Practical Business Statistics, Student Solutions Manual (e-only) |
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Contents
Defining the Role of Statistics in Business | 1 |
Classifying the Various Types of Data Sets | 2 |
Looking at the Distribution of the Data | 3 |
Interpreting Typical Values and Percentiles | 6 |
Dealing with Diversity | 10 |
Understanding Random Situations | 13 |
Working with Uncertain Numbers | 16 |
Planning Ahead for Data Gathering | 18 |
Measuring and Predicting Relationships | 27 |
Predicting One Variable from Several Others | 31 |
Communicating the Results of a Multiple Regression | 34 |
Understanding Changes Over Time | 35 |
Testing for Differences among Many Samples and Much More | 38 |
Testing with Ordinal Data or Nonnormal Distributions | 42 |
Testing for Patterns in Qualitative Data | 45 |
Recognizing and Managing Variation | 47 |
Common terms and phrases
Accept H0 Accept the null accept the research Aerospace Aerospace Aerospace Andrew F Approximately normal binomial Building 17.5 Building Building Building Building chi-squared coefficient of determination coefficient of variation Competitor conditional probability confidence interval extends control limits cost critical value data set data values defects per day degrees of freedom dollar amount exact computer result expected F statistic F test ffiffiffiffiffiffi firms forecast fourth quarter H0 and accept higher highly significant include the reference indicates larger McDonald’s median moving average normal distribution null hypothesis Odd Problem Solutions outlier p-value percentage points percentile population mean Practical Business Statistics prediction interval profit Published by Elsevier random sample reference value regression coefficient Reject H0 relationship research hypothesis Revenues sample average seasonally adjusted Siegel significant difference significantly different skewness smaller standard deviation standard error Student Solutions Manual table value tion ttable typical variability Yes No Yes