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 rationale for your answer. Discuss the meaning of this result in this study. t = -1.99 describes health functioning. This is very significant. It is used to describe decline from illness or disease. It could solely explain
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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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number of males and females are in each group‚ thus reducing the extraneous effect of gender on the study results. The researcher’s decision to match groups is determined by the study being conducted and is detailed in the study design. In previous research‚ groups have most commonly been matched for age‚ gender‚ ethnicity‚ diagnoses‚ and status of illness. Matching the groups strengthens the study design by reducing the effect of extraneous variables controlled by matching. Groups are also dependent
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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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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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Exercise 11 Questions to be graded March 16‚ 2014 1. What demographic variables were measured at least at the interval level of measurements? Age‚ income‚ length of labor‚ return to work‚ and number of hours working per week 2. What statistics were used to describe the length of labor in the study? Were these appropriate? Mean and standard deviation were used to describe the length of labor. Yes‚ these were appropriate because a mean (M) can only be used to calculate on interval (and
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EXERCISE IN STATISTICS Below are hypothetical data. (1) Organize them in bivariate tables to answer the problems below. Determine the statistics to use for each. 1. Are sex and occupation associated? 2. Are age and income correlated? 3. Are educational attainment and sex associated? 4. Are civil status and occupation associated? 5. Are occupation and income related N>E> you may use data transformation (from interval data to nominal data) Respondent No. Age Sex Civil Status Educational attainment
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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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