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Please helpDrop Downs1. Person doctor french fries fat grams2. Person doctor french fry fat grams3. Categorical or quantitative4. Ho:m1=m2;Ha:m1>m2, Ho:p1>p2;Ha:p110 andn(1-p)>10, conditions are not met

Please helpDrop Downs1. Person doctor french fries fat grams2. Person doctor french fry fat grams3. Categorical or quantitative4. Ho:m1=m2;Ha:m1>m2, Ho:p1>p2;Ha:p110 andn(1-p)>10, conditions are not met by a normal population, conditions are met by normal sample data7. One proportion hypothesis test, one sample mean hypothesis test, to independent sample means hypothesis test, one sample confidence interval8. 0.9159, 0.542, 0.458, 0.00019. fail to reject HO, accept HA, accept HO, reject HO10. There is sufficient evidence to support the amount of fat grams is less than 25 g, there is sufficient evidence to support the mean amount of fat grams is the same as 25 g, there is insufficient evidence to support the mean amount of fat grams is less than 25 g, there is insufficient evidence to support the mean amount of fat grams is the same as 25.

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Who doesn't love French Fries? French Fries are one of my favorite foods, but my doctor has advised me to limit my consumption of total fat intake to 25 grams. Using the 'French Fries' data set, test if the grams of total fat in French Fries meet the criteria of less than 25 grams of total fat recommended by my doctor. Use a 0.05 significance level 1. Identify observational unit [ Select ] 2. Identify the response variable [ Select ] 3. Classify response variable as quantitative or categorical [ Select ] 4. State hypotheses [ Select ] 5. Verify of level [ Select ] 6. Verify conditions are met [ Select ] 7. Name of the hypothesis test used [ Select ] 8. Identify the P-value [ Select ] 9. State decision [ Select ] 10. Conclusion in non-statistical terms [ Select ]

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