Select only one of the two options below to complete this Critical Thinking Assignment.
Option 1: Exploring SPSS - A paper
Open the SPSS data file Monthy Customer Analysis CSUGlobal and identify the following data information:
- From the Data View identify the number of observations for this data file.
- From the Variable View identify 1) the number of variables in this dataset and 2) the meaning of variables Quarter and CreditRating. Have these two variables been coded?
- Use the Data View to determine the type of values for each variable. That is, are they categorical/discrete or numerical/continuous variables? For categorical/discrete types, are they Nominal or Ordinal?
- What variable is being used to code the Temperature_Range variable? What will be the value in Temperature_Range for a temperature of 110?
- Why do you think that Quarter is being coded as a categorical variable, even though it is numbers?
- Perform a frequency analysis of the CreditRating variable. Go to "Analyze" to "Descriptive statistics" to "Frequency" menus. Which credit ratings have the highest frequencies?
- Perform a descriptive analysis of the DollarSales variable. Go to "Analyze" to "Descriptive statistics" to "Descriptive" menus. What is the mean and the standard deviation?
- For all other variables, perform either a frequency analysis or a descriptive analysis.
Based on the output, write a brief report describing the distribution of each variable. Statistics should follow general statements in parentheses as supporting evidence.
Examples of reporting descriptive statistical results:
- A majority of the survey respondents are married
- The average income of the respondents is $35,000 with the SD = $8,000. The histogram chart shows that income is skewed to the left.
Copy and paste any data or tables into the paper and label each section clearly. Your well-written paper should be 2-4 pages in length.
Follow APA format
Exploring SPSS - A presentation
Using the option 1 criteria, instead of creating a Microsoft Word document, develop a PowerPoint presentation or use an Internet-based presentation tool such as Prezi or SlideRocket. The presentation must have 8-12 content slides with details in the Notes section. The presentation should clearly describe your data analysis results and conclusions.
- From the Data View, identify the number of observations for this data file.
- From the Variable View, identify 1) the number of variables in this dataset and 2) the meaning of variables Quarter and CreditRating. Have these two variables been coded?
- Use the Data View to determine the type of values for each variable. That is, are they categorical/discrete or numerical/continuous variables? For categorical/discrete types, are they Nominal or Ordinal?
- What variable is being used to code the Temperature_Range variable? What will be the value in Temperature_Range for a Temperature of 110?
- Why do you think that Quarter is being coded as a categorical variable, even though it is numbers?
- Perform a frequency analysis of the CreditRating variable. Go to "Analyze" to "Descriptive statistics" to "Frequency" menus. Which credit ratings have the highest frequencies?
- Perform a descriptive analysis of the DollarSales Variable. Go to "Analyze" to "Descriptive statistics" to "Descriptive" menus. What is the mean and the standard deviation?
- For all other variables, perform either a frequency analysis or a descriptive analysis.
Based on the output, write a brief report describing the distribution of each variable. Statistics should follow general statements in parentheses as supporting evidence.
Examples of reporting descriptive statistical results:
- A majority of the survey respondents are married
- The average income of the respondents is $35,000 with the SD = $8,000. The histogram chart shows that income is skewed to the left.