****PROTEACH**** INDV PRJT 4
oppurtunityknocks
mktg420_u4ip.zipU4 IP.sav
MKTG420_U4IP.doc
Unit 4 Individual Project 1
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American Intercontinental University
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Project Type: MKTG420 Unit 4 Individual Project
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Abstract
This is a single paragraph, no indentation is required. The next page will be an abstract; “a brief, comprehensive summary of the contents of the article; it allows the readers to survey the contents of an article quickly” (Publication Manual, 2010). The length of this abstract should be 35-50 words (2-3 sentences). NOTE: the abstract must be on page 2 and the body of the paper will begin on page 3.
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Introduction
Remember to always indent the first line of a paragraph (use the tab key). The introduction should be short (2-3 sentences). The margins, font size, spacing, and font type (italics or plain) are set in APA format. While you may change the names of the headings and subheadings, do not change the font.
Store Profiles
This content is from Unit 1 IP, Part 1.
Company Research
This content is from Unit 1 IP, Part 1.
Theory-Based Research on Marketing Segmentation
This content is from Unit 1 IP, Part 2.
Cost-Benefit Analysis of Investing in Segmentation Research
This content is from Unit 1 IP, Part 2.
Results of Focus Group
This content is from Unit 2 DB Main Post.
2 SPSS Frequency Tables
This content is from Unit 2 DB Main Post.
Analysis of Focus Group
This content is from Unit 2 DB Main Post.
Web vs. Store #1
This content is from Unit 2 IP, Part 1.
Web vs. Store #2
This content is from Unit 2 IP, Part 1.
Rating System
This content is from Unit 2 IP, Part 1.
Store #1 Image and Target Market Fit
This content is from Unit 2 IP, Part 2.
Store #2 Image and Target Market Fit
This content is from Unit 2 IP, Part 2.
Most successful store with rationale
This content is from Unit 2 IP, Part 2.
Support for Improvements
This content is from Unit 2 IP, Part 3.
Three Improvements for Store #1
This content is from Unit 2 IP, Part 3.
Three Improvements for Store #2
This content is from Unit 2 IP, Part 3.
Part 1: Research on the Survey
This content is from Unit 3 IP, Part 1.
Research background on the scales
This content is from Unit 3 IP, Part 1.
SERVQUAL samples
This content is from Unit 3 IP, Part 1.
Service Quality and Segmentation
This content is from Unit 3 IP, Part 1.
Chart #1: Gender
INSERT CHART HERE
Description of chart #1: gender.
Insert your written description of the table pasted above.
Chart #2: xx
INSERT CHART HERE
Description of chart #2: xx.
Insert your written description of the table pasted above.
Chart #3: xx
INSERT CHART HERE
Description of chart #3: xx.
Insert your written description of the table pasted above.
Table #4: Factors
INSERT TABLE HERE
Description of table #4: factors.
Insert your written description of the table pasted above.
Null/Hypo, Independent Sample T-Test 1, Decision
From Unit 2 IP, Part 2
Null/Hypo, Independent Sample T-Test 2, Decision
From Unit 2 IP, Part 2
Null/Hypo, Independent Sample T-Test 3, Decision
From Unit 2 IP, Part 2
Null/Hypo, Independent Sample T-Test 4, Decision
From Unit 2 IP, Part 2
Null/Hypo, ANOVA 1, Decision
From Unit 3 IP, part 3
Null/Hypo, ANOVA 2, Decision
From Unit 3 IP, part 3
Null/Hypo, ANOVA 3, Decision
From Unit 3 IP, part 3
Null/Hypo, ANOVA 4, Decision
From Unit 3 IP, part 3
Compare ANOVA & t-test results
From Unit 3 IP, part 3
Hypothesis Test -Correlation #1
Null and alternate hypotheses.
Write out a Null & Alternate Hypothesis (alpha = .05).
The test.
Run the test and paste it in the document
The decision rule.
State the decision rule.
Hypothesis Test -Correlation #2
Null and alternate hypotheses.
Write out a Null & Alternate Hypothesis (alpha = .05).
The test.
Run the test and paste it in the document
The decision rule.
State the decision rule.
Hypothesis Test -Regression #1
Null and alternate hypotheses.
Write out a Null & Alternate Hypothesis (alpha = .05).
The test.
Run the test and paste it in the document
The decision rule.
State the decision rule.
Hypothesis Test -Regression #1
Null and alternate hypotheses.
Write out a Null & Alternate Hypothesis (alpha = .05).
The test.
Run the test and paste it in the document
The decision rule.
State the decision rule.
Compare Correlation, Regression, ANOVA and t-Test Results
From Unit 3 IP, part 3
Findings and Segmentation Applications
You now have used qualitative and quantitative tools to assess service quality and segmentation in the stores. How can a marketing manager use these results to build a segmentation strategy in one of the target stores. Part 3 of the Individual Project will be 1 page in length.
Conclusion
Add some concluding remarks-can be a sentence or two.
References
NOTE: The reference list starts on a new page after your conclusion.
U4 IP SPSS Help.pdf
Rules for Forming Hypotheses A (alternative) hypothesis is a statement of what you believe based on deductive reasoning. The null hypothesis, which is the opposite of the hypothesis, is tested in hopes that it can be REJECTED, thereby implying the other hypothesis can be supported (NOTICE we do not say true, false or proven). In journal articles, if only one hypothesis is shown, it is usually the HYPOTHESIS. We are really interested in the hypothesis, but the rules of statistics dictate that we test the null hypothesis. You only test concepts that are measured by your Surveys (the FACTORS**) A survey is made up of questions. The questions will either measure a demographic (a label describing a person, thing). Examples would be gender, education, age, tenure, etc. OR They are questions that when put together (either averaged or summed) measure an abstract concept…we call this a scale or factor score (The individual portion of the U4 Group Assignment). When writing hypotheses, you do not compare on a single question, but rather a concept or factor/scale. If you measure a single question in a hypothesis for the project, you will get the whole question wrong. Each hypothesis must contain a comparison of one of the factors in your scale. You can compare two different factors or a factor plus a demographic (for example). Wording for Correlations & Regressions: NULL: This is no relationship (correlation) between _____________________ and gender. HYPO: This is a relationship between (correlation) _____________________ and gender.
With correlations and especially regressions, you can have more than one factor compared.
WORDING FOR DECISION RULE…. These are not tests, but words to describe the Reject/Do Not Reject Status p-VALUE approach Given that the sig. (xx) is greater than the alpha (.xx), the NULL cannot be rejected therefore there is no support for the HYPO that (paste HYPO here) OR
Given that the sig. (xx) is less than the alpha (.xx), the NULL is rejected therefore there is support for the HYPO that (paste HYPO here) Let us NOW look for the wording of the decision rule A TOTALLY DIFFERENT SURVEY IS BEING USED…. Given that the sig. xx is less than the alpha of .05, the NULL hypothesis is rejected and therefore there is support for the HYPO that (insert HYPO) Given that the sig. xx is greater than the alpha of .05, the NULL hypothesis is not rejected and therefore there is no support for the HYPO that (insert HYPO) Don’t get fancy and start using words like the HYPO is accepted or is true…just stay with these simple phrases…and remember-there are no absolutes in this HYPO testing game…that is why we use the concept of SUPPORT for a hypothesis.
CORRELATION:
"Flag Significant Correlations"- this is a great tool since it tells you when to reject!! REGRESSION
FYI- when you run a regression, be sure to request an ANOVA table under options. This way you know when to reject!
