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<pre class="ql-syntax">I need <span class="hljs-keyword">help</span> writing

a scenario topic <span class="hljs-keyword">using</span> statics <span class="hljs-keyword">including</span> four variables </pre>

Assignment #1_ Descriptive Statistics Data Analysis Plan Template.rtf

University of Maryland University College
STAT200 - Assignment #1: Descriptive Statistics Data Analysis Plan Identifying Information
Student (Full Name): Yesenia Vasquez Martinez
Class: Statistics 200 –Assignment #1: Descriptive statistics data analysis plan
Instructor:tdr
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 Variable 1: “Income” Description
(See the data dictionary for describing the
variables.)
Annual household income in USD. Variable 2: Type of Variable
(Qualitative or
Quantitative)
Quantitative Quantitative
Total Amount of Annual Expenditure on Food Variable 3:
Variable 4:
Marital Status of Head of Household
Variable 5: Qualitative
Quantitative Reason(s) for Selecting the Variables and Expected Outcome(s):
1. Variable 1: “Income” -Income is the upper limit of the budget to be determined, therefore, it is an important factor in helping the household establish the budget accordingly.
The higher the income, the higher the planned budget will be, and the lower income will
restrict the budget. STAT200: Assignment #1 - Descriptive Statistics Analysis Plan - Template
Page 1 of 3 2. Variable 2: “Food “- Food is an essential expense and a budget cannot be completed without including the expense related to this factor. Therefore, food becomes an essential part
of budget planning for each household
3. Variable 3: “ “ - 4. Variable 4: “Marital status “ -The marital status of the head of the family allows us to know the routine expenses. A married head has higher expenses compared to a single person.
Therefore, it is one of the prerequisite factors that affect family budget planning.
5. Variable 5: “Family size “-The purpose of the data is to plan the budget for the home. More family members would be more expenses, therefore it is important to know the number
of family members. 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
Variable 1:
“Income” Measures of Central
Tendency and Dispersion


● Number of
Observations
Median
Sample Standard
Deviation Rationale for Why Appropriate I am using median for two reasons:
1. If there are any outliers or the data is not normally
distributed, the median is the best measure of
central tendency.
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. STAT200: Assignment #1 - Descriptive Statistics Analysis Plan - Template
Page 2 of 3 Variable 2:
Marital Status of Head of
Household
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 distribution of quantitative level data . Variable 2:
Variable 3:
Variable 4:
Variable 5: STAT200: Assignment #1 - Descriptive Statistics Analysis Plan - Template
Page 3 of 3

STAT200f Dataset (1).doc

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
SE-Income
SE-AgeHeadHousehold
SE-FamilySize Second Column
Third Column
Fourth Column
Fifth Column Not Married/Married
Amount in US Dollars
Age in Years
Number of People in Family USD-Food
USD-Meat
USD-Bakery
USD-Fruits Sixth Column
Seventh Column
Eighth Column
Ninth Column Marital Status of Head of Household
Total Annual Household Income
Age of the Head of Household
Total Number of People in Family (Both Adults
and Children)
Total Amount of Annual Expenditures on Food
Total Amount of Annual Expenditure on Meat
Total Amount of Annual Expenditure on Bakery
Total Amount of Annual Expenditure on Fruit Amount in US Dollars
Amount in US Dollars
Amount in US Dollars
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 39 years old, has an annual household income of $96,727, a family size of 2, annual food
expenditures of $7,051, and spends $904 on meat, $345 on bakery items, and $759 on fruit. UniqueID# SE-MaritalStatus SE-Income SE-AgeHeadHousehold SE-FamilySize USD-Food USD-Meat USD-Bakery USD-Fruits 1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30 Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Not Married
Married
Married
Married
Married
Married
Married
Married
Married
Married
Married
Married
Married
Married
Married
Married 96727
95366
95432
96886
97469
95744
98717
94929
97912
96244
96621
97681
96697
96522
96664
95208
106622
95801
97611
97835
107235
101890
107511
95385
106627
107795
107338
105601
96362
99610 39
48
51
44
35
52
40
59
49
56
54
53
49
43
53
52
49
54
44
30
38
48
56
50
56
51
67
19
37
36 2
2
1
2
4
4
3
2
1
4
2
4
2
4
3
4
4
3
5
5
6
2
3
4
3
3
2
4
2
2 7051
7130
7089
6982
6900
7040
7036
6948
6937
7073
7000
7097
6971
6991
7051
8970
10865
9395
9037
8671
10856
11089
10682
9101
10363
11278
11710
10330
8789
9513 904
904
900
917
915
906
889
899
913
918
911
921
898
922
906
1116
1554
1211
1147
1062
1322
1481
1428
1179
1561
1408
1533
1377
983
721 345
344
350
359
335
353
348
345
353
338
344
341
357
349
346
452
534
449
449
390
549
541
564
450
585
544
541
568
355
367 759
760
765
752
773
753
768
771
770
773
768
767
779
758
772
979
1240
1018
994
1005
1156
1157
1169
1001
1178
1231
1324
1098
1146
1025

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