SOCSCI 101 EXERCISE FOR ESTIMATING THE POPULATION MEAN

AND DETERMINING SAMPLE SIZE 

 

INTRODUCTION

 

This exercise will require you to be creative and do experiments on Excel (you will be lost but that is part of my design for this exercise because in being lost you will learn a number of things).  Our class is not an Excel computer class and, thus, Excel will not be taught. Excel is user-friendly enough to be self-studied through experimentation and through its help command.  In using Excel’s help command, I strongly recommend that you CLICK HELP, THEN CLICK CONTENT AND INDEX, GO TO INDEX AND TYPE “STATISTICAL FUNCTIONS,” AND LOOK FOR THE FUNCTION IN THE STATISTICAL FUNCTION MENU. Utilizing Excel’s search function may not lead to more satisfactory results.

 

Your God-given talents and intelligence will see you through. Learning from your classmates is allowed but copying his or her work is not allowed. To a certain extent I will be able to detect copying of works among you.

 

I.                    EXERCISE PROPER: USE EXCEL COMMANDS DESCRIBED IN II BELOW TO CREATE THE FOLLOWING EXCEL PROGRAMS

 

1.      ESTIMATE THE POPULATION MEAN WHEN THE SAMPLE SIZE IS n>30 AT THE 95% CONFIDENCE LEVEL, SAMPLE MEAN, AND SAMPLE STANDARD DEVIATION. IN THIS PROGRAM, MAKE THE NECESSARY INTRODUCTION AND INSTRUCT USERS TO ENTER THE SAMPLE MEAN, SAMPLE STANDARD DEVIATION, AND SAMPLE SIZE AT PRE-IDENTIFIED CELLS.

 

2.      ESTIMATE THE POPULATION MEAN WHEN THE SAMPLE SIZE IS n<30 AT THE 95% CONFIDENCE LEVEL GIVEN SAMPLE SIZE (AND THEREFORE DEGREES OF FREEDOM) AND SAMPLE STANDARD DEVIATION. IN THIS PROGRAM, MAKE THE NECESSARY INTRODUCTION AND INSTRUCT USERS TO ENTER THE SAMPLE MEAN, SAMPLE STANDARD DEVIATION, AND SAMPLE SIZE AT PRE-IDENTIFIED CELLS.

 

3.      ESTIMATE THE POPULATION PROPORTION AT THE 95% CONFIDENCE LEVEL AND SAMPLE PROPORTION PROVIDED THE SAMPLE IS LARGE ENOUGH (OR THAT n*p hat or n*q hat is at least five) AND WHEN THERE IS A PRELIMINARY SAMPLE.  IN THIS PROGRAM, MAKE THE NECESSARY INTRODUCTION AND THEN INSTRUCT USERS TO ENTER SAMPLE PROPORTION AND SAMPLE SIZE.

 

II.                 HERE ARE THE EXCEL COMMANDS USEFUL FOR THE EXERCISE ABOVE  (AGAIN, FOR DETAILS, CLICK HELP, THEN CLICK CONTENT AND INDEX, GO TO INDEX AND TYPE “STATISTICAL FUNCTIONS,” AND LOOK FOR THE FUNCTION IN THE STATISTICAL FUNCTION MENU)

 

1.      USING NORMSINV

 

This gives us the Z value associated with a probability from minus infinity of Z to the said Z.

 

Syntax: @normsinv(probability)

 

Probability   is a probability corresponding to the normal distribution.

Remarks

·           If probability is nonnumeric, NORMSINV returns the #VALUE! error value.

·           If probability < 0 or if probability > 1, NORMSINV returns the #NUM! error value.

NORMSINV uses an iterative technique for calculating the function. Given a probability value, NORMSINV iterates until the result is accurate to within ± 3x10^-7. If NORMSINV does not converge after 100 iterations, the function returns the #N/A error value.

 

Example:  @norminsinv(0.908789) equals 1.3333

 

For a 95% confidence level, you would use the probability levels 97.5% and 2.5%.

 

2.      USING TINV

 

Returns the inverse of the Student's t-distribution for the specified degrees of freedom.

 

Syntax::  @tinv(probability,degrees of freedom)

 

Probability   is the alpha in the Student's t-distribution. For a 95% confidence level, the probability to use is  0.05.

 

Degrees_freedom   is the number of degrees of freedom to characterize the distribution.

Remarks

·           If either argument is nonnumeric, TINV returns the #VALUE! error value.

·           If probability < 0 or if probability > 1, TINV returns the #NUM! error value.

·           If degrees_freedom is not an integer, it is truncated.

·           If degrees_freedom < 1, TINV returns the #NUM! error value.

·           TINV is calculated as TINV = p( t<X ), where X is a random variable that follows the t-distribution.

 

TINV uses an iterative technique for calculating the function. Given a probability value, TINV iterates until the result is accurate to within ± 3x10^-7. If TINV does not converge after 100 iterations, the function returns the #N/A error value.

 

Example:   @tinv(0.054645,60) equals 1.96

 

 

III.               BASIC FORMAT FOR EACH EXCEL PROGRAM

 

 

1.      PROGRAM FOR _______

 

INTRODUCTION

 

      INSTRUCTIONS

 

      PLEASE ENTER ________:  ________

      PLEASE ENTER ________:

 

      THE ESTIMATE FOR ___ IS _____<____< _____

 

2.   PROGRAM FOR ______

 

 

IV. WHEN YOU HAVE FINISHED THE ABOVE, I MAY ASK YOU TO DO A SIMILAR PROGRAM FOR ESTIMATING THE MINIMUM SIZE OF RANDOM SAMPLE WHICH IS TOPIC 10 OF THE SYLLABUS.

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