ST3001 Descriptive Statistics: Describing and Graphing Data – Sample Assessment
Study variables, graphs, descriptive statistics, BMI comparison, and outlier analysis.
STAT 3001 Statistical Methods and Applications
Study variables, graphs, descriptive statistics, BMI comparison, and outlier analysis.
Correlation, BMI with HDL/LDL, linear regression, and pulse prediction using multiple regression.
Confidence intervals, normal-distribution probabilities, BMI percentiles, and interval comparison.
Chi-square hypothesis tests, BMI t-test, regional ANOVA, and box-plot interpretation.
ST3004 Competency Discussion Question Hypothesis Testing Give an example of a situation when an ANOVA test would be most appropriately used. Explain why you would use an ANOVA test in this…
ST3003 Competency Discussion Question ST3003 Normal Distribution Provide an example in which you would use a 90% confidence interval rather than a 99% confidence interval. Explain one…
ST3002 Competency Discussion Question ST3002 Correlation and Regression Simple linear regression involves the relationship of two variables, such as predicting weight based on height.…
ST3001 Competency Discussion Question Explain one situation in which you might prefer to use qualitative data instead of quantitative data. Why would you choose qualitative data in this…