Notation and Formulae
                      Remember that the CI format is:
                      (point estimate - EB, point
                        estimate + EB) 
                      where EB is the margin of error or error bound.
                      In a CI for a single population mean where the
                        population standard deviation is known, the
                        point estimate is the sample mean and the error
                        bound is the error bound for the mean. So, the
                        CI has the format:
                        
 
                      Even though we use technology to calculate the
                        CI, we will discuss how we get EBM. 
                      Remember that the distribution of sample means
                        is approximately normal by the Central Limit
                        Theorem (CLT). The standard deviation for sample
                        means is the standard error of the mean:
                        
                      
                      To get the error bound for the mean (EBM), we
                        multiply the standard error of the mean by a
                        z-score that depends on the confidence level.
                        
 
                      To get the idea, suppose CL = 0.95. You can
                        find the z-score that corresponds to this CL by
                        using a normal probability table or by using
                        technology. Notice that z corresponds to the
                        upper number of the CI and -z corresponds to the
                        lower number of the CI. 
                        
 
                      The two white areas under the curve in the
                        graph are called "tails." Since the area under
                        the curve is 1, each tail must have an area
                        equal to 0.025. The area to the left of -z is
                        0.025. Remember that z-scores follow a normal
                        distribution with a mean of 0 and a standard
                        deviation of 1. We can find -z by using TI-83 or
                        TI-84 calculator invNorm function. Use
                      STAT TESTS 3:invNorm(.025, 0,
                        1). 
                      This gives us -z = -1.96 (to 2 decimal places).
                        So, z = 1.96 and
                        
  
                      NOTE: The error bound is always
                          positive. We just subtract it from and add it
                          to the point estimate to get the CI.
                      
                      Confidence Interval
                        Problems Using TI-83 or TI-84 calculators
                      Example: In today's world, teenagers like to
                        use instant messaging on the internet to
                        communicate with their friends. In a sample of
                        100 teenagers, the average amount of time they
                        spent per day using instant messaging was 2
                        hours. Suppose the standard deviation is known
                        to be 1 hour. Construct a 95% CI for the
                        population mean time spent per day by teenagers
                        using instant messaging on the internet.
                        Interpret the CIl.
                      The important numbers are the
                      
                        - sample size of 100,
- sample mean 2 hours,
- population standard deviation 1 hour,
- 95% CI.
The answer is (1.804, 2.196) using TI-83 or
                        TI-84 calculators. 
                      Use STAT TESTS 7:Z interval. 
                      
                        - Inpt:Stats
- s: 1
- xbar: 2
- n:100
- C-Level: 95
- Calculate 
We can interpret the CI in two ways:
                      
                        - We are 95% confident (or sure) that the
                          population mean of times spent by teenagers
                          per day using instant messaging on the
                          internet is between 1.8 hours and 2.2 hours
                          (rounded to 1 decimal place).
- If we constructed many of these CIs, 95% of
                          them would contain the population mean of
                          times spent by teenagers per day using instant
                          messaging on the internet.
 Example
                      The
                          following example is concerned with
                        statistics exams scores where the population
                        standard deviation is known. This example shows
                        you the TI-83 keypad and the keystrokes. Close
                        the window when you are finished viewing the
                        example. 
                      
                      Think About It
                      
                        - What distribution do you use for a CI for a
                          mean when the population standard deviation is
                          known?
- If we increase the sample size and keep all
                          other numbers the same, does the CI get larger
                          or smaller?
- If we know the population standard deviation
                          and we can calculate the sample standard
                          deviation, which standard deviation would we
                          use in the calculation of the confidence
                          interval?
Please continue to the next section of this
                        lesson.