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 "Income" and "Marital Status" has already been completed and can be used as a guide for completing information on the remaining variables.In the subsequent section, explain why you selected each variable as well as the expected outcome.

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: "Marital Status"	Married or Not Married	Qualitative
Variable 3:
Variable 4:
Variable 5:

Reason(s) for Selecting the Variables and Expected Outcome(s):

1. Variable 1: "Income" -
2. Variable 2: "Marital Status" -
3. Variable 3: " "-
4. Variable 4: " "-
5. Variable 5: " "-

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"	Median Sample 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. 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: "Marital Status"
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. Note: Do NOT simply copy this for the remaining quantitative variables. Make a logical selection based on the data type.

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: Histogram	A histogram is one of the best plots available to visually depict the distribution of quantitative level data.
Variable 2: "Marital Status"
Variable 3:
Variable 4:
Variable 5:

STAT200 Introduction to Statistics

Part 1: Descriptive Statistics Data Analysis Plan

Part 1: Prepare Descriptive Statistics Data Analysis Plan

Before conducting any statistical analyses, researchers develop a plan for how they will analyze their data to answer their research questions. The purpose of this assignment is to provide an experience developing a descriptive statistics analysis plan. Note: This first part is a plan only; no statistics will be calculated or graphs created.The second part will involve carrying out the plan, after receiving feedback from your instructor.

There are 3 steps (some with several "tasks") that constitute Part 1:

Step #1:Review the STAT200 data set file. (Note: This data set will be used for all three parts of this term project).

The provided data set is a subsample of 31 data points from the US Department of Labor's Consumer Expenditure Surveys (CE) and provides information about the composition of households and their annual expenditures (https://www.bls.gov/cex/). Detailed information on the sample and variables is included with the data set file; please carefully review this information to familiarize yourself with the data(Note: This information will be used in Part 2 to describe the dataset).

Step #2:Develop descriptive statistics data analysis plan.

Task 1:Develop a hypothetical "scenario".Imagine that you are head of a household and have to determine a household budget plan based on the data available from the dataset.Please note that this "scenario" you describe is just to explain why you might be motivated to do this analysis. It does NOT have to be correct and/or true.

As an example (note that this is an example; the data variables may not be the same as in our data set. You MUST create the scenario using the variables in our data set):

"I am a 35 year old married parent (head of household) with one child. I earn $97,000 per year, and my annual total expenditures are $60,000; $20,000 of which goes to housing, $1,500 of it goes to the electric bill, and $600 is spent on water bills. I am curious to see how my income and expenditures relate to other people in the United States."

(NOTE: You do not need to put your actual income or any expenditure values in here--that is personal information that I do not need to know). A key point here is to ensure you use variables from the data set that accompany our section.

Task 2: Select variables for analysis that match the scenario developed in Task 1.The data set provides information on household consumption; there are socioeconomic variables and expenditures variables. The socioeconomic variable names start with "SE-" and the expenditure variable names start with a "USD;" all expenditures are in US dollars.

• All students must use INCOME as one variable.
• Select two additional socioeconomic variables(one qualitative: the only one is MARITAL STATUS) and one quantitative (either Age of Head of Household or Family Size)
• Select two expenditure variables from ANNUAL EXPENDITURES, FOOD, HOUSING and TRANSPORTATIONfor your analysis that match the scenario you developed for Task 1.

For instance, using the example scenario of a 35 year old single parent with one child, you could select "income," "marital status," and "age of head of household" as socioeconomic variables and then pick two household expenditure items (such as "entertainment" and "education") to show the distribution of costs and compare that with your income.

When selecting variables, think about the following three questions:

• Why am I choosing these variables?
• What interests me about these variables?
• What do I think will be the outcome?

Answer the above questions in the section on the template labeled: "Reason(s) for Selecting the Variables and Expected Outcome(s):".

Task 3:Determine appropriate measures of central tendency and dispersion for the selected variables. For each quantitative variable, select at least onemeasure of central tendency andat least onemeasure of dispersion (see below table for list of measures). For the qualitativevariable (Marital Status), select onemeasure of central tendency.

When determining the measures of central tendency and dispersion, think about what is appropriate given the level of measurement and type of variable. Recommend referring to the text and information posted in our LEO classroom to help with this task (Note: you will use this information to provide a rationale for your choice of measures).

Measures of Central Tendency:

• Mean
• Mode
• Median

Measures of Dispersion:

• Range
• Sample Standard Deviation
• Sample Variance

Task 4: Determine appropriate graph and/or table for each of the selected variables. Select onegraph ortable for each variable (Please see below table for list of graphs and tables). When determining the graphs and tables, think about what is appropriate given the level of measurement and type of variable. Recommend referring to the text and information posted in our LEO classroom to help with this task (Note: you will use this information to provide a rationale for your choice of graphs and/or tables).

Types of Graphs:

• Pie Chart
• Bar Chart
• Histogram
• Box and Whisker Plot

Types of Tables:

• Frequency Table
• Relative Frequency Table
• Grouped Frequency Table

Step #3:Complete the "Part 1: Descriptive Statistics Data Analysis Plan Template."Remember, you will not be conducting any statistical analysis, drawing any graphs, or compiling any tables for the first assignment. Rather, you need to wait for feedback from your instructor on this part and use that feedback to complete Part 2 of the Term Project.

In summary, here are the main components for this part:

Identifying Information. Fill in information on name, class, instructor, and date.

Scenario. In this section, briefly(2-3 sentences) describe the scenario you developed in Step #2, Task 1.

Complete Table 1: Variables Selected for the Analysis.Enter information the variables selected for analysis in Step #2, Task 2. For each selected variable be sure to include its: name as listed in the data set, description, and variable type.

Reason(s) for Selecting the Variables and Expected Outcome(s):In this section, for eachselected variable, please answer the following questions:

Why did I choose this variable?

What interests me about this variable?

What do I think will be the outcome?

Complete Table 2. Numerical Summaries of the Selected Variables.Enter information on selected measures of central tendency and dispersion for each selected variable. Be sure to 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.

Complete Table 3. Type of Graphs and/or Tables for Selected Variables.Enter information on selected graph and/or table for each selected variable. Be sure to brieflyexplain 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.

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 31 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
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-AnnualExpenditures	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-Housing	Eighth Column	Total Amount of Annual Expenditure on Housing	Amount in US Dollars
USD-Transport	Ninth Column	Total Amount of Annual Expenditure on Transportation	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 for the first household in the sample: the head of household is not married and is 35 years old, has an annual household income is $97,469, has a family size of 4, annual expenditures of $54,929, and spends $6,900 on food, $18,514 on housing, and $145 on transportation.

UniqueID#	SE-MaritalStatus	SE-Income	SE-AgeHeadHousehold	SE-FamilySize	USD-AnnualExpenditures	USD-Food	USD-Housing	USD-Transport
1	Not Married	97469	35	4	54929	6900	18514	145
2	Not Married	97912	49	1	55704	6937	18619	152
3	Not Married	96697	49	2	56453	6971	18520	136
4	Not Married	96653	51	4	56488	6943	18838	124
5	Not Married	96664	53	3	55558	7051	18502	168
6	Not Married	95744	52	4	55963	7040	18435	146
7	Not Married	94929	59	2	55247	6948	18483	133
8	Not Married	96928	43	3	55932	6953	18701	145
9	Not Married	97681	53	4	56124	7097	18676	134
10	Not Married	96244	56	4	56051	7073	18484	141
11	Not Married	96886	44	2	55321	6982	18312	153
12	Not Married	96727	39	2	56440	7051	18376	120
13	Not Married	96690	57	2	56097	6822	18334	135
14	Not Married	96572	59	2	56515	7179	18648	123
15	Not Married	98717	40	3	56393	7036	18389	114
16	Married	106292	57	4	82299	10983	23063	132
17	Married	95801	54	3	73798	9395	23155	151
18	Married	95385	50	4	74110	9101	22847	211
19	Married	95865	46	1	74789	9321	22621	168
20	Married	109312	37	6	80801	10564	25392	58
21	Married	114051	42	5	84486	10820	25728	167
22	Married	110651	58	4	83766	11226	22899	113
23	Married	107338	67	2	83651	11710	21893	47
24	Married	101829	45	4	82385	10821	22409	121
25	Married	102244	34	4	74687	8735	27964	60
26	Married	113558	31	5	79861	10346	25006	141
27	Married	100947	35	4	73973	8455	26783	36
28	Married	107369	66	2	83441	11724	23174	82
29	Married	106894	51	5	81585	11360	22396	162
30	Married	97769	47	5	73950	9035	22867	202
31	Married	98885	45	4	57795	9653	23400	152