Business statistics: decision making with data
This book helps readers understand the reasoning by which findings from sample data can be extended to general conclusions to solve business problems. It discusses statistical methods and includes an explanation of their underlying assumptions and the dangers of ignoring them. It emphasizes the use of computers for calculations and provides numerous data sets and computer outputs.
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DESCRIBING PATTERNS IN DATA
ORGANIZING DATA ASSOCIATION AND RELATIONSHIPS
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alternative hypothesis approximately autocorrelation Bernoulli trials binomial distribution boxplot Calculate called Chapter chart claim collection common cause variation confidence interval Construct correlation coefficient customers data set degrees of freedom denote determine elementary outcomes error margin event example explanatory variable Figure Find the probability fitted forecast given independent inferences least squares line lurking variable measurements median Minitab or similar normal curve normal distribution normal-scores plot null hypothesis observations P-value pairs population mean population proportion prediction interval predictor variables probability distribution quartile random sample random variable Refer to Exercise regression model reject the null rejection region relative frequency residuals response sample mean sample space sample standard deviation scatterplot scores selected similar program recommended simple random sample Solution and Discussion standard error standard normal straight line sum of squares test statistic Total Treatment units variance variation