Homework Exercise 29
Grand Canyon University
December 23, 2012

1. Were the groups in this study independent or dependent? Provide a rationale for your answer. Answer- The group studies were independent. They were being tested by gender, male and female. They were also not matched or paired with each other. 2. t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer. Answer- The variable that is described by -3.15 is the mental health variable. It is significant as indicated by the p value of 0.002. This is less than the alpha number of 0.05 3. Is t = −1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study. Answer- The variable that -1.99 is for is health functioning. It is significant. The p is 0.049. Since the p value is less than the alpha of 0.05 that was designated for the test. The women have lower health functioning than the men have. 4. Examine the t ratios in table VI. Which t ratio indicates the largest difference between male and females in the post MI study? Is this t ratio significant? Provide a rationale for your answer. Answer- The largest t ratio in this study is -3.15 this has a p value of 0.002. It is for the variable of mental health. It is significant. The means are 62.3 for women and 72.7 for men. There is a big difference between the two genders. 5. Consider t = −2.50 and t = −2.54. Which t ratio has the smaller p value? Provide a rationale for your answer. What does this result mean? Answer- The t ratio of -2.54 has a smaller p value (0.007) than the t ratio of -2.50 which has a p value of (0.01). The smaller the p values the less likely the findings will be in error. This result means that the men and women were different for physical role. The men (12.6 mean) scored higher on the physical role than the women (4.7 mean). 6. What is a Type I error?...

...Testing statisticalsignificance is an excellent way to identify probably relevance between a total data set mean/sigma and a smaller sample data set mean/sigma, otherwise known as a population mean/sigma and sample data set mean/sigma. This classification of testing is also very useful in proving probable relevance between data samples. Although testing statisticalsignificance is not a 100% fool proof, if testing to the 95%...

...
Copyright 1983 by the American Psychological Association, Inc.
StatisticalSignificance, Power, and Effect Size: A Response to the Reexamination of Reviewer Bias
Bruce E. Wampold
Department of Educational Psychology University of Utah
Michael J. Furlong and Donald R. Atkinson
Graduate School of Education University of California, Santa Barbara
In responding to our study of the influence that statisticalsignificance has on...

...A Study on Gugo and Okra as Homemade Shampoo
A Research Done by:
Francine Faye A. Jumaquio
Majaline Faye A. Tolentino
Romer T. Nepumoceno
Talavera National High School
Talavera Nueva Ecija
A Study on Gugo and Okra as a Homemade Shampoo
Claudine M. Lajara
I-Rosal
Introduction
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...BIOL 231 – Marine Environment
Title
An integrated study of the Mpenjati Estuary-Beach System. (PhysicalComponent)
Kutlo Thathe
University Road
Westville
Private Bag X 5600
Durban
4000
210551705@stu.ukzn.ac.za
Abstract
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...
Abstract
Power Analysis, StatisticalSignificance, & Effect Size
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...at the 5% level, not applicable in this report
As indicated above that a single stared p value (*p) means that the coefficients are statistically significant and those which are double starred (**p) are statistically insignificant. To measure significance in this report we have used ∞ = 0.05 or 5%. We are not interested in other percentages except that of ∞ = 0.05 0r 5%. None of the coefficients are statistically insignificant as can be shown with the key above and the ANOVA...

...and turns into the winged form. It hatches in about 4 days and is fertile in 12 hours.
Statistical analysis can be used to determine if there is a significant difference between two of group data sets. One way to do this is to use a Chi square. The Chi square test produces a number which you compare to a statistical Chi square number. Each of these statistical numbers has a significance level. Significance levels show...

...A computer system consists of mainly four basic units; namely input unit, storage unit, central processing unit and output unit. Central Processing unit further includes Arithmetic logic unit and control unit, as shown in the figure:. A computer performs five major operations or functions irrespective of its size and make. These are
• it accepts data or instructions as input,
• it stores data and instruction
• it processes data as per the instructions,
• it controls all operations inside...

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