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Viewing outcome relationships between MTHM 168 - STATISTICS and 152 - Data Analytics - Tools and Techniques

Last approved: Fri, 19 Apr 2024 16:33:14 GMT

Last edit: Fri, 19 Apr 2024 16:33:12 GMT

152 - Data Analytics - Tools and Techniques
  • PLO 2: Utilize the industry common tools to mine large data sets for relationships and other insights.
    • CLO 5: Construct and interpret a confidence interval for a population parameter (such as proportion, mean, difference in proportions and difference in means) by using percentiles of a bootstrap distribution.
    • CLO 6: Use a randomization distribution for a population proportion, mean, difference of proportions, and difference of means to perform the corresponding hypothesis test for a given sample and null hypothesis.
    • CLO 7: Use the normal distribution to interpret z-scores and compute probabilities.
    • CLO 10: Use either a normal or t-distribution, as appropriate, to obtain a margin of error and construct the corresponding confidence interval. Interpret the results.
    • CLO 11: Perform a full hypothesis test for a population proportion and mean using either a normal or t-distribution, as appropriate. This process should include: formulating a null and alternative hypothesis from a given claim, choosing a test statistic, describing the rejection criteria, making a decision using a p-value or critical value, drawing an appropriate conclusion, and describing Type I and Type II errors.
  • PLO 3: Utilize visualization techniques to discover useful information within large data sets and communicate them to an appropriate audience.
    • CLO 3: Summarize bivariate data using graphical and numerical summaries including scatter plots, correlation coefficients and least squares regression lines.
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