STAT200 Assignment #2 - Descriptive Statistics Analysis Writeup -.docx
- 1. STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 3 of 3 University of Maryland University College STAT200 - Assignment #2: Descriptive Statistics Analysis and Writeup Identifying Information Student (Full Name): Class: Instructor: Date: Introduction: Use the same scenario you submitted for the first assignment with modifications using your instructor’s feedback, if needed. Include Table 1: Variables Selected for the Analysis you used in Assignment #1 to show the variables you selected for analysis. Table 1. Variables Selected for the Analysis Variable Name in data set Description Type of Variable (Qualitative or Quantitative) Variable 1: “Income” Annual household income in USD. Quantitative Variable 2: Variable 3:
- 2. Variable 4: Variable 5: Data Set Description and Method Used for Analysis: Results: Variable 1: Income Numerical Summary. Table 2. Descriptive Analysis for Variable 1 Variable n Measure(s) of Central Tendency Measure(s) of Dispersion Variable: Income Median= SD = Graph and/or Table: Histogram of Income (Place Histogram here) Description of Findings. Variable 2: (Fill in name of variable) Numerical Summary. Table 3. Descriptive Analysis for Variable 2 Variable
- 3. n Measure(s) of Central Tendency Measure(s) of Dispersion Variable: Graph and/or Table. (Place Graph or Table Here) Description of Findings. Variable 3: (Fill in name of variable) Numerical Summary. Table 4. Descriptive Analysis for Variable 3 Variable n Measure(s) of Central Tendency Measure(s) of Dispersion Variable: Graph and/or Table. (Place Graph or Table Here) Description of Findings. Variable 4: (Fill in name of variable) Numerical Summary.
- 4. Table 5. Descriptive Analysis for Variable 4 Variable N Mean/Median St. Dev. Variable 4: Graph and/or Table. (Place Graph or Table Here) Description of Findings. Variable 5: (Fill in name of variable) Numerical Summary. Table 6. Descriptive Analysis for Variable 5 Variable n Measure(s) of Central Tendency Measure(s) of Dispersion Variable: Graph and/or Table. (Place Graph or Table Here) Description of Findings. Discussion and Conclusion. Briefly discuss each variable in the same sequence as presented
- 5. in the results. What has the highest expenditure? What variable has the lowest expenditure? If you were to recommend a place to save money, which expenditure would it be and why? Note: The section should be no more than 2 paragraphs. STAT200 Introduction to Statistics Dataset for Written Assignments Description of Dataset: The data is a random sample from the US Department of Labor’s 2016 Consumer Expenditure Surveys (CE) and provides information about the composition of households and their annual expenditures (https://www.bls.gov/cex/). It contains information from 30 households, where a survey responder provided the requested information; it is all self-reported information. This dataset contains four socioeconomic variables (whose names start with SE) and four expenditure variables (whose names start with USD). Description of Variables/Data Dictionary: The following table is a data dictionary that describes the variables and their locations in this dataset (Note: Dataset is on second page of this document): Variable Name Location in Dataset Variable Description Coding UniqueID# First Column Unique number used to identify each survey responder Each responder has a unique number from 1-30 SE-MaritalStatus Second Column Marital Status of Head of Household Not Married/Married
- 6. SE-Income Third Column Annual Household Income Amount in US Dollars SE-AgeHeadHousehold Fourth Column Age of the Head of Household Age in Years SE-FamilySize Fifth Column Total Number of People in Family (Both Adults and Children) Number of People in Family USD-Annual Expenditures Sixth Column Total Amount of Annual Expenditures Amount in US Dollars USD-Food Seventh Column Total Amount of Annual Expenditure on Food Amount in US Dollars USD-Entertainment Eighth Column Total Amount of Annual Expenditure on Entertainment Amount in US Dollars USD-Education Ninth Column Total Amount of Annual Expenditure on Education Amount in US Dollars How to read the data set: Each row contains information from one household. For instance, the first row of the dataset starting on the next page shows us that: the head of household is not married and is 40 years old, has an annual household income of $98,717, a family size of 3, annual expenditures of $56,393, and spends $7,036 on food, $106 on entertainment, and $213 on education.
- 8. 56097 6822 88 252 4 Not Married 96664 53 3 55558 7051 83 295 5 Not Married 96886 44 2 55321 6982 79 312 6 Not Married 96522 43 4 56152 6991 101 237 7 Not Married 97912 49 1
- 9. 55704 6937 97 277 8 Not Married 96727 39 2 56440 7051 93 222 9 Not Married 96928 43 3 55932 6953 105 273 10 Not Married 95744 52 4 55963 7040 105 340 11 Not Married 97681 53 4
- 10. 56124 7097 108 263 12 Not Married 95432 51 1 55120 7089 84 274 13 Not Married 94929 59 2 55247 6948 97 236 14 Not Married 96621 54 2 55746 7000 106 322 15 Not Married 95366 48 2
- 14. 73114 8922 131 463 28 Married 99610 36 2 73550 9513 158 37 29 Married 114505 36 5 78325 11375 60 482 30 Married 106977 56 3 79358 10611 109 311 STAT200: Assignment #1 - Descriptive Statistics Analysis Plan - Template Page 1 of 3
- 15. University of Maryland University College STAT200 - Assignment #1: Descriptive Statistics Data Analysis Plan Identifying Information Student (Full Name): Class: Instructor: Date: Scenario: Please write a few lines describing your scenario and the four variables (in addition to income) you have selected. Use Table 1 to report the variables selected for this assignment. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 1. Variables Selected for the Analysis Variable Name in the Data Set Description (See the data dictionary for describing the variables.) Type of Variable (Qualitative or Quantitative) Variable 1: “Income” Annual household income in USD. Quantitative Variable 2: Variable 3:
- 16. Variable 4: Variable 5: Reason(s) for Selecting the Variables and Expected Outcome(s): Variable 1: “Income” - Variable 2: “ “ - Variable 3: “ “ - Variable 4: “ “ - Variable 5: “ “ - Data Set Description: Proposed Data Analysis: Measures of Central Tendency and Dispersion Complete Table 2. Numerical Summaries of the Selected Variables and briefly explain why you choose those measurements. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 2. Numerical Summaries of the Selected Variables Variable Name Measures of Central Tendency and Dispersion Rationale for Why Appropriate Variable 1: “Income” Number of ObservationsMedianSample Standard Deviation I am using median for two reasons:If there are any outliers or the data is not normally distributed, the median is the best measure of central tendency.The variable is quantitative.
- 17. I am using sample standard deviation for three reasons:The data is a sample from a larger data set.It is the most commonly used measure of dispersion.The variable is quantitative. Variable 2: Variable 3: Variable 4: Variable 5: Graphs and/or Tables Complete Table 3. Type of Graphs and/or Table for Selected Variables and briefly explain why you choose those graphs and/or tables. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables. Table 3. Type of Graphs and/or Tables for Selected Variables Variable Name Graph and/or Table Rationale for why Appropriate? Variable 1: “Income” Graph: I will use the histogram to show the normal distribution of data. Histogram is one of the best plot to show the normal
- 18. distribution of quantitative level data . Variable 2: Variable 3: Variable 4: Variable 5: