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Graphing Data in SPSS, Lab Reports of Statistics

Purdue UniversityStatistics

Instructions and guidance for a lab assignment on graphing data using spss software. The lab covers creating various types of graphs, including bar graphs, histograms, and pie charts, to visualize and analyze a dataset related to physical fitness, concentration, and health-related quality of life in primary school-age children. Step-by-step instructions for completing the lab tasks, such as filling in a chart to identify the appropriate graph type for different variables, creating and customizing graphs, and interpreting the distribution of the data. Additionally, the lab requires students to open and analyze a dataset provided in a .txt format, calculating the mean and standard deviation for the dataset. This lab assignment is designed to help students develop their data visualization and analysis skills using spss, which are valuable skills for various fields of study and research.

Typology: Lab Reports

2022/2023

Uploaded on 03/03/2023

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Name: Deep Harshad Prajapati
T.A./class time: Yujie Chen, 1:30-2:20 PM Friday
Lab 3: Graphing Data
NOTE: SPSS outputs are necessary to show full completion of the lab. Please paste all SPSS outputs into
your lab report and submit the completed reports including all requested tables and graphs via
Brightspace (under the "Lab" folder) by 11:50 pm Friday. Two points will be deducted for each
SPSS requested output that is not included in the submitted lab document.
Dataset: This lab uses the dataset (FitnessChildren), located on Brightspace under Lab in the
Datasets submodule. Instructions for opening the dataset in SPSS are found as follows.
SPSS installed on a computer: Reference page 4 of the SPSS Instruction Manual
SPSS running remotely: Reference the slide “Opening your Dataset Remotely in SPSS
via Go Remote” in the document “SPSS using Citrix access guidelines” on Brightspace.
This dataset contains information collected from 150 subjects in Germany who participated in a
study examining the associations among physical fitness, concentration, and health-related
quality of life in primary school-age children.
1. (5 points) Fill in the chart below. In the second column, record whether the variable is quantitative
or categorical, based on the data in the lab dataset. In the third column record whether a bar graph
or a histogram would be appropriate for showing the distribution of the variable.
Variable Name Type of variable Type of graph
Height_m Quantitative Histogram
Sex Categorical Bar Graph
BMI Quantitative Histogram
Weight_group Categorical Bar Graph
VO2max Quantitative Histogram
In the questions below, you will be creating different graphs. Check SPSS Instruction Manual pages 7
and 8 for a reference. Insert all graphs into this Word document. Label each graph clearly in Word.
2. (2 points) Using SPSS, create a bar graph to show the counts of the various weight classes in the
sample (Weight_group). Do not edit this graph. Copy and paste the graph here.
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Download Graphing Data in SPSS and more Lab Reports Statistics in PDF only on Docsity!

Name: Deep Harshad Prajapati

T.A./class time: Yujie Chen, 1:30-2:20 PM Friday

Lab 3: Graphing Data NOTE: SPSS outputs are necessary to show full completion of the lab. Please paste all SPSS outputs into your lab report and submit the completed reports including all requested tables and graphs via Brightspace (under the "Lab" folder) by 11:50 pm Friday. Two points will be deducted for each SPSS requested output that is not included in the submitted lab document.

Dataset : This lab uses the dataset ( FitnessChildren ), located on Brightspace under Lab in the

Datasets submodule. Instructions for opening the dataset in SPSS are found as follows.

 SPSS installed on a computer: Reference page 4 of the SPSS Instruction Manual

 SPSS running remotely: Reference the slide “Opening your Dataset Remotely in SPSS

via Go Remote” in the document “SPSS using Citrix access guidelines” on Brightspace.

This dataset contains information collected from 150 subjects in Germany who participated in a

study examining the associations among physical fitness, concentration, and health-related

quality of life in primary school-age children.

1. (5 points) Fill in the chart below. In the second column, record whether the variable is quantitative

or categorical , based on the data in the lab dataset. In the third column record whether a bar graph or a histogram would be appropriate for showing the distribution of the variable. Variable Name Type of variable Type of graph

Height_m Quantitative Histogram

Sex Categorical Bar Graph

BMI Quantitative Histogram

Weight_group Categorical Bar Graph

VO2max Quantitative Histogram

In the questions below, you will be creating different graphs. Check SPSS Instruction Manual pages 7 and 8 for a reference. Insert all graphs into this Word document. Label each graph clearly in Word.

2. (2 points) Using SPSS, create a bar graph to show the counts of the various weight classes in the

sample (Weight_group). Do not edit this graph. Copy and paste the graph here.

3. (2 points) Using your previous bar graph from question 2 and chart editor in SPSS, (i) sort the bars

from shortest to tallest, (ii) change the color of the bars, and (iii) change the pattern of the bars. Copy and paste this altered bar graph here.

display the category labels on the pie chart, once the Properties window pops up, you need to click on the “Data Value Labels” tab and move the variable name into the displayed box).

1. (2 points) Make a histogram of VO2max for the subjects and set the bin number (number of

intervals) to 7. Copy and paste the histogram here.

2. (3 points) In each of the following questions, choose the correct answers about the distribution you

graphed in question 6. i) Is the data shown in the histogram symmetric , skewed left , or skewed right? a. Symmetric (Fairly) b. Skewed left c. Skewed right ii) Is the graph Unimodal , bimodal , or multimodal? a. Unimodal b. Bimodal c. Multimodal iii) Based only on the histogram and your previous answers about the shape of the distribution, what are the relative positions of the mean and median? (Do not calculate the actual mean and median!) a. The mean is greater than the median. b. The mean and the median are about the same value. c. The mean is less than the median.