Loading in 5 sec....

Improvements in Graphics from 1967 - present at Hope College, PowerPoint Presentation

Improvements in Graphics from 1967 - present at Hope College,

- 64 Views
- Uploaded on

Download Presentation
## PowerPoint Slideshow about ' Improvements in Graphics from 1967 - present at Hope College, ' - justine-noel

**An Image/Link below is provided (as is) to download presentation**

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

### Improvements in Graphics from 1967 - present at Hope College,

Prepared by

Elliot A. Tanis

August, 2009

IBM 1130 Computer Purchased in 1967 College,

- A web site: http://ibm1130.org/
- This computer was used for student projects is statistics. Simulation presented a problem because we could generate only 8,192 “random numbers” before it repeated. And successive pairs of random numbers fell on at most 256 parallel lines.

Examples of pairs of “random numbers” falling on parallel lines.

Pairs of “random numbers” generated by our improved version of a pseudo random number generator.

Graphics were a challenge with the line printer. But Deanna was able to illustrate the CLT empirically

In her independent project report on May 25, 1968, she included an illustration of the Central Limit Theorem using a U-shaped distribution with p.d.f. f(x) = (3/2)x^2, -1 < x < 1. Not only did she do the simulation, but she also wrote some graphics programs to see what was happening. Some of her output from the line printer is included on the next slide.

This example is used to illustrate improvements in graphics.

Here is a graph of the p.d.f. and the FORTRAN program that will do the simulation.

This graph shows output for samples of size 1 to confirm that we are indeed sampling from this U-shaped distribution.

This graph shows the distribution of x-bar when the sample size is 3.

This parent distribution has been used in many presentations throughout my tenure at Hope College, culminating is the use of MAPLE and finding the theoretical p.d.f.

Deanna Gross illustrated the CLT empirically using a U-shaped distribution, March, 1969

For -1 < x < 1,

A plotter is used for the histogram and the N(0,1) p.d.f. is superimposed.

Microcomputer developments U-shaped distribution, March, 1969

- Spring, 1980 – Developed and offered the course “Statistics for Scientists” under the CAUSE grant.

- February 18, 1980: The 10 TRS-80 Model I computers were sold and replaced with 6 TRS-80 Model III computers using a grant from NSF.

TRS-80 graphics: (1984) U-shaped distribution, March, 1969This figure shows the distribution of the sample mean when sampling from a U-shaped distribution for n = 2, 5, and 8.

Moving from TRS-80 to IBM PCs U-shaped distribution, March, 1969

- January, 1985 – “A Computer Based Laboratory for Introductory Statistics” was presented at the MAA Annual Meeting. This was TRS-80 based using BASIC.
- Summer, 1985: David Kraay worked on the “Translation and Adaptation of Statistics Programs to the IBM-PC.”
- January, 1986 – We have laboratory materials for Math 212 using IBM PCs.

IBM PC graphics: U-shaped distribution, March, 1969 Comparison of t and z confidence intervals for the mean. How many rolls of a 20-sided die are needed to observe at least one of its faces twice? Graph compares theoretical and empirical histograms.“Computer Simulations to Motivate and/or Confirm Theoretical Concepts” (1987)

MAPLE U-shaped distribution, March, 1969

The laboratory for mathematical statistics and probability incorporated MAPLE and MINITAB. This manual was published in 1995 by Prentice Hall.

Maple and Minitab continued to influence the mathematical statistics lab

- This second edition was published in 1998.

Here is output from a talk given at the Joint Statistics Meetings in Dallas, 1998. This was prepared using MAPLE V, comparing simulated data and the theoretical p.d.f.

Use Meetings in Dallas, 1998. This was prepared using MAPLE V, comparing simulated data and the theoretical p.d.f.MAPLE to find p.d.f.s of sums of independent random variables. This example uses the U-shaped distribution introduced by Deanna Gross in 1968, finding p.d.f.s of the sums of random samples of sizes 2, 3, 4.

For -1 < x < 1,

The p.d.f. of the sum of a random sample of size 3 from this U-shaped distribution.

Sum of a sample of size 4. U-shaped distribution.

Additional Material U-shaped distribution.

- To see more of this material and some animated output, go tohttp://www.math.hope.edu/tanis/

Download Presentation

Connecting to Server..