Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
BUS 308 Entire Course
BUS 308 Week 1 DQ 1 Data Scales
A marketing agency is interested in the buying habits of those who shop online versus those who shop in person.
BUS 308 Week 1 DQ 1 Language
BUS 308 Week 1 DQ 2 Probability
Things vary in life – virtually nothing (except physical standards such as the speed of light) we interact with is constant over time.
BUS 308 Week 1 Problem Set Week One
BUS 308 Week 1 Problem Set
1. For assistance with these calculations, see the Recommended Resources for Week One. Measurement issues.
BUS 308 Week 1 Quiz (New)
BUS 308 Week 1 Quiz
1. Question : Data on the city from which members of a board of directors come represent interval data.
2. Question : Inferential statistics infer the characteristics of samples.
BUS 308 Week 2 DQ 1 Hypotheses
BUS 308 Week 2 DQ 1 t-Tests
Imagine a shift manager at a manufacturing plant is gathering data on the number of units workers assemble during two different shifts over
BUS 308 Week 2 DQ 2 ANOVA Testing
BUS 308 Week 2 DQ 2 Variation
Variation exists in virtually all parts of our lives.
We often see variation in results in what we spend (utility costs each month, food costs, business supplies, etc.).
BUS 308 Week 2 Journal
BUS 308 Week 2 Problem Set
Problem Set Week Two
Complete the problems below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations.
BUS 308 Week 2 Quiz (New)
BUS 308 Week 2 Quiz
1. Question : How is the sum of squares unlike either the standard deviation or the variance?
2. Question : If sums of squares statistics are calculated for shoppers at three different retail
BUS 308 Week 3 Assignment Evaluation of Correlations
BUS 308 Week 3 DQ 1 ANOVA
In many ways, comparing multiple sample means is simply an extension of what we covered last week.
Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired;
BUS 308 Week 3 DQ 1 Interval Data
BUS 308 Week 3 DQ 2 Correlation
An employment agency gathers the following data on its clients:
BUS 308 Week 3 DQ 2 Effect Size
BUS 308 Week 3 Problem Set
ASSIGNMENT WEEK 3
Complete the problems below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations. All statistical calculations will use the
BUS 308 Week 4 DQ 1 Confidence Intervals
BUS 308 Week 4 DQ 1 Simple Regression Analysis
Simple Regression Analysis
Use the data in the chart to answer the questions below. The data indicates the number of “sick days”
BUS 308 Week 4 DQ 2 Chi-Square Tests
BUS 308 Week 4 DQ 2 Multiple Regressions Analysis
Multiple Regression Analysis
Develop a multiple linear regression equation that describes the relationship between tenure and the other variables in the chart above.
BUS 308 Week 4 Problem Set
BUS 308 Week 4 Quiz (New)
1. Question : The goodness of fit test null hypothesis states that the sample data does not match an expected distribution.
BUS 308 Week 4 Quiz
BUS 308 Week 5 DQ 1 Confidence Intervals
A hardware retailer has average sales of $64,235 with a standard deviation of $5,918 for a 12-month period. The mean monthly sales for all retailers in the chain are $59,844.
BUS 308 Week 5 DQ 1 Correlation
BUS 308 Week 5 DQ 2 Correlation and Confidence Intervals
Correlation and Confidence Intervals
A car dealer is using the number of years customers have owned their vehicles to predict how long it will be before they elect to replace them.
BUS 308 Week 5 DQ 2 Regression
BUS 308 Week 5 Final Paper (2 Papers)
This tutorial contains 2 Different Papers
The final paper provides you with an opportunity to integrate and reflect on what you have learned during the class.
BUS 308 Week 5 Final Paper
BUS 308 Week 5 Problem Set
ASSIGNMENT WEEK 5
1. Create a correlation table for the variables in our (Use analysis ToolPak or StatPlus:mac LE function Correlation).