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STAT 200 - Assignment #2_ Descriptive Statistics Analysis and Writeup (complete solution)

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University of Maryland University College STAT200 - Assignment #2: Descriptive Statistics Analysis and Writeup Identifying Information Student (Full Name): DeNedra Hodge Class: STAT 200 Instructor: Professor Chen Date: 20 June 2018 Introduction: The sample data was gathered from 30 households chosen randomly from US Department of Labor’s 2016 Consumer Expenditure Surveys. The information provided in the survey were both socioeconomic and expenditure variables that were provided by each household. From the dataset, I plan to learn approximately how much income and expenses the average household incurs. All income and expenses must be gathered for each household in order to get a better picture. 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: “Expenditures” Annual household expenditures USD Quantitative Variable 3: “Housing” Annual household housing costs USD Quantitative Variable 4: “Electricity” Annual household electricity costs USD Quantitative Variable 5: “Water” Annual household water costs USD Quantitative 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 30 Median= 96907 SD = 6402.215 Graph and/or Table: Histogram of Income Description of Findings. From the analysis, we can see that the median is 96907 ad standard deviation is 6402.215. We can see that the standard deviation is high which means there is a high disparity on incomes of the sample. We can also see from the histogram that many families earn an income that ranges from 94 867 and 102 067. Variable 2: Expenditure Numerical Summary. Table 3. Descriptive Analysis for Variable 2 Variable N Measure(s) of Central Tendency Measure(s) of Dispersion Variable: Expenditure 30 Mean = 67 631.5 SD = 12 312.27 Graph and/or Table. Description of Findings. For this variable, we can see that the deviation for the mean is 12 312.5 with the mean as 67 631.5. The deviation from mean is high which shows that most families have a high difference in income. Variable 3: Housing Numerical Summary. Table 4. Descriptive Analysis for Variable 3 Variable n Measure(s) of Central Tendency Measure(s) of Dispersion Variable: Housing 30 Mean = 21684.67 SD = 3463.397 Graph and/or Table. Description of Findings. The mean is 21 684.67 and standard deviation 3463.397. The deviation is less which means that most families spend almost same amount in their annual housing cost. Variable 4: Electricity Numerical Summary. Table 5. Descriptive Analysis for Variable 4 Variable N Mean/Median St. Dev. Variable 4: Electricity 30 Mode: 1478 SD: 102.2936 Graph and/or Table. Description of Findings. From the analysis we see that that the most occurring electric bill is 1478, the standard deviation is 102.2936 meaning the deviation around the mean is low. Variable 5: water Numerical Summary. Table 6. Descriptive Analysis for Variable 5 Variable n Measure(s) of Central Tendency Measure(s) of Dispersion Variable: 30 Median = 554 Sd: 100.8857 Graph and/or Table. Description of Findings. It has a median of 554 and a standard deviation of 100.8857. The deviation from the mean for water coast Is less which means most families use almost same amount of water. Discussion and Conclusion. Based on the information, most families spend about the same amount in housing, electricity and water expenses. It’s also identified that there is a high disparity on incomes and that the majority of household income ranges from 94 867 and 102 067. Additionally, there is a big difference in income for some households. Income From Variable 1: “Income” Variable 2: “Expenditures” Variable 3: “Housing” Variable 4: “Electricity” Variable 5: “Water” 551.0 542.0 548.0 520.0 546.0 555.0 538.0 545.0 552.0 535.0 553.0 540.0 523.0 539.0 523.0 547.0 743.0 814.0 773.0 705.0 719.0 694.0 754.0 620.0 627.0 689.0 767.0 769.0 709.0 768.0 56124.0 56440.0 55120.0 55932.0 55247.0 55963.0 57082.0 56453.0 56515.0 56488.0 55558.0 55746.0 55321.0 56051.0 55512.0 76558.0 80801.0 82699.0 83347.0 73092.0 81419.0 71597.0 83766.0 75996.0 73550.0 72971.0 83448.0 83471.0 82676.0 84002.0 18676.0 18376.0 18391.0 18701.0 18483.0 18435.0 18576.0 18520.0 18648.0 18838.0 18502.0 18149.0 18312.0 18484.0 18633.0 26513.0 25392.0 24949.0 22915.0 23252.0 26991.0 22376.0 22899.0 26283.0 27164.0 23150.0 25679.0 26074.0 22414.0 26771.0 1468.0 1441.0 1458.0 1479.0 1451.0 1465.0 1478.0 1469.0 1480.0 1470.0 1478.0 1455.0 1450.0 1457.0 1485.0 1342.0 1514.0 1503.0 1723.0 1300.0 1421.0 1315.0 1682.0 1326.0 1330.0 1320.0 1511.0 1486.0 1688.0 1457.0 STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 1 of 1

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University of Maryland University College
STAT200 - Assignment #1: Descriptive Statistics Data Analysis Plan



Identifying Information
Student (Full Name): Maulee Patel
Class: STAT 200
Instructor: August G. Roesener
Date: September 2, 2018

Scenario: I am head of a household, who is 56 years old and married. I have also a university degree in
Accounting and one child.

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 Description Type of Variable
Set (See the data dictionary for describing the (Qualitative or
variables.) Quantitative)

Variable 1: “Income” Annual household income in USD. Quantitative

Variable 2: “Age Head Age of the Head of Household. Qualitative
Household”

Variable 3: “Family Size” Total Number of People in Family (Both Adults Quantitative
and Children).

Variable 4: “Food Total Amount of Annual Expenditure on Food. Quantitative
Expenditures”

Variable 5: “Entertainment Total Amount of Annual Expenditure on Quantitative
Expenditures” Entertainment.


Reason(s) for Selecting the Variables and Expected Outcome(s):
1. Variable 1: “Income” – This variable will show the annual income in the household in USD.
2. Variable 2: “Age Head Household” – This variable will show the age of head of household.
3. Variable 3: “Family Size” – This variable will show the size of the family.

STAT200: Assignment #1 - Descriptive Statistics Analysis Plan - Template
Page 1 of 16

, 4. Variable 4: “Food Expenditures” – This variable will show how much is the annual food
expenses for the entire family.
5. Variable 5: “Entertainment Expenditures” – This variable will show how much is the annual
entertainment expenses for the entire family.


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 Rationale for Why Appropriate
Tendency and Dispersion

Variable 1: ● Number of I am using median for two reasons:
“Income” Observations 1. If there are any outliers or the data is not
● Median normally distributed, the median is the
● Sample Standard best measure of central tendency.
Deviation 2. The variable is quantitative.

I am using sample standard deviation for three
reasons:
1. The data is a sample from a larger data
set.
2. It is the most commonly used measure of
dispersion.
3. The variable is quantitative.

Variable 2: “Age Head
Household”

Variable 3: “Family
Size”



STAT200: Assignment #1 - Descriptive Statistics Analysis Plan - Template
Page 2 of 16

, Variable 4: “Food
Expenditures”

Variable 5:
“Entertainment
Expenditures”


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: Graph: I will use the histogram Histogram is one of the best plots to show
“Income” to show the normal distribution the normal distribution of quantitative
of data. level data.

Variable 2: “Age Head I will use the simple tables for
Household” this variable.

Variable 3: “Family Size” I will use the Pie Chart to show Pie Chart is perfect graph for “Family size”
the normal distribution of data. as it will be able to compare the sizes of
family.

Variable 4: “Food I will use the Bar Chart to show
Expenditures” the normal distribution of data.

Variable 5: Graph: I will use the histogram Histogram is one of the best plots to show
“Entertainment to show the normal distribution the normal distribution of quantitative
Expenditures” of data. level data.




University of Maryland University College

STAT200: Assignment #1 - Descriptive Statistics Analysis Plan - Template
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