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SPSS Exercise
Each problem below describes a different research question. For each problem, you will state the null and alternative hypotheses, determine which statistical test is appropriate to answer each question, run the analysis using SPSS and the accompanying data set from Blackboard, and then draw a conclusion based on the results of the analysis. Keep all of your SPSS output from running each analysis.
A researcher wishes to assess whether vitamin C is effective in the treatment of colds. To evaluate her hypothesis, she decides to conduct a 2-year experimental study. She obtains 30 volunteers from undergraduate classes to...
She randomly assigns an equal number of students to three groups: placebo (group 1), low dose of vitamin C (group 2) and high dose of vitamin C (group 3). In the first and second years of the study, students in all three groups are monitored to assess the number of days with cold symptoms that they have. During the first year, students do not take any pills. In the second year of the study, students take one of the following: no active ingredient (group 1), low dose of vitamin C (group 2) and high dose of vitamin C (group 3). The dependent variable was the difference between the number of days with cold symptoms from year 1 to year 2 that each participant experienced. Positive number indicate more days with cold symptoms from year 1 to year 2; negative numbers indicate fewer days with cold symptoms from year 1 to year 2. The data for this study is in the data file ex3.sav.
1. Write the null and alternative hypothesis using words or symbols. Be sure to include specific test values where appropriate.
H0: Vitamin C intake has not effect on the average…
86 34.00 additive 2 9 11.33 Total 16 Test Statisticsb gas mileage Mann-Whitney U 6.000 Wilcoxon W 34.000 Z -2.701 Asymp. Sig. (2-tailed) .007 Exact Sig. [2*(1-tailed Sig.)] .005a a. Not corrected for ties. b. Grouping Variable: fuel additives (per m) P (1) 0.004 P (2) 0.008 With the two P. values being so far apart, as well as the variance of the two groups being of significant value, around 2 whole values, it is clear that there is a significant difference to be noted between the two sample groups. Through the analysis of both
PHYSICAL EXERCISE AND MENTAL HEALTH Data Analysis ProceduresThe study seeks to determine the relationship between physical activities and mental health in teachers. The data was analyzed using SPSS version 15.0. Chi-square tests were used to test demographic differences in the frequency of exercising and the type of exercises undertaken. Analysis of variance (ANOVA) was conducted to assess differences in mental health status by the type and frequency of physical exercise.
Leadership Effectiveness Inventory Data Reliability Analysis After collecting data from the Nordic questionnaires, a reliability test was carried out to ascertain whether the nine scales used could predict overall satisfaction with the manager as a leader. The analysis found the scales reliable and moreover, it was apparent that reducing the questions in the questionnaires could not compromise data reliability. In addition, communication, planning/execution and teamwork were proved to be the best predictors
Autonomy-Supportive Coaching Autonomy-Supporting Coaching Not unlike the world of business, many researchers and pundits have evaluated and looked at the world of sports as a way to analyze whether and how certain coaching styles are beneficial or non-beneficial in terms of the performance and outcomes of the team in question. Of course, the question is a multi-faceted one and analyzing such a question in a controlled environment can be difficult. Samples sizes
9%-11.2% while the proportion of Hindus decreased from 84.9%-82.7%. He could not attribute the proportional changes to differences in migration or mortality, but to differences in fertility. Census and survey data show fertility is higher among Muslims than among Hindus, he claims. The total marital fertility rate for Muslim women was 11% higher in urban areas and 20% higher in rural areas than the rate for Hindus in those same
Females in Military Should females in military be allowed to lead combat units? Gender discrimination is a wide exercised practice that is witnessed in the military organization as well. Women in the current times are equally challenging and capable of being a significant part of combat units. However, this subject matter has come under numerous arguments and disagreements with controversial results. In this regard, this study aims and intends to carry out