Inactive Tutor answered 12/10/22
There is really insufficient data here to make an answer. For one, texts vary so while one text may break down non parametric goodness of fit tests into 7 steps, another may break it down into 6. This information is needed to be able to generate a full answer.
Also, the type of test is NOT specified. I suggested based on the data a goodness of fit test as this appears the most proper test. Your text may vary.
Third and most important THERE IS NO DATA!
If we assume a chi-squared distribution goodness of fit test the 7 steps should be
- Step 1: State the Null Hypothesis. Ho: Student ice cream preferences fits previous years distribution
- Step 2: State the Alternative Hypothesis. Ha: Student ice cream preferences do not fit previous years distribution
- Step 3: Set alpha. alpha = .05
- Step 4: Collect Data. [To be done, not given in question. Counts are necessary]
- Step 5: Calculate a test statistic. .Use standard formula χ2=Σ ((Oi - Ei)2 / Ei )
(note expected values are the given percentages for a flavor times the total number of observed/questioned students in the observation sample. This is done for each flavor and compared in the calculator with the observed counts to get a Xsquared value. )
- Step 6: Construct Acceptance / Rejection regions. Quickest was is to use Chi Squared calculator to find upper and lower bound given proper counts to develop expected values as well as observed values.
- Step 7: Based on steps 5 and 6, draw a conclusion about.( if the calculated Xsquare value is less then the lower bound or greater than the upper bound, then the null hypothesis is rejected.