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Kelang e. 2 IUUIS, J9 Ulules, 15 Selurus. Question Completion Status: QUESTION 6 4 points Save Answer For which of the following scenarios would an Analysis of Variance (ANOVA) be appropriate? Determining if the distribution of party affiliation (Democrat, Republican, Independent) has changed since the last election Determining if the proportion of the population that are left handed is more than 10% Determining whether Income Level (Low, Middle, High) and Credit Score (Poor, Fair, Good, Excellent) are independent Determining if there is a difference in the average (mean) yields between 4 different varieties of wheat. 4 points Save Answer QUESTION 7 Which one of the following examples involves independent samples i.e. for which scenario is there no natural pairing of observations? For 15 randomly selected food items, the prices advertised in the local newspaper by two competing supermarkets are recorded. A hypothesis test is then performed to see if there is any mean difference in the prices offered by the two supermarkets. A study comparing the yields for two varieties of wheat is conducted. 30 test plots are randomly selected. 15 of those plots are randomly selected to be planted with variety A and the remaining 15 plots are planted with variety B. A study is conducted to compare the effect of a diet plan on weight loss. 100 obese people are randomly selected. All 100 are instructed to follow the diet plan. Their weights are measured before they start the diet and again after they have been on the diet for 6 months. A comparison of delivery times between two pizza restaurants is conducted. At 15 randomly selected times, the same pizza is ordered from each of the two restaurants and the delivery times are recorded. 4 points Save Answer QUESTION 8 The main underlying assumption for Analysis of Variance is The sample variances are all equal The population variances are all different the sample variances are all different incol Close Window Save and Submit Save All Answers

Answer 1

4)

Since the p-value (0.11) is greater than the level of significance (0.05), so we do not have sufficient evidence to reject the null hypothesis.

We conclude that there is not sufficient evidence to conclude that $\mu\neq 100$ .

Hence 3rd option is the correct option.