ignored in the previous homework are the results of...
The highway department is testing two types of reflecting paint for concrete bridge end pillars. The...
The highway department is testing two types of reflecting paint for concrete bridge end pillars. The two kinds of paint are alike in every respect except that one is orange and the other is yellow. The orange paint is applied to 12 bridges, and the yellow paint is applied to 12 bridges. After a period of 1 year, reflectometer readings were made on all these bridge end pillars. (A higher reading means better visibility.) For the orange paint, the mean...
The null hypothesis states there will be no difference in scores on the ADS between face-to-face...
The null hypothesis states there will be no difference in scores on the ADS between face-to-face counseling and video conference counseling. The results are t(38) = 0.258, p = .798. Group Statistics Group N Mean Std. Deviation Std. Error Mean ADS face to face video 20 20 9.2500 9.0000 3.14350 2.97357 .70291 .66491 Independent Samples Test Levene’s Test for Equality of variance t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either at test or an ANOVA. The two tests are related by the equation F=12. The following data are from a repeated-measures study: Person Difference Scores 3 I 4 2 3 7 M = 4.00 T = 16 SS = 14 Treatment II 7 11 6 10 M 8.50 T-34 SS = 17 3 3 Mo 4.50 SS = 27.00 Use a repeated-measures t...
Question 12 2 pts If a researcher reports a “statistically significant difference” between two groups after conducting an independent-samples t test, this implies that: Cohen's d is at least 0.50. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is true. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is false. there is a large difference between the two groups.
A comparison is made between two bus lines to determine if
arrival times of their regular buses from Denver to Durango are off
schedule by the same amount of time. For 51 randomly selected runs,
bus line A was observed to be off schedule an average time of 53
minutes, with standard deviation 19minutes. For 61 randomly
selected runs, bus line B was observed to be off schedule an
average of 62 minutes, with standard deviation 15 minutes. Do the...
3. As with the previous homework, we want to compare the average decrease in PSI between the two teams. Create a new column for decrease in PST, defined as PST Pregarne minus PST_Halftime. Use "Analyze Fit Y by X", select the appropriate variables (see the notes if you have trouble with this), hit "OK", then select "t Test" from the drop down menu on the next screen. The results that you ignored in the previous homework are the results of...
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