By Trevor Wegner
An introductory information textual content for administration scholars who need to know the best way to examine information generated from any zone of business—be it advertising and marketing, finance, human assets, construction, or logistics—this ebook highlights the position of records as a choice aid device in administration selection making. all through, emphasis is put on the significance of knowledge and information caliber; the variety of attainable functions, proven by way of a variety of labored examples; transparent reasons of the way every one method works; and the legitimate administration interpretation of the statistical findings. Assuming just a easy point of mathematical skill, this reference courses scholars via every one statistical technique.
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Additional resources for Applied Business Statistics: Methods and Excel-Based Applications
E. does store preference differ significantly between male and female shoppers)? Solution 1 The row categorical variable is ‘store preference’: 1 = Checkers; 2 = Pick n Pay; 3 = Spar. The column categorical variable is ‘gender’: 1 = female; 2 = male. 3 Cross-tabulation table – grocery store preferences by gender Store Gender 1 = Female 7 3 10 2 = Pick n Pay 10 7 17 2 1 3 19 11 30 Total 32 2 = Male 1 = Checkers 3 = Spar Total To produce the cross-tabulation table, count how many females prefer to shop at each store (Checkers, Pick n Pay and Spar) and then count how many males prefer Chapter 2 – Summarising Data: Summary Tables and Graphs to shop at each store (Checkers, Pick n Pay and Spar).
Over the past six months they had varied both the number of ads placed per week and the advertising media (press, pamphlets, magazines) used each week. Weekly sales volume data was recorded, as well as the number of ads placed per week and the advertising media used each week. (a) How many random variables are there in this study? Name them. (b) Which random variable is being predicted? 1 2 3 4 5 19 Applied Business Statistics (c) Which random variables are assumed to be related to the variable being predicted?
1. 1 Compute the numeric frequency distribution and percentage frequency distribution for the amount spent on groceries last month by grocery shoppers. 2 Compute the cumulative frequency distribution and its graph, the ogive, for the amount spent on groceries last month. Management Questions 1 2 3 4 What percentage of shoppers spent less than R1 200 last month? What percentage of shoppers spent R1 600 or more last month? What percentage of shoppers spent between R800 and R1 600 last month? What was the maximum amount spent last month by the 20% of shoppers who spent the least on groceries?