BUS 308 ENTIRE COURSE (NEW)
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BUS 308 Week 1 DQ 1 Data Scales
BUS 308 Week 1 DQ 2 Probability
BUS 308 Week 1 Quiz
BUS 308 Week 1 Problem Set Week One
BUS 308 Week 2 Journal
BUS 308 Week 2 DQ 1 t-Tests
BUS 308 Week 2 DQ 2 ANOVA Testing
BUS 308 Week 2 Quiz
BUS 308 Week 2 Problem Set
BUS 308 Week 3 DQ 1 Interval Data
BUS 308 Week 3 DQ 2 Correlation
BUS 308 Week 3 Assignment Evaluation of Correlations
BUS 308 Week 4 DQ 1 Simple Regression Analysis
BUS 308 Week 4 DQ 2 Multiple Regressions Analysis
BUS 308 Week 4 Problem Set
BUS 308 Week 4 Quiz
BUS 308 Week 5 DQ 1 Confidence Intervals
BUS 308 Week 5 DQ 2 Correlation and Confidence Intervals
BUS 308 Week 5 Final Paper
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BUS 308 Week 2 DQ 2 ANOVA Testing
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ANOVA Testing.
The manager of an agency providing temporary employees to city offices is analyzing the number of days temporary hires typically work in various types of industries.
The data are as follows:
Legal clerical: 2, 1, 4, 4, 2, 5, 6
Accounting firms: 3, 6, 4, 5, 5, 7, 8
Insurance: 5, 4, 7, 9, 9, 8, 11
Using the data above, answer the following questions:
a. Are there significant differences in the length of time temporary employee’s work in the different industries?
b. How much of the differences can be explained by the industry?
c. Which groups are significantly different from others?
d. Why would a manager be focused on measuring the number of days that a temporary works each week?
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BUS 308 Week 5 Final Paper
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