STA 101 Course Info

• Midterm 1 Study Material
• Know the terms in red on the lecture notes
• The homework provides good practice problems
• A few good practice problems from the book with solutions are:
  • 1 and 2 on page 82
  • 1 on page 84
  • 1 and 2 on page 88
  • 1, 2, and 3 on page 92.


• Midterm 2 Study Material
• Here are a few things to take special note of:
• Know the terms in red on the lecture notes
• Know what the central limit theorem says about the sampling distribution of x-bar.
• Know what problems require a t-test and what problems require a z-test.
• Know the purpose of a confidence interval and how to calculate one
• Know the interpretation of confidence and p-values
• Know what a test statistic is and how to calculate one
• Know how to use the z and t tables
• Be comfortable with writing hypotheses.
• Know the steps to hypothesis testing and confidence intervals including what checks (assumptions) are required to hold for their use.
• Know how to do hypothesis testing and confidence intervals for population proportions.
• Be comfortable with all the homework problems.


• Final Study Material
• Be comfortable with the homework problems - especially HW 7, 8, and 9.
• The final will focus on the following:
• Problem solving - when to do what type of statistical analysis. For example, when to do a one sample t-test, two sample t-test, ANOVA, etc.
• Interpretation of statistical results - interpreting p-values, confidence intervals, drawing correct conclusions from statistical analyses, etc.
• Be comforatable with the following:
• Knowing what formulas to use in which situations
• The assumptions necessary for performing the analyses discussed in this class - especially the regression assumptions.
• The central limit theorem and why it is important.
• Using the normal- and t-tables to calculate p-values for tests of hypotheses.
• Interpreting regression and ANOVA computer output.