Sharp Explore Statistical Tests with the EL-9600 Calculator

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The first item on the screen, µ>8, is the alternate hypothesis of the statistical test. Supporting the alternate hypothesis in this case would mean "da Bears," on the average, win more than 8 games in a season and thus are a winning ball team. The null hypothesis is not shown on the screen because it is always the same as the alternate except it is an equality (µ=8). The second item on the screen is the observed statistic from the sample (observed t ). From it, the third item on

the screen is calculated and it represents the decision statistic (p value).

Typically in science, the .05 level of significance is used in making decisions. Deviation from this level of significance would need to be defended in a report. A .05 level of significance means that if our observed statistic from the sample falls in the rare 5%, we will reject the null hypothesis and support the alternate hypothesis.

Therefore, if your p value is less than .05 you will reject the null hypothesis and support the alternate hypothesis. In our problem, the p value is .0482 which is less than .05. Our decision is to reject the null hypothesis that µ=8 and support the alternate hypothesis that µ>8. This test clearly shows that "da Bears" average more than 8 wins a season and thus are a winning football team.

If the p value is greater than .05 you would support the null hypothesis that µ=8.

The fourth, fifth and sixth items on the screen show the sample average, sample standard deviation and sample size. On the average, "da Bears" win approximately 9 games a season.

Method of Teaching

Use Blackline Masters 10.1 and 10.2 to create overheads for performing statistical tests. Go over in detail the five parts of a statistical test and the items generated by the calculator.

Next, use Blackline Master 10.3 to create a worksheet for the students. Have the students enter the data points, compute the regression models, and overlay the models and scatter diagram. Use the topics For Discussion to supplement the worksheets.

Statistical Tests/STATISTICS USING THE SHARP EL-9600

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Contents Sharp E L 9 6 0 Statistics Ii Statistics Using the Sharp EL-9600 Contents Creation of a Page Enter StatList Method of Teaching For Discussion Chapter two 1Stats Method of Teaching Using Blackline Master Additional Problems Chapter three Enter Page Save this data set by pressing 2ndF For Discussion Chapter four Enter DEL Quit TraceStat Plot Enter Enter 2ndF Chapter five Touch a Edit List , touch To enter the statistics menu For Discussion Chapter six Page Page 2Stats. Press Page Find the numerical descriptions of the following data sets Chapter seven DEL Enter Source U.S. Environmental Protection Agency Math For DiscussionAdditional Problems Page Linear Regressions Linear Regressions/STATISTICS Using the Sharp EL-9600 Linear Regressions/STATISTICS Using the Sharp EL-9600 Method of Teaching Scattr Additional Problems Other Regressions Touch D REG, touch On the screen, double touch 10 Rgaebx, Method of Teaching Using Blackline Master Additional Problem Statistical Tests Statistical Tests/STATISTICS Using the Sharp EL-9600 Method of Teaching Using Blackline Master Statistical Tests/STATISTICS Using the Sharp EL-9600 For Discussion Contents Reproducible Blackline Masters Creation of a ONE-VARIABLE Data SET Steps for creating a non-weighted one-variable data setDouble touch 1 StoLD, press Steps for creating a weighted one-variable data setActivity 2 Creating a weighted one-variable data set Activity 1 Creating a non-weighted one-variable data setONE-VARIABLE Data SET Numerical Description of a ONE-VARIABLE Data SET Numerical Description of a ONE-VARIABLE Data SET Numerical Description of a ONE-VARIABLE Data SET To view the histogram, press Graph Steps for creating a non-weighted data sets histogramSteps for creating a weighted data sets histogram Activity 2 Creating a weighted data sets histogram Activity 1 Creating a non-weighted data sets histogramOther Graphical Portrayals of a Stat Plot ONE-VARIABLE Data SET Creation of a TWO-VARIABLE Data SET Steps for creating a non-weighted two-variable data setSteps for creating a weighted two-variable data set Activity 2 Creating a weighted two-variable data set Activity 1 Creating a non-weighted two-variable data setNumerical Description TWO-VARIABLE Data SET Quit Stat Numerical Description TWO-VARIABLE Data SET Zoom Graphical Portrayal TWO-VARIABLE Data SETGraphic Portryal of a TWO-VARIABLE Data SET Drawing a scatter diagram of a two-variable data setGraphical Portrayal TWO-VARIABLE Data SET Graphic Portrayal TWO-VARIABLE Data SET Access the data entry screen and delete the old data setSteps for calculating the best-fitting line Linear RegressionsGraph Calculating the best-fitting line Access the data entry screen and delete old dataActivity 2 Calculate and plot the regression line Activity 1 Calculate and plot the regression lineSteps for calculating other regression models Other RegressionsModel of best fit Other Regressions Model of Best FITActivity 2 Calculate the power regression model Activity 4 Which regression model fits the best? Statistical Tests EXE 10.3 Sharp EL-9600 Graphing Calculator Keypad forSolutions to Selected Activities Answer Key/STATISTICS Using the Sharp EL-9600 Teaching Notes
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