STAT200 - Assignment #2: Descriptive Statistics Analysis and
Writeup
Identifying Information
Student (Full Name):
Class: STAT200
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 Description Type of Variable (Qualitative
data set or Quantitative)
Variable 1: “Income” Annual household income in USD. Quantitative
Variable 2: Marital Status of head Qualitative
Marital Status of household
Variable 3: Family Size Total number of people in family Quantitative
Variable 4: Food Annual expenditure on food Quantitative
in USD
Variable 5: Housing Annual expenditure on housing Quantitative
in USD
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= $9,7575 SD = $5,866
Graph and/or Table: Histogram of Income
(Place Histogram here)
escription of Findings:
For the analysis on the variable of income of the sample population provided I used the median
to find the central tendency of the average annual income of the sample. The median is useful for
quantitative data and to measure central tendencies that might have outliers that could affect the
mean. The sample standard deviation is a common way to measure dispersion from the mean.
In this case the median was found to be $9,7575 when arranging the numbers in order. I then
used Social Science Statistics Calculator to find the standard deviation which yielded a result of $5,866.
By looking at the graph it can be seen that a little over a half of the 30 families studied earn between
$94,000 to $98,000 a year. There seems to be a high variation and that can be explained by the
difference in family sizes which is not represented in this graph.
Variable 2: Marital Status
Writeup
Identifying Information
Student (Full Name):
Class: STAT200
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 Description Type of Variable (Qualitative
data set or Quantitative)
Variable 1: “Income” Annual household income in USD. Quantitative
Variable 2: Marital Status of head Qualitative
Marital Status of household
Variable 3: Family Size Total number of people in family Quantitative
Variable 4: Food Annual expenditure on food Quantitative
in USD
Variable 5: Housing Annual expenditure on housing Quantitative
in USD
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= $9,7575 SD = $5,866
Graph and/or Table: Histogram of Income
(Place Histogram here)
escription of Findings:
For the analysis on the variable of income of the sample population provided I used the median
to find the central tendency of the average annual income of the sample. The median is useful for
quantitative data and to measure central tendencies that might have outliers that could affect the
mean. The sample standard deviation is a common way to measure dispersion from the mean.
In this case the median was found to be $9,7575 when arranging the numbers in order. I then
used Social Science Statistics Calculator to find the standard deviation which yielded a result of $5,866.
By looking at the graph it can be seen that a little over a half of the 30 families studied earn between
$94,000 to $98,000 a year. There seems to be a high variation and that can be explained by the
difference in family sizes which is not represented in this graph.
Variable 2: Marital Status
