SPSS Data Analysis Does the number of average study hours per week during the semester accurately predict final exam grades? Independent variable: average number of study hours per week. Hours is continuous data because it can take on any value below 168 hours, which is the number of hours in a week. Even though the data is reported in integer form the 'hours' data is continuous. Hours data is quantitative, since it can be

SPSS Study Description: List the research question for the study. The researcher is interested in looking at whether or not an appraisal from a person's manager regarding their job performance affects the person's self-esteem as measures on a self-esteem appraisal survey (SEM). According to the vignette while the researcher has managers give either a positive rating or a negative rating; he/she has no pre-experimental hypotheses regarding of how these specific appraisals will

Look at the variables that show the change in the percentage of schools meeting or exceeding state standards (mathch94, readch94, and scich94). Test the hypothesis that the true change in the percentage meeting state standards is 0. Write a short report to the mayor detailing your findings. Reading improved but not math and science. Assignment #7c: Use Assignment 7c -- Tutorial Problem 8 ?" Chapter 13: Look at the changes between 1993 and 1994

Overall, it appears that the relationships between these variables are somewhat similar between men and women, although there are slight differences, most keenly pointed out in the ANOVA results. Correlations Respondent's Sex Age of Respondent Highest Year of School Completed Total Family Income Job Satisfaction Male Age of Respondent Pearson Correlation 1 -.240** -.065 -.125** Sig. (2-tailed) .000 .103 .005 N Highest Year of School Completed Pearson Correlation -.240** 1 .419** -.042 Sig. (2-tailed) .000 .000 .350 N Total Family Income Pearson Correlation -.065 .419** 1 -.114* Sig. (2-tailed) .103 .000 .012 N Job Satisfaction Pearson Correlation -.125** -.042 -.114* 1 Sig. (2-tailed) .005 .350 .012 N Female Age of Respondent Pearson Correlation 1 -.275** -.115** -.123** Sig. (2-tailed) .000 .001 .002 N Highest Year of School Completed Pearson Correlation -.275** 1 .459** -.093* Sig. (2-tailed) .000 .000 .018 N Total Family Income Pearson Correlation -.115** .459** 1 -.196** Sig.

Over 250 respondents reported working 40 hours, with the next highest frequency being under 100. Number of Siblings The histogram for the number of siblings shows a negatively skewed data set, with more participants reporting fewer siblings. However, the range in this variable was quite high, ranging from 0 to 22 siblings. The mean response was 3.71 siblings, the median response was 3 siblings and the mode of the sample was

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