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 rationale for your answer. Discuss the meaning of this result
Premium Null hypothesis Statistical hypothesis testing Hypothesis
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
Premium Statistical hypothesis testing Statistical significance Null hypothesis
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
Premium Meaning of life Statistical significance Statistics
Exercise 36 Answers 1. Since the F value is significant‚ based on the p-value of 0.005 which is less than 0.05 which is sufficient to reject the null hypothesis. This suggests that there is a difference in the control and treatment groups. 2. Since the p- value is less than 0.05 and therefor the null hypothesis can be rejected. This presents that the mean‚ difficulty and mobility scores‚ must be different 3. The result was statistically significant with a probability score of p < 0.001.
Premium Statistical hypothesis testing Statistical power Statistical significance
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
Premium Blood pressure Statistics Normal distribution
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
Premium Statistical significance Statistical hypothesis testing Statistics
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
Premium Statistics Statistical hypothesis testing Normal distribution
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
Premium Harshad number Chief executive officer Green Line
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
Premium Normal distribution Variance Statistics
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
Premium Null hypothesis Hypothesis Statistical hypothesis testing