BUAD302 Study Guide - Quiz Guide: Contingency Table, Missing Data, Data Integrity
11 Dec 2018
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Chapter 10: data preparation process- converting data from a source into usable code for data analysis. Central tendency and dispersion are used to summarize and describe these data: next, translate frequency tables into graphical illustrations. Inferential statistics: use a random sample of data taken from a population to describe and make inferences about the population: estimation, hypothesis testing, hypotheses: ideas derived by researchers from previous research, theory, and/or the current business situation. Interval/ratio variables use t-tests (univariate, independent samples, paired samples), one-way anova, correlation analysis, and regression: choose the significance level, prepare a statistical decision (ex: find the p value) If the t value is close to mu (average), do not reject the null hypothesis. If it is far away from mu, reject the null hypothesis: make a statistical decision (reject the null hypothesis if p<0. 05 and do not reject the null hypothesis if p>=0. 05)
