MATH225
Final Exam Review
A little more focus—We have covered so much material this term so here is a review
that will help you focus your studying a little bit more. These are the concepts that
you want to review before you take the Final Exam.
1. Understand the relationship between scatter plots and tables and determine
patterns.
2. Find the linear regression equation given a list of data points.
3. Make predictions using a line of best fit.
4. Compute and interpret the coefficient of determination.
5. Calculate the correlation coefficient.
6. Understand the notation and interpret the parameters of a normal distribution.
7. Standardize a normally distributed random variable.
8. Use the Empirical Rule for normal distributions to estimate probability.
9. Use the normal distribution to compute probability.
10.Point estimates, margins of error, and confidence intervals.
11.Generate a confidence interval using the Empirical Rule.
12.Find the sample size required to estimate a population mean with the given
confidence level.
13.Calculate the sample size required to estimate a population proportion
with a given confidence level.
14.Identify the null and alternative hypothesis.
15.Distinguish between one- and two- tailed hypothesis tests and understand
possible conclusions.
16.Compute the value of the test statistic (z-value) for a hypothesis test for
one population mean with a known standard deviation.
17.Determine the p-value for a hypothesis test for the mean (population
standard deviation known).
©2024 Chamberlain University
Final Exam Review
A little more focus—We have covered so much material this term so here is a review
that will help you focus your studying a little bit more. These are the concepts that
you want to review before you take the Final Exam.
1. Understand the relationship between scatter plots and tables and determine
patterns.
2. Find the linear regression equation given a list of data points.
3. Make predictions using a line of best fit.
4. Compute and interpret the coefficient of determination.
5. Calculate the correlation coefficient.
6. Understand the notation and interpret the parameters of a normal distribution.
7. Standardize a normally distributed random variable.
8. Use the Empirical Rule for normal distributions to estimate probability.
9. Use the normal distribution to compute probability.
10.Point estimates, margins of error, and confidence intervals.
11.Generate a confidence interval using the Empirical Rule.
12.Find the sample size required to estimate a population mean with the given
confidence level.
13.Calculate the sample size required to estimate a population proportion
with a given confidence level.
14.Identify the null and alternative hypothesis.
15.Distinguish between one- and two- tailed hypothesis tests and understand
possible conclusions.
16.Compute the value of the test statistic (z-value) for a hypothesis test for
one population mean with a known standard deviation.
17.Determine the p-value for a hypothesis test for the mean (population
standard deviation known).
©2024 Chamberlain University
