1. Were the groups in this study independent or dependent? Provide a rationale for your answer. Independently due to the data being collected independently 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. t = -3.15 describes mental health in this study. This is significant because mental health plays a big role in the outcome of MI patients. 3. Is t = −1.99 significant? Provide a
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9Name: Brielle Cantagallo Class: Statistics Date: 3/17/13 □ EXERCISE 29 Questions to be Graded * 1.Were the groups in this study independent or dependent? Provide a rationale for your answer. The groups in this study were independent because the two sets of data were not taken from the same subjects. The subjects were in one group: female and the second group: male. * 2.t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant
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Exercise 29 Q 1: Were the groups in this study independent or dependent? Provide a rationale for your answer. Q 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. Q 3: Is t ’ –1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study. Q 4: Examine the t ratios in Table VI. Which t ratio indicates the largest difference between the males
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Assessing T-tests To clearly identify what a t-test accomplishes in descriptive statistics it is imperative to understand what a t-test represents. A “t-test is a parametric statistical test for comparing the means of two independent samples” (Plichta & Kelvin‚ 2013‚ p. 464). Gosset developed the t-test for use in quality control at the Guinness Brewery and published his works under the pen name “Student” (Plichta & Kelvin‚ 2013). T-tests use assumptions related to the underlying
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The t-test for dependent groups is a parametric analysis technique used to determine statistical differences between two related samples or groups. Groups are dependent or related because they were matched as part of the design to ensure similarities between the two groups and thus reduce the effect of extraneous variables. For example‚ two groups might be matched on gender so an equal number of males and females are in each group‚ thus reducing the extraneous effect of gender on the study results
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Exercise 29 - Statistics work book SUMITHA THOMAS GRAND CANYON UNIVERSITY Exercise 29 - Statistics work book Name:____Sumitha K Thomas________________________________________ Class: ____________________ Date: ___3/10/2013______________________________________________________________________________ □ EXERCISE 29 Questions to be Graded 1. Were the groups in this study independent or dependent? Provide a rationale for your answer. Groups are independent in this study. According to the
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T-test for Two Independent Samples * This test is used when only two unrelated groups are being compared and the measurements are either interval or ratio. The two groups may or may not have the same number of samples. * The t-test for two independent groups involves testing whether or not there is a significant difference between the population means of the two groups. Consider a study wherein the effectiveness of banana leaves as an organic wrapper was compared to that of aluminum foil
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EXERCISE 29 t-TEST FOR INDEPENDENT GROUPS I STATISTICAL TECHNIQUE IN REVIEW The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate‚ researchers often use it in determining differences between two groups
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Annamma Thomas Exercise 29 1. The groups were independent because the men and women participating in the experiment did not share any relationships and their quality of life tests were totally independent of one another. 2. The variable described by this number is mental health. Since the P value is .002 and the alpha is .05‚ the difference can cause the null hypothesis to be rejected. 3. The T-Value is significant because the P value is .049 which is the closest to the alpa which is .05
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not = 440 Statistic 4.9 With 98% confidence Lower limit 3.05348411 Upper limit 24.7249703 With 98% confidence we cannot reject Ho since the statistic is inside the acceptance zone b) Check the same hypothesis with 95% confidence. With 95% confidence Lower limit 3.81574825 Upper limit 21.9200493 With 95% confidence we cannot reject Ho since the statistic is inside
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