Question
show all work please
2. Not all hotdogs have the same calories. Table 31.6 contains calorie data on a random sample of Beef, Poultry, and Veggie d
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2. Not all hotdogs have the same calories. Table 31.6 contains calorie data on a random sample of Beef, Poultry, and Veggie dogs. (One extreme outlier for Veggie dogs was omitted from the data.) Does the mean calorie count differ depending on the type of hotdog? You first encountered this topic in Boxplots. Calories Beef Poultry Veggie 110 110 130 130 140 150 160 160 170 170 175 180 180 180 190 190 190 200 210 230 60 60 60 70 70 70 40 45 45 45 50 50 57 60 60 70 80 80 81 90 95 100 100 110 90 100 100 100 110 110 110 120 130 140 150 Table 31.6. Calorie content of hotdogs. a. Verify that the standard deviations allow the use of ANOVA to compare population means. b. Use technology to run an ANOVA. State the value of the F-statistic, the degrees of freedom for F, the p-value of the test, and your conclusion. c. Make boxplots that compare the calorie data for each type of hot dog. Add a dot to each boxplot to mark the sample means. Do your plots help confirm your conclusion in (b)?
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Answer #1

2)

data

Beef Poultry Veggie
110 60 40
110 60 45
130 60 45
130 70 45
140 70 50
150 70 50
160 80 55
160 90 57
170 90 60
170 100 60
175 100 70
180 100 80
180 110 80
180 110 81
190 110 90
190 120 95
190 120 100
200 130 100
210 140 110
230 150

Anova Result

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Beef 20 3355 167.75 1022.302632
Poultry 20 1940 97 737.8947368
Veggie 19 1313 69.10526316 494.4327485
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 101620.4605 2 50810.23026 67.19733235 1.31502E-15 3.161861165
Within Groups 42343.53947 56 756.1346335
Total 143964 58

a)
the largest sample SD is not larger than twice the smallest.

here largest variance is less than 4 times the smallest


b)
F = 67.1973
df1 = 2
df2 = 56

p-value = 0
p-value < alpha
we reject the null hypothesis
we conclude that there is significant difference

c)

Veggie L.Beef Poultry

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