After reading this chapter, student should be able to: • Develop and test a hypothesis using a prescribed procedure • Know the difference between a Type I and Type II error • Recognize when univariate statistical test is appropriate • Recognize when bivariate statistical test is appropriate • Calculate the appropriate hypothesis test statistics for univariate analysis and make the appropriate decision • Calculate the appropriate hypothesis test statistics for bivariate analysis and make the appropriate decision • Understand the concept of analysis of variance (ANOVA) and interpret its outputs • Identify the strength and direction of the relationship between two variables of interest using correlation analysis
CITATION STYLE
Cleff, T. (2019). Univariate Data Analysis. In Applied Statistics and Multivariate Data Analysis for Business and Economics (pp. 27–70). Springer International Publishing. https://doi.org/10.1007/978-3-030-17767-6_3
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