Need help on Assignment 2, please see attached for information from first assignment.
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Assignment1_DescriptiveStatisticsDataAnalysisPlanTemplate.rtfSTAT200: Assignment #1 - Descriptive Statistics Analysis Plan - Template
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University of Maryland University College
STAT200 - Assignment #1: Descriptive Statistics Data Analysis P lan
Identifying Information
Student Ashley Hopper :
Class: STAT 200-7974
Instructor: John Thomas
Date: 10/30/2019
Scenario:
Head of the household, who is 49 years old and Not Married, annual income is 97,912 and one child, high school diploma.
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
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 of head of household”
Marital status of head of household
Quantitative
Variable 3: “Family size”
Total number of people in family
Quantitative
Variable 4: “Food Expenditures”
Total number of Annual Expenditures on Food
Quantitative
Variable 5: “Entertainment Expenditures”
Total number of Annual Expenditures on Entertainment
Quantitative
Reason(s) for Selecting the Variables and Expected Outcome(s):
Variable 1: “Income” - This variable will show the annual income in the household in USD.
Variable 2: “Marital s tatus of household “- This variable will show the age of head of household.
Variable 3: “ Family size ” - This variable will show the size of the family.
Variable 4: “ Food Expenditures “- This variable will show the annual food expenses for the entire family.
Variable 5 : “ Entertainment Expenditures” - This variable will show 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 Tendency and Dispersion
Rationale for Why Appropriate
Variable 1:
“Income”
- Number of Observations
- 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 of head of household”
· Number of Observations
· Mode
· Measure of dispersion is not applicable to this variable
I am using mode for the following reason:
- The variable is qualitative.
Variable 3:
“Family size”
· Number of Observations
· 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 4:
“Food Expenditures“
- Number of Observations
Median
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 5:
“Entertainment Expenditures”
- Number of Observations
Median
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.
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:
“Marital status of head of household”
Graph: I will use the pie chart to show the distribution of the data.
Easy to visualize when try to compare the size of data.
Variable 3: “Family size”
Graph: I will use a bar graph to show the distribution of the data.
A bar chart is one of the best ways to show the distribution of discrete data.
Variable 4: “Food Expenditures“
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 5: “Entertainment Expenditures”
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.
