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FOR MORE CLASSES VISIT<br>www.res342guidess.com<br>RES 342 Week 1 Individual Assignment Hypothesis Identification Article Analysis <br>RES 342 Week 1 Individual Assignment E-Text<br>RES 342 Week 2 Individual Assignment E-Text<br>RES 342 Week 2 Individual Quiz<br>RES 342 Week 2 Team Assignment One Sample Hypothesis Testing Paper<br>RES 342 Week 3 Individual Assignment E-Text <br>
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RES 342 Entire Course • RES 342 Week 1 Individual Assignment Hypothesis Identification Article Analysis • RES 342 Week 1 Individual Assignment E-Text • RES 342 Week 2 Individual Assignment E-Text • RES 342 Week 2 Individual Quiz • RES 342 Week 2 Team Assignment One Sample Hypothesis Testing Paper • RES 342 Week 3 Individual Assignment E-Text
RES 342 Week 1 Individual Assignment E-Text • Resource: Ch. 8 of Applied Statistics in Business and Economics • Prepare answers to the following assignments: • · Chapter Exercises 8.48 • Chapter Exercises 8.64
RES 342 Week 1 Individual Assignment Hypothesis Identification Article Analysis • Use the University Library or the Electronic Reserve Readings to locate a peer-reviewed article that reports original research and pertains to a specific, stated hypothesis that was used to validate a research study. • Use major databases in the Online Collection and the key search words research studies in to obtain an article.
RES 342 Week 2 Individual Assignment E-Text • Resource: Ch. 9 of Applied Statistics in Business and Economics • Prepare answers to the following assignments: • · Chapter Exercises 9.54 • · Chapter Exercises 9.56 • · Chapter Exercises 9.62 • Chapter Exercises 9.64
RES 342 Week 2 Individual Quiz • Prepare to take a quiz on topics covered in previous weeks. • RES/342 Week One: One Sample Hypothesis Testing • Objective: Identify the formal hypothesis testing process.
RES 342 Week 2 Team Assignment One Sample Hypothesis Testing Paper • www.res342guidess.com • Use the ratio or interval numerical data from one of the data sets available through the Data Sets link on your student website. • Develop one research question from which you will formulate a research hypothesis. • Prepare a 1,050- to 1,750-word paper describing the results of a hypothesis test of one population mean or population proportion.
RES 342 Week 3 Individual Assignment Applying Analysis of Variance (ANOVA) and Nonparametric Tests Simulation • Resource: Applying ANOVA and Nonparametric Tests Simulation • Complete the Applying ANOVA and Nonparametric Tests simulation located on your student website. • Prepare a 350- to 700-word summary addressing the following items: • · What are three lessons you learned relative to ANOVA and nonparametric tests? • · As a result of using this simulation, what concepts and analytic tools will you be able to use in your workplace (i.e., how do you expect to apply what you learned)?
RES 342 Week 3 Individual Assignment E-Text • Resource: Ch. 10 & 11 of Applied Statistics in Business and Economics • Prepare answers to the following assignments: • · Chapter Exercises 10.30 • · Chapter Exercises 10.44 • · Chapter Exercises 10.46 • · Chapter Exercises 10.56 • Chapter Exercises 11.24s.
RES 342 Week 3 Team Assignment Two or More Sample Hypothesis Testing Paper • Use the numerical data from one of the data sets available through the Data Sets link on your student website. • Develop one business research question from which you will formulate a research hypothesis that will test two or more populations. • Prepare a 1,050- to 1,750-word paper describing the results of a hypothesis test of two populations or more than two populations.
RES 342 Week 4 Individual Assignment E Text • Resource: Ch. 15 of Applied Statistics in Business and Economics • Prepare answers to the following assignments: • · Chapter Exercises 15.18 • · Chapter Exercises 15.22 • · Chapter Exercises 15.24 • Chapter Exercises 15.28
RES 342 Week 4 Individual Assignment Parametric and Nonparametric Data Identification Assignment • Resources: Parametric and Nonparametric Data Identification Assignment • Complete the University of Phoenix Material, Parametric and Nonparametric Data Identification Assignment located on your student website.
RES 342 Week 4 Individual Quiz • Prepare to take a quiz on topics covered in previous weeks. • RES/342 Week Two: Two or More Sample Hypothesis Testing • Objective: Apply hypothesis testing to different populations and samples in business research situations. • 5. In conducting research that looks at differences in populations, samples are used for numerous reasons. Using entire populations in a test is difficult, so various sampling techniques are applied. In situations in which the population variance is unknown, the Student t distribution is often used. To use this distribution, certain assumptions must be made. Wh
RES 342 Week 4 Team Assignment Nonparametric Hypothesis Testing Paper • Use the same research question and data from the Learning Team Meeting Two assignment. • Conduct the equivalent, nonparametric test of hypothesis using the five-step process. • Prepare a 1,050- to 1,750-word paper describing the results of the nonparametric hypothesis test. Include the following in your paper:
RES 342 Week 5 Individual Assignment Applying Time Series Methodologies Simulation • Resources: Applying Time Series Methodologies • Complete the Applying Time Series Methodologies simulation. • Prepare a 350-word memo to Myra Reid, the Vice President of Production at Blue Inc. Inform Myra of your forecasts and explain the reasons for your decision.
RES 342 Week 5 Individual E Text • Resource: Ch. 12–14 of Applied Statistics in Business and Economics • Prepare answers to the following assignments: • · Chapter 12 Review # 1 • · Chapter Exercises 12.48 • · Chapter Exercises 12.50 • · Chapter Exercises 13.30 • · Chapter Exercises 13.32
RES 342 Week 5 Team Assignment Regression Paper • Use the numerical data from one of the data sets available through the Data Sets link on your student website. • Develop one research question and formulate a hypothesis which may be tested with linear regression analysis. • Prepare a 1,050- to 1,750-word paper describing the results of the linear regression analysis on your collected data.
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