|
Fundamentals of Statistics Section 95 TI-83 Instructions - Confidence Intervals for the mean (small samples) and 1 proportion Instructor: Pete WildmanFall Semester 1999 |
Confidence Intervals for t test and 1 sample proportions on the TI-83
Constructing confidence intervals for small normally distributed samples with unknown
requires the use of the t-distribution. It is simple to do these problems on the TI-83
EXAMPLE 1: Suppose we randomly select 5 counties from New Jersey and measure their area. Suppose you get the following sample data:
221 329 476 103 362
Do the following
You should see the screen illustrated below:

Since the sample size is small (less than 30) and the population is known to normally distributed you should use a T Interval


EXAMPLE 2: The above example used data - this example uses only the summary statistics
Destructive testing: In many product quality tests you will deliberately destroy the product to find some information about it. If the product is expensive (such as cars or major appliances) you don't want to use a large sample size! Suppose you select a sample of 15 cars and subject them to crash tests and analyze your results for the dollar amount of damage done. If the mean dollar amount of damage is $15,789 with a standard deviation of $4782.50, find a 99% confidence interval for the mean
Do the following




CONFIDENCE INTERVALS FOR PROPORTIONS OF ONE VARIABLE
The calculator makes the construction of the confidence interval for the population proportion very easy! Here is an example:
Suppose 500 students are randomly selected and asked if they own a personal computer. It is found that 135 of them own a personal computer. Find a 95% confidence interval for the true proportion of students who own personal computers
Do the following



