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I am working on my 3rd assignment for STAT 200 and having a hard time comprehend what is being asked

src="/qa/attachment/10702759/" alt="Assignment #3_ Inferential Statistics Analysis and Writeup - Template.rtf (1).doc" />. I attached Assignment 3 which i need help with and my past assignment 2, to give you a better idea of what i am working with.STAT200c Dataset (2).docAssignment #2_ Descriptive Statistics Analysis and Writeup - Template (1).rtf

Assignment #2_ Descriptive Statistics Analysis and Writeup - Template (1).rtf

University of Maryland University College
STAT200 - Assignment #2: Descriptive Statistics Analysis and Writeup Identifying Information
Student (Full Name): John Bishop
Class: STAT 200
Instructor:
Date:9/14/19 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: “Martial
Status” Martial Status of head of household Qualitive Variable 3: “FamilySize” Total number of people in family to
include kids Quantitive Variable 4: (Housing) Total amount of annual income Quantitive Variable 5: (Electricity) Total amount of income needed for
Electric Quantitive Data Set Description and Method Used for Analysis:
Results:
Variable 1: Income STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 1 of 7 Numerical Summary.
Table 2. Descriptive Analysis for Variable 1
Variable
Variable: Income n
30 Measure(s) of Central Tendency
Median: Married – 102,263
Not married – 96,439 Measure(s) of Dispersion
Variance: Married – 2.566
Not married: 1.44 Graph and/or Table: Histogram of Income Description of Findings. On average, 60% of Not Married households have a salary range of 96,067 to 97,267 verse 66%
of married households have an average between 95,385 to 104,585. The difference is higher
amongst larger families. Variable 2: Martial Status
STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 2 of 7 Numerical Summary.
Table 3. Descriptive Analysis for Variable 2
Variable n Variable 2: “Martial Status” 30 Measure(s) of Central Tendency
Mode = Married, Not married Measure(s) of Dispersion
N/A Graph and/or Table. Description of Findings.
Mode = Most repeated number. Both married and not married are 15, I chose mode as my measure of
central tendency. The data shows that 50% are married and 50% or not married and the variable is
qualitive. Variable 3: FamilySize
Numerical Summary.
Table 4. Descriptive Analysis for Variable 3
Variable n Measure(s) of Central Tendency Measure(s) of Dispersion STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 3 of 7 Variable 3: “FamilySize” 30 Mean: Married = 2.4
Not married = 3.8 Variance: Married = 0.66
Not married = 1.10 Graph and/or Table. Description of Findings. On average 66% of not married households have a smaller family size between 1-3 kids appose
to 93% of married households have 2-6 kids. STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 4 of 7 Variable 4: (Housing)
Numerical Summary.
Table 5. Descriptive Analysis for Variable 4
Variable N Variable 4: (Housing) 30 Mean/Median
Mean = Married – 18,485
Unmarried – 25,315 St. Dev.
Variance: Married – 2.57
Not Married – 4.93 Graph and/or Table. Description of Findings.
On average not married households, 73% spend 18,359 or more on housing, while 60% of married
households spend 25,314 or more on housing. Variable 5: Electricity
Numerical Summary.
Table 6. Descriptive Analysis for Variable 5
Variable
Variable 5: (Electricity) n
30 Measure(s) of Central Tendency
Mean: Married – 1,463
Not married – 1,400 Measure(s) of Dispersion
Variance: Married – 8.78
Not Married – 0.005 Graph and/or Table.
STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 5 of 7 Description of Findings.
On average not married households, 46% spend 1,461 or more on electricity, while 26% of married
households spend 1,457 or more on electricity. Discussion and Conclusion.
Briefly discuss each variable in the same sequence as presented 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.
The one with the highest expenditure is housing, with a mean of 18,485 for “Married” households and
25,315 for “Not Married” households. The variable with the lowest expenditure is “Electricity” with a
mean of 1,463 for “Married” households and 1,400 for “Not Married” household.
I chose to compare the differences in expenses from married/unmarried households, I assumed that
married households would spend more money on housing and electricity. What I found was that
STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 6 of 7 unmarried households spend more on housing than electricity and married households spend more on
electricity than housing. I would recommend not married households save money in housing, married
couples spend an average of (18%) or $18,485 of their annual salary for housing as unmarried household
spends and average of (26%) or $25,315 of their annual salary for housing. I think this could be due to a
married household having a mortgage verse unmarried household renting. I would recommend the
unmarried household set a goal to lower their housing cost at least 8% if possible. STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template
Page 7 of 7

Assignment #3_ Inferential Statistics Analysis and Writeup - Template.rtf (1).doc

Assignment #3: Inferential Statistics Analysis and Writeup
Identifying Information
Student (Full Name):
Class:
Instructor:
Date: Part A: Inferential Statistics Data Analysis Plan and Computation
Introduction:
Variables Selected:
Table 1: Variables Selected for Analysis
Variable Name in the Data Set Variable Type Variable 1: Socioeconomic Variable 2: Expenditure Variable 3: Expenditure Description Qualitative or Quantitative Data Analysis:
1. Confidence Interval Analysis: For one expenditure variable, select and run the appropriate method
for estimating a parameter, based on a statistic (i.e., confidence interval method) and complete the
following table:
Table 2: Confidence Interval Information and Results
Name of Variable:
State the Random Variable and Parameter in Words: Confidence interval method including confidence level and rationale for using it: State and check the assumptions for confidence interval: Method Used to Analyze Data:
STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup
Page 1 of 4 Find the sample statistic and the confidence interval: Statistical Interpretation: 2. Hypothesis Testing: Using the second expenditure variable (with socioeconomic variable as the
grouping variable for making two groups), select and run the appropriate method for making decisions
about two parameters relative to observed statistics (i.e., two sample hypothesis testing method) and
complete the following table:
Table 3: Two Sample Hypothesis Test Analysis
Research Question: Two Sample Hypothesis Test that Will Be Used and Rationale for Using It: State the Random Variable and Parameters in Words: State Null and Alternative Hypotheses and Level of Significance: Method Used to Analyze Data:
Find the sample statistic, test statistic, and p-value: Conclusion Regarding Whether or Not to Reject the Null Hypothesis: Part B: Results Write Up
Confidence Interval Analysis:
Two Sample Hypothesis Test Analysis:
Discussion: STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup
Page 1 of 4

STAT200c Dataset (2).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-Annual Expenditures
USD-Housing
USD-Electricity
USD-Water Sixth Column
Seventh Column
Eighth Column
Ninth Column Marital Status of Head of Household
Annual Household Income
Age of the Head of Household
Total Number of People in Family (Both Adults
and Children)
Total Amount of Annual Expenditures
Total Amount of Annual Expenditure on Housing
Total Amount of Annual Expenditure on Electricity
Total Amount of Annual Expenditure on Water 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 59 years old, has an annual household income of $94,929, a family size of 2, annual expenditures of
$55,247, and spends $18,483 on housing, $1,451 on electricity, and $546 on water. UniqueID# SE-MaritalStatus SE-income SE-AgeHeadHousehold SE-FamilySize USD-AnnualExpenditures USD-Housing USD-Electricity USD-Water 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 94929
96621
96664
96522
96697
96727
94867
96690
97469
96886
95744
96572
95366
97912
96928
114051
106627
109312
103144
111195
112559
97835
100693
95385
100350
95922
96207
97663
100565
97977 59
54
53
43
49
39
60
57
35
44
52
59
48
49
43
42
56
37
29
30
39
30
42
50
31
55
27
51
18
44 2
2
3
4
2
2
1
2
4
2
4
2
2
1
3
5
3
6
5
5
3
5
2
4
5
3
3
3
3
2 55247
55746
55558
56152
56453
56440
55512
56097
54929
55321
55963
56515
57082
55704
55932
84486
82676
80801
75393
80865
80934
77765
73294
74110
73771
72228
74620
72971
69203
73198 18483
18149
18502
18483
18520
18376
18633
18334
18514
18312
18435
18648
18576
18619
18701
25728
22414
25392
26322
25018
25531
27949
26102
22847
26853
22996
28491
23150
27950
22990 1451
1455
1478
1457
1469
1441
1485
1453
1451
1450
1465
1480
1478
1450
1479
1452
1688
1514
1386
1481
1504
1297
1354
1302
1405
1326
1310
1320
1358
1298 546
540
553
537
545
542
523
535
565
523
555
552
538
553
520
818
709
743
626
796
794
641
597
684
585
674
588
689
626
696

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