MA 315 - Nursing Statistics

• Understand basic statistical terminology
• Produce data through sampling and experimental design
• Classify data by type
• Produce several methods of visually displaying data
• Compute measures of central tendency and measures of dispersion
• Understand the meaning, calculation, and interpretation of linear regression and correlation results
• Have a basic understanding of the normal distribution and its application to appropriate statistical situations
• Have a basic understanding of the concepts of sampling error and sampling distributions
• Have an understanding as to the construction of confidence intervals for the population mean and the importance of the Student-t distribution to the construction of such confidence intervals
• Have an understanding concerning the performance of hypothesis tests for the mean of a single population
• Have an understanding relating to inferences for the comparison of two population means
• Have a basic understanding with respect to the use of the chi-square distribution in goodness-of-fit and tests for independence calculations

• Simplification of algebraic expressions containing fractions, exponents and radicals
• Factoring
• Linear and quadratic equations
• Cartesian coordinate system
• Systems of equations

• Descriptive and inferential statistics introduction and discussion
• Linear regression
• The normal distribution and its use in statistics
• The central limit theorem and its importance to statistics
• Confidence intervals for the population mean
• Types of statistical errors 
• Hypothesis testing 
• Chi-square situations
• Analysis of variance