SOCR Courses 2008 2009 Stat13 1 Lab1

From SOCR
Revision as of 21:22, 20 October 2008 by IvoDinov (talk | contribs) (Histogram Activity)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

Stats 13.1 - Laboratory Activity 1

Histogram Activity

This is an exploratory data analysis SOCR activity that illustrates the generation and interpretation of the histogram of quantitative data. In a nutshell, a histogram of a dataset is a graphical visualization of tabulated frequencies or counts of data within equispaced partition of the range of the data. A histogram shows what proportion of measurements fall into each of the categories defined by the partition of the data range space.

Go to the SOCR Charts (use the Charts tab at the top of the page). Once the page comes up, go to the left side of he page and drag the gray bar to the right.

1. Histogram from Categories and Frequencies

  • In the area on the left, click the arrow next to Bar Charts then XYPlots. Then click on HistogramChartDemo3
  • Click on the DATA tab to view the default data. Notice that the chart requires the user to enter the counts/frequencies of observations within each of the range categories (in this default data case, year).
  • Using the SHOW ALL tab you can see all three (graph, data and mapping) in the same view.
  • Try revising some of the numbers in the second (frequency) column and click UPDATE button to see the effect of these changes on the histogram. Do this several times. Take a SNAPSHOT and print off one new histogram.

2. Simple Histogram from Raw Data

  • Click on HistogramChartDemo
  • Scroll down to find the Bin Size adjustment bar
  • Change the bin size

3. Histogram from Simulated Data

  • Lets first get some data: Go to the Modeler tab at the top of the page. It is best if you open a new page for this.
  • Click on the Data Generation button in the center of the screen. From the drop down bar choose the Normal Distribution and change the number of samples to 20 and the standard deviation to 100. Make sure the Raw Data box on the left is checked.
  • Hit Sample then click on the Data tab to see the data you generated.
  • Copy these data using the Copy button at the top. (select all using Apple+a)
  • Go back to the data section of the histogram chart and replace the current data with the data you just copied. Make sure to use the PASTE button on the left.
  • Click UPDATE CHART
  • Change the bin size smaller and larger and observe how the graph changes
  • Repeat but change the number of samples to 100
  • Take a SNAPSHOT and print off one new histogram

4. Questions

Answer each question fully using appropriate terminology and references to snapshots if appropriate.

1) What is the effect of the width/size of the histogram bin on the shape of the resulting histogram? Would the shape of the histogram change significantly if we alter the bin-size?

2) How do the sample size and bin size interact?

3) Would you expect the shape of the sample histogram to look like the shape of the population distribution the data sample came from?




Translate this page:

(default)
Uk flag.gif

Deutsch
De flag.gif

Español
Es flag.gif

Français
Fr flag.gif

Italiano
It flag.gif

Português
Pt flag.gif

日本語
Jp flag.gif

България
Bg flag.gif

الامارات العربية المتحدة
Ae flag.gif

Suomi
Fi flag.gif

इस भाषा में
In flag.gif

Norge
No flag.png

한국어
Kr flag.gif

中文
Cn flag.gif

繁体中文
Cn flag.gif

Русский
Ru flag.gif

Nederlands
Nl flag.gif

Ελληνικά
Gr flag.gif

Hrvatska
Hr flag.gif

Česká republika
Cz flag.gif

Danmark
Dk flag.gif

Polska
Pl flag.png

România
Ro flag.png

Sverige
Se flag.gif