Reference no: EM132286464

Signature Assignment -

The purposes of the project are to distinguish between quantitative and qualitative data, to demonstrate both an understanding of the appropriate means of displaying, analyzing and interpreting statistics on each type, and the appropriate use of technology to produce a report of the findings.

Project Outline -

1. Pick a meaningful survey topic that can be investigated by asking people in your surroundings (students, coworkers, neighbors, etc.). Identify and explain how the sample was selected. You must survey at least 30 people.

2. Your survey must contain 3 questions:

a. 1 question that has a qualitative (word) response. The question needs to have at least 4 responses. Yes/no questions are not accepted.

b. 2 questions that give a quantitative (numeric) response that you think may have a relationship.

3. You must get your instructor to approve the survey.

4. Collect and compile the data.

The report you submit must include the following:

5. An introduction, explaining what topic is being investigated and how the survey was conducted. Identify and explain how the sample was selected. Is it biased?? If so, why? How could you have taken a better survey?

6. Important: Using SPSS, (Strongly suggest printing labs 2 through 6 for guidance.)

a. For the qualitative data

1. Create a frequency table

2. Create a pie chart and a Pareto chart

3. Find the mode.

b. For the quantitative data. Pick one of your quantitative data questions and create the following tables/graphs.

1. Calculate the mean, median, mode, range, standard deviation, and five number summary.

2. Create a dot plot.

3. Create a box plot.

4. Identify any outliers.

5. Create a histogram using between 5 and 10 classes(Visual Binning).

c. Using both of your quantitative questions, (using lab 6 as your guide), create/answer the following:

1. Determine which one you believe to be the explanatory variable and which is the response variable.

2. Construct a scatterplot

3. Graph the best fit line on the scatterplot

4. Find the correlation coefficient

5. Determine the regression equation of the best fit line

7. Write an overall conclusion. This should include but is not limited to the following points:

a. Look back at your qualitative data, state the mode and any trend in your data.

b. Look back at #6b, discuss the findings. What is your mean and median? Based on this information is your graph skewed? Do you have any outliers and were you surprised by the outliers? What did you find interesting about your findings.

c. Look back at #6c,

i) What did you believe the explanatory and response variables were?

ii) Did your scatterplot show a linear correlation? What was the linear correlation? Is this what you expected?

iii) What is your least squares regression line? What does the slope and y-intercept mean in the case? Are you able to interpret the y-intercept? Why or why not?

iv) What did you find interesting from the results of your two quantitative questions?

v) If you were to do this project over again, would you do anything differently?

vi) Make a prediction about what you expect to happen in the future based on your results.