Descriptive statistics

for purposes of extrapolation of the data. Additionally, only respondents holding a full-time job were selected for the analysis in order to highlight the potential effects of work/family conflict (Lu et al., 2011). Description of Data and Descriptive Statistics A wide variety of data was collected for this article, some of which are discrete variables, such as Sex, Marital status, Rank, and Working spouse. All of these were given a score based on a nominal scale, and were then categorized…

Studying research and statistics has been a challenging endeavor. Though I am not a mathematician, knowing how the data is collected and analyzed provides me with an increased comprehension of research studies that are completed, particularly in my field of psychology. One such study involving the fitness levels of children who struggle with ADHD is a case in point. Understanding descriptive statistics and ANOVA test scores allows me greater clarity into the results and conclusions of the study.…

2.4. Data Analysis For the analysis of the quantitative data, one-way ANOVA, Chi-Square test of independence and descriptive statistics were applied. For ANOVA, in order to determine which groups caused the significant difference, Tamhane T2 test, one of the most common post hoc (multiple comparison) tests, was used. For the normal distribution of data, the skewness and kurtosis coefficients were examined. For the normality test skewness coefficient of a distribution taken in the range of -1.5…

3.5 Analytical Methods 3.5.1 Characterization of smallholder apiarists Descriptive statistics were used to determine the mean difference of socio-economic characteristics between the apiarists. The variables considered were; age of household head (measured in years), gender (given by the sex of household head (male=1, female=0), education level of household head (number of years of formal education attained by the household head). Others were: farming experience (measured number of years in…

4.0 Analysis & Discussion 4.1 Reliability & Validity: Case Processing Summary N % Cases Valid 18 94.7 Excluded 1 5.3 Total 19 100.0 a. List wise deletion based on all variables in the procedure. Reliability Statistics Cronbach 's Alpha N of Items .887 34 The questionnaire was adapted from previously done research work of Pappu et al. (2011), therefore, the questionnaire was considered rational and valid. The reliability of the questionnaire was checked by conducting a pilot test. The…

Introduction The data given to us was from a small hospital in Rhode Island. The data is collected from randomly selected emergency room patients. The variables given to us included: gender: female or male, age: 1-92 years, stayed overnight: yes or no, visits: 1-38 per year, hours: 1-21, money: $98-$3674, and aliment: varies. The data collected was sample data since it is only a portion of the population that is representative. The sample size of this data is n= 120. I wanted to be very…

The claim being tested is personality and drug use from a longtitundal study. The participants in the study were one hundred and one eighteen year olds. Forty nine were males and fifty two females they were part of a group that were first studied at three years old. Independent variable of the study male and females. Dependent variable puzzle, shapes, personality cards and CQ. One of the nursey schools were completing a recruitment of participants for a longtindual study. The group of kids…

Stat 3021 Practical Assignment Part 3 by Braden McDowell Introduction For the Stat 3021 project, I was interested in determining how NBA draft position impacted a player’s performance. More specifically, I aimed to determine “Do players drafted 1st overall tend to have a higher average win share per 48 minutes (WS/48 — see https://www.basketball-reference.com/about/ws.html for information on the calculation of this stat) than players drafted 2nd overall in their rookie seasons?” I hold a…

Deviation |Std. Error Mean | |Pair 1 | | |N |Correlation |Sig. | |Pair 1 |Before & After |20 |.193 |.415 | |Paired Samples Test | | |Paired Differences…

not eligible for the study (exclusion factors) if: they were non-GVSU students (due to inconsistent grading scales across universities), if they were incoming freshman (incomplete overall GPA), and if they did not know their current GPA. Further descriptive data regarding subjects is on (table 1, appendix A). Variables/ Measures: GVSU students were the subjects for the research and target population. The accessible population was solicited through GVSU-related online resources, including…