Statistics

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This course surveys descriptive and inferential statistics with an emphasis on practical applications of statistical analysis. The principles of collecting, analyzing, and interpreting data are covered. It examines the role of statistical analysis, statistical terminology, the appropriate use of statistical techniques and interpretation of statistical findings through applications and functions of statistical methods.

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

Standard Deviation, Probability, and Normal Distribution

• Calculate a probability from a Z-score and vice versa.
• Calculate standard deviation and variance for ungrouped data.
• Use the empirical rule to determine if a data value is usual or unusual.
• Calculate probabilities using the classical and relative frequency approaches.
• Calculate probabilities using the addition and multiplication rules.
• Use combinations to calculate the total number of possible events.

Central Limit Theorem and Estimates

• Identify biased and unbiased estimators.
• Use the Central Limit Theorem to calculate probabilities and z-scores.
• Calculate a probability from a t-score and vice versa.
• Calculate and interpret confidence intervals for proportions and means.
• Calculate the required sample size to estimate a population proportion and mean.

Hypothesis Testing

• Perform the five steps in hypothesis testing with one- and two-tailed "z" tests.
• Perform the five steps in hypothesis testing with one- and two- tailed "t" tests.

Correlation and Regression

• Interpret the correlation of data from a graph.
• Calculate the correlation coefficient.
• Perform a hypothesis test on a correlation coefficient.
• Calculate the equation of the regression line for a set of paired data.
• Use the results of the regression line equation for predictions.

Introduction to Statistics, Graphing, and Measures of Center

• Classify data.
• Distinguish between a sample and a population.
• Determine whether a sample is random or biased.
• Analyze a set of data with respect to characteristics such as Center, Distribution, Outliers, and Time.
• Create a frequency distribution.
• Create a graphical display using technology.
• Interpret data presented in a graph.
• Calculate mean, median, and mode for ungrouped data.
Tuition for individual courses varies. For more information, please call or chat live with an Enrollment Representative.