This course surveys descriptive and inferential statistics with emphasis on practical applications of statistical analysis. The principles of collecting, analyzing, and interpreting data are covered in this course. It examines the role of statistical analysis, terminology, the appropriate use of techniques, and interpretation of statistical findings through the applications and functions of statistical methods.
Interpret standard error of estimate, confidence intervals, and prediction intervals.
Calculate standard error of estimate, confidence intervals, and prediction intervals.
Predict the value of y for a given value of x using a single linear regression equation.
Develop a single linear regression equation.
Calculate coefficient of correlation and coefficient of determination.
Determine normality using a Goodness-of-Fit Test.
Perform a chi-square test using equal and unequal expected frequencies.
Introduction to Inferential Statistics and Test of Hypothesis
Interpret the results of a hypothesis test.
Determine statistically whether to accept or reject the null hypothesis.
Calculate a test statistic in a one-tailed and two-tailed z-test.
Formulate null and alternative hypotheses.
State the five steps in the decision rule.
Distribution and Variation
Interpret the significance of standard deviation using the Empirical Rule.
Calculate range, variance, and standard deviation for grouped and ungrouped data.
Differentiate among the various levels of measurement.
Utilize graphical representation to display data.
Determine whether or not data is normally distributed.
Introduction to Statistics
Identify the various symbols and nomenclature used in statistics.
Develop a frequency distribution based on raw data.
Calculate the mean, median, and mode for grouped and ungrouped data.
Explain the value of statistics as it relates to you.
Describe the importance of statistics.
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