MKT 312: Survey Analysis Report

jaymudda
SurveyResultsAnalysis.docx

Survey Results (70 points)

In this section, you need to conduct a) descriptive statistics and b) inferential statistics using an excel/

SPSS/SAS/R/Tableau (you are free to select any stat program(s)).

a. Descriptive Statistics (25%)

Write down each question with all choices, and provide the descriptive statics below each

question.

For normal and ordinal level questions, please report the number and % for each category (frequency). If you have "rank order" questions, report the top 3 choices.

For interval and ratio level questions, calculate the mean and standard deviation (round to 2 decimals

places).

Examples:

Q. What is your gender?

1) Male 2) Female

Your report: Male (n=35, 35%), Female (n=55, 55%), Missing data (n=10, 10%)

Q. Do you agree or disagree with the following statement: "I change my behaviors due to my

potential impact on the environment?"

1) Strongly disagree

2) Disagree

3) Neutral

4) Agree

5) Strongly agree

Your report: M=3.78, SD=1.02

Q. What is your age? _______

Your report: M=23.56, SD=0.89

b. Inferential Statistics (45%)

In this section, you need to conduct inferential statistics to test your research topic. Please include:

both correlation and t-test. Keep in mind that all of your analysis should be conducted in a way to test your research topic, and your analysis be THOROUGH enough to make an inference.

For each analysis you conduct, report the type of analysis, the name of variables investigated (e.g. we investigated the relationship between "attitude toward organic product" and "intention to pay premium price" using correlation analysis). Then, report your findings and provide your

interpretation of the results. In case of t-test, attach a screenshot of t-test output obtained from

an excel. If it helps, please use tables to showy our results as follow (optional, you may include as many as tables you need).

How to report correlation test: A correlation test was conducted to examine the relationship between attitude toward organic food and knowledge about organic food. A correlation test confirmed that there is a strong positive correlation between attitude toward organic food and knowledge about organic food (r=.78).

How to report t-test: An independent t-test was conducted to determine if gender (Male [M=3.28 (.89)] vs. Female [M=5.89 (1.01)] affects attitude toward organic products. A result of the independent t-test confirmed that there is a significant difference between two groups, t=-3.85, p=.002.