Statistics - Descriptive Statistics Projects

Descriptive Statistics Download dataset 1 from the ‘Final Exam’ folder on Blackboard. Provide a table

Descriptive Statistics
1. Download dataset 1 from the ‘Final Exam’ folder on Blackboard. Provide a table of
  descriptive statistics that includes, n, mean, median, standard deviation, minimum
  score, maximum score and standard error for each continuous variable.
Run a ‘Shapiro-Wilk Normality Test’ on each continuous variable in the dataset from question 1. Report on the answer document the results of this test for each variable in the dataset.
Using dataset 1 run a correlation matrix on the dataset and report the bivariate correlations for the continuous variables.
Using the ‘act’ and ‘sci’ variables from dataset 1, perform a correlation analysis between the two variables using the ‘Spearman’ method.
Using dataset 1, perform a regression analysis on the ‘sci’ variable and the ‘bio’ variable using the ‘sci’ variable as a predictor of the ‘bio’ variable. Using APA format, report your findings. Remember to include your r-squared effect size measure. BONUS generate a scatter plot of the ‘sci’ variable as a predictor of the ‘bio’ variable. Save this as a .pdf and submit it on May 7th.
Is the mean of a set of student scores for Teacher 1 statistically significantly different from a set of scores from Teacher 2 in dataset 4? Using dataset 4, perform an independent samples t-test on Teacher 1 and Teacher 2’s scores; and use Cohen’s d to determine an effect size measure. Using APA format, report your findings.
Dataset 2 contains information on the amount of study time a student engaged in prior to taking an exam. There are 4 different groups of students in this analysis, therefore there are 4 separate means that need to be compared. Using dataset 2, run a one-way independent ANOVA. Determine the eta-squared effect size measure of the analysis. Use the ‘describe’ function to analyze the descriptive statistics for this dataset before running the ANOVA. Using APA format, report your findings from this ANOVA along with the eta-squared effect size. Bonus: run the ‘Tukey’ post hoc test and determine which means were statistically significantly different, it any. Report these findings for an additional 5 pts.
Dataset 3 contains information on two teachers. Each teacher used a different teaching method with their students and both classes were assessed using the same assessment instrument. Both classes are very similar in their demographic and achievement-level makeup. Using dataset 3, perform a chi-square analysis of the categorical data. Determine if there is a relationship between the teaching method used and the likelihood of a student to pass an exam over the material taught. Report your findings using APA format.