Sharp EL-9600 90

90 Answer Key/STATISTICSUSING THE SHARP EL-9600

SOLUTIONS TO SELECTED ACTIVITIES

2. NUMERICAL DESCRIPTION OF A

ONE-VARIABLE DATA SET

ADDITIONAL PROBLEMS

1. 63.9, 6.1, 5.7, 575, 37033, 9, 55, ...

2. 4.6, 3.7, 3.7, 205, 1545, 45, 1, ...

BLACKLINE MASTERS 2.3-4

ACTIVITY 1

4. 16.3, 2.9, 2.7, 130, 2172, 8, 11, ...

ACTIVITY 2

5. 3.48, 1.7, 100, yes

6. NUMERICAL DESCRIPTION OF A

TWO-VARIABLE DATA SET

ADDITIONAL PROBLEMS

1. 67, 4.8, 4.3, 335, 22539, 5, 62, ...

2. 16.4, 1.2, 1.2, 1018, 16804, 62, 15, ...

BLACKLINE MASTER 6.3

ACTIVITY 1

3. 15.75, 16.75

ACTIVITY 2

2. 3.48, 3.48, yes

7. GRAPHICAL PORTRAYAL OF A

TWO-VARIABLE DATA SET

ADDITIONAL PROBLEMS

1. Possible questions:

a. When does the per capita glass waste

materials begin to decline?

b. What pattern does the per capita glass

waste materials seem to follow?

c. Roughly estimate the per capita glass

waste materials in the year 1990.

2. Possible questions:

a. At which participant’s age does the

largest increase in time to walk the

mile occur?

b. As the participant’s age increases, what

happens to the time it takes the

participant to walk one mile?

c. Roughly estimate the time a 72 year-old

male participant would take to walk the

mile?

BLACKLINE MASTER 7.3

ACTIVITY 1

5. increases

6. a line

7. 136 pounds

8. LINEAR REGRESSIONS

ADDITIONAL PROBLEMS

1. y= -.6x+ 103.1

2. y= 1.006x- 1410.4

BLACKLINE MASTER 8.3

ACTIVITY 1

1. y=1.02x+ 11.86

2. .992

ACTIVITY 2

1. y=.03x+ 41.858

2. .0607

9. OTHER REGRESSIONS AND MODEL OF

BEST FIT

ADDITIONAL PROBLEM

The best fitting regression model (excluding the

cubic and quartic models because the addition

of additional predictors will always increase r2)

is the quadratic model of Y = -.07x2+ 9.26x–

240.52 with a r2value of .6254. The remaining

models and corresponding rvalues were:

exponential .4997

natural exponential. 4997

power .4793

linear .4788

natural log .4601

base ten log .4601

inverse .4411

Contents

Main Applying STATISTICS using the SHARP EL-9600 GRAPHING CALCULATOR David P. Lawrence Southwestern Oklahoma State University ii CONTENTS CHAPTER TOPIC PAGE Page 2 Creation of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 3 Using Blackline Master 1.2 4 Creation of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 5 6 NUMERICAL DESCRIPTION OF A 0NE-VARIABLE DATA SET Chapter two Numerical Description of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 7 8 Using Blackline Master 2.2 Numerical Description of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 9 10 Histogram Representation of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 11 HISTOGRAM REPRESENTATION OF A ONE-VARIABLE DATA SET Chapter three 12 Histogram Representation of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 13 Using Blackline Master 3.2 14 Histogram Representation of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 15 16 OTHER GRAPHICAL PORTRAYALS OF A ONE-VARIABLE DATA SET Chapter four Other Graphical Portrayals of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 17 Using Blackline Master 4.2 18 Other Graphical Portrayals of a One-Variable Data Set/STATISTICS USING THE SHARP EL-9600 19 20 Page 22 Using Blackline Master 5.2 Creation of a Two-Variable Data Set/STATISTICS USING THESHARP EL-9600 23 24 Page 26 NUMERICAL DESCRIPTION OF A TWO-VARIABLE DATA SET Chapter six Page 28 Using Blackline Master 6.2 Numerical Description of a Two-Variable Data Set/STATISTICS USING THESHARP EL-9600 29 Page Numerical Description of a Two-Variable Data Set/STATISTICS USING THESHARP EL-9600 31 32 GRAPHICAL PORTRAYAL OF A TWO-VARIABLE DATA SET Chapter seven Graphical Portrayal of a Two-Variable Data Set/STATISTICS USING THESHARP EL-9600 33 Using Blackline Master 7.2 34 Graphical Portrayal of a Two-Variable Data Set/STATISTICS USING THESHARP EL-9600 35 36 Graphical Portrayal of a Two-Variable Data Set/STATISTICS USING THESHARP EL-9600 37 38 LINEAR REGRESSIONS Chapter eight Linear Regressions/STATISTICS USINGTHE SHARP EL-9600 39 40 Using Blackline Master 8.2 Linear Regressions/STATISTICS USINGTHE SHARP EL-9600 41 42 Linear Regressions/STATISTICS USINGTHE SHARP EL-9600 43 44 OTHER REGRESSIONS AND MODEL OF BEST FIT Chapter nine Other Regressions and Model of Best Fit/STATISTICS USING THE SHARP EL-9600 45 46 Using Blackline Master 9.2 Other Regressions and Model of Best Fit/STATISTICS USING THE SHARP EL-9600 47 Additional Problem 48 STATISTICAL TESTS Chapter ten Statistical Tests/STATISTICS USING THE SHARP EL-9600 49 50 Statistical Tests/STATISTICS USING THE SHARP EL-9600 51 Using Blackline Master 10.2 52 Statistical Tests/STATISTICS USING THE SHARP EL-9600 53 Additional Problem 54 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 55 CONTENTS OF REPRODUCIBLE BLACKLINE MASTERS 1.1 56 Steps for creating a non-weighted one-variable data set 1.2 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 57 Steps for creating a weighted one-variable data set 1.3 58 Activity 1 Creating a non-weighted one-variable data set Activity 2 Creating a weighted one-variable data set 2.1 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 59 Steps for calculating numerical descriptions of a one-variable non-weighted data set 2.2 60 Steps for calculating numerical descriptions of a one-variable weighted data set 2.3 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 61 Activity 1 Calculating the numerical descriptions for a non-weighted one-variable data set 2.4 62 Activity 2 Calculating the numerical descriptions for a weighted one-variable data set 3.1 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 63 Steps for creating a non-weighted data set's histogram 3.2 64 Steps for creating a weighted data set's histogram 3.3 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 65 Activity 1 Creating a non-weighted data set's histogram Activity 2 Creating a weighted data set's histogram 4.1 66 Steps for creating a non-weighted data set's broken-line graph 4.2 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 67 Steps for creating a weighted data set's box-and-whisker chart 4.3 68 Activity 1 Creating a non-weighted data set's broken-line graph Activity 2 Creating a weighted data set's box-and-whisker chart 5.1 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 69 Steps for creating a non-weighted two-variable data set 5.2 70 Steps for creating a weighted two-variable data set 5.3 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 71 Activity 1 Creating a non-weighted two-variable data set Activity 2 Creating a weighted two-variable data set 6.1 72 Steps for calculating numerical descriptions of a two-variable 6.2 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 73 Steps for calculating numerical descriptions of a two-variable 6.3 74 Activity 1 Calculating the numerical descriptions for non- weighted two-variable data set Activity 2 Calculating the numerical descriptions for a weighted two-variable data set Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 75 GRAPHICAL PORTRAYAL OF A TWO-VARIABLE DATA SET 7.1 76 Drawing a scatter diagram of a two-variable data set GRAPHIC PORTRYAL OF A TWO-VARIABLE DATA SET 7.2 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 77 Activity 1 Drawing a scatter diagram of a non-weighted two-variable data set GRAPHICAL PORTRAYAL OF A TWO-VARIABLE DATA SET 7.3 78 Activity 2 Drawing a scatter diagram of a weighted two-variable GRAPHIC PORTRAYAL OF A TWO-VARIABLE DATA SET 7.4 8.1 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 79 Steps for calculating the best-fitting line 8.2 80 Calculating the best-fitting line 8.3 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 81 Activity 1 Calculate and plot the regression line. Activity 2 Calculate and plot the regression line. 9.1 82 Steps for calculating other regression models Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 83 Model of best fit OTHER REGRESSIONS AND MODEL OF BEST FIT 9.2 9.3 84 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 85 Use the data from Blackline Master 9.1. Activity 3 Calculate the inverse regression model. Activity 4 Which regression model fits the best? OTHER REGRESSIONS AND MODEL OF BEST FIT 9.4 10.1 86 Steps for performing a one-small-sample hypothesis test for the population mean 10.2 Blackline Masters/STATISTICS USINGTHE SHARP EL-9600 87 Steps for performing a two-small-sample hypothesis test for the population means 10.3 88 Activity 1 Perform a one-small-sample hypothesis test for the population mean. Activity 2 Perform a two-small-sample hypothesis test for the population means. Keypad/STATISTICS USINGTHE SHARP EL-9600 89 KEYPAD FOR THE SHARP EL-9600 GRAPHING CALCULATOR Equation Editor EZ BS CL ON 90 SOLUTIONS TO SELECTED ACTIVITIES Answer Key/STATISTICS USINGTHE SHARP EL-9600 91