mth218 | undergraduate

Statistics II

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Students apply elementary probability theory, descriptive and inferential statistics, and reasoning to real-world situations. The course embeds foundational skill into topics including probability, statistics, and reasoning.

This undergraduate-level course is 5 weeks To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 5 weeks

topic title goes here

    Hypothesis Testing

    • Perform the 5 steps in hypothesis testing with one-and two-tailed z-tests.
    • Perform the 5 steps in hypothesis testing with one-and-two- tailed "t" tests.
    • Discuss possible type 1 and type 2 errors in hypothesis testing.
    • Discuss how confidence intervals relate to hypothesis testing.
    • Use the P value approach to test a hypothesis.


    • Use statistics to analyze application problems.

    Sampling Distributions and Central Limit Theorem

    • Explain the purpose of sampling distributions.
    • Explain how sampling error affects the need for sampling distributions.
    • Calculate the mean and standard deviation of a variable given mean and standard deviation of a population.
    • Apply the central limit theorem.
    • Determine the sampling distribution of the sample mean.

    Confidence Intervals and Estimates

    • Identify biased and unbiased estimators.
    • Review of sample versus populations and parameters versus statistics.
    • Calculate and interpret confidence intervals for proportions and means.
    • Calculate the required sample size to estimate a population proportion and mean.
    • Solve real world applications.

    Correlation and Regression

    • Interpret the slope and intercepts of a line.
    • Interpret the correlation of data from a graph.
    • Use technology to graph data, create a trend line, and calculate the equation of the trend line.
    • Calculate and interpret the correlation coefficient for a set of paired data.
    • Use the results of the regression line equation for predictions.
    • Solve real world applications.
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    Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.