Used SPSS for a chi square analysis Tandy's ice cream shop serves chocolate, vanilla, and strawberry ice cream Tandy wants to plan for the future years She knows that on average she expects to purchase 100 cases of chocolate, 75 cases of vanilla, and 25 cases of strawberry (4 3 1) This year, the ice cream sales increased, and she purchased 133 cases of chocolate, 82 cases of vanilla, and 33 cases of strawberry Complete the following steps Open SPSS and create a New DataSet Go to the Variable View tab and type Flavor in the first row and Frequency in the second row Adjust the decimal value to 0 Go to Values in the Flavor row and enter 1 for chocolate, 2 for vanilla, and 3 for strawberry and click OK Go to the Data View tab and under the Flavor column, enter 1 in row 1, 2 in row 2, and 3 in row 3 Under the frequency column, enter 133 in row 1, 82 in row 2, and 33 in row 3 In the Toolbar , click Data , then select Weight Cases Select Weight Cases By , select Frequency , and then click Arrow to send it over to the Frequency Variable box Click OK In the Toolbar , click Analyze , then Nonparametric Tests , then Legacy Dialogs , and then Chi Square Select Flavor and then click Arrow to send to the Test Variable List Under Expected Values , select Values and then enter the following three values in the order 100, 75, and 25 Click OK and copy and paste the output to the Word document Answer this Was Tandy's distribution of proportions the same as expected See below SPSS result Explain NPar Tests Chi Square Test Frequencies Flavor Observed N Expected N Residual Chocolate 133 124 0 9 0 Vanilla 82 93 0 11 0 Strawberry 33 31 0 2 0 Total 248 Test Statistics Flavor Chi Square 2 083 df 2 Asymp Sig 353 a 0 cells (0 0 ) have expected frequencies less than 5 The minimum expected cell frequency is 31 0

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Used SPSS for a chi-square analysis. Tandy's ice cream shop serves chocolate, vanilla, and strawberry ice cream. Tandy wants to plan for the future years.

Used SPSS for a chi-square analysis.

Tandy's ice cream shop serves chocolate, vanilla, and strawberry ice cream. Tandy wants to plan for the future years. She knows that on average she expects to purchase 100 cases of chocolate, 75 cases of vanilla, and 25 cases of strawberry (4:3:1). This year, the ice cream sales increased, and she purchased 133 cases of chocolate, 82 cases of vanilla, and 33 cases of strawberry.

Complete the following steps:

Open SPSS and create a New DataSet.
Go to the Variable View tab and type Flavor in the first row and Frequency in the second row. Adjust the decimal value to 0. Go to Values in the Flavorrow and enter 1 for chocolate, 2 for vanilla, and 3 for strawberry and click OK.
Go to the Data View tab and under the Flavor column, enter 1 in row 1, 2 in row 2, and 3 in row 3. Under the frequency column, enter 133 in row 1, 82in row 2, and 33 in row 3.
In the Toolbar, click Data, then select Weight Cases.
Select Weight Cases By, select Frequency, and then click Arrow to send it over to the Frequency Variable box. Click OK.
In the Toolbar, click Analyze, then Nonparametric Tests, then Legacy Dialogs, and then Chi-Square.
Select Flavor and then click Arrow to send to the Test Variable List.
Under Expected Values, select Values and then enter the following three values in the order: 100, 75, and 25.
Click OK and copy and paste the output to the Word document.
Answer this:Was Tandy's distribution of proportions the same as expected? See below SPSS result. Explain.

NPar Tests Chi-Square Test Frequencies Flavor Observed N Expected N Residual Chocolate 133 124.0 9.0 Vanilla 82 93.0 -11.0 Strawberry 33 31.0 2.0 Total 248 Test Statistics Flavor Chi-Square 2.083 df 2 Asymp. Sig. 353 a. 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 31.0