The statistic software output for this problem is:
t = 0.985
P-value = 0.1728
At 5% level of significance
P-value > 0.05
Fail to reject the null hypothesis .
There is not good evidence to conclude that the mean sugar content higher than 0.3
Different cereals are randomly selected and the sugar content (grams of sugar per gram of cereal)...
4. Different cereals are randomly selected and the sugar content (grams of sugar per gram of cereal) is obtained for each cereal. The results are given below: 0.03, 0.24, 0.3, 0.47, 0.43, 0.07, 0.47, 0.13, 0.44, 0.39, 0.48, 0.17, 0.13, 0.09, 0.45, 0.43, 0.21, 0.20, 0.26, 0.29, 0.27, 0.33, 0.21, 0.22, 0.19, 0.20, Do the data support the claim that the average sugar content per gram of cereal does not exceed 0.27 grams? Use 95% confidence first and then use...
The data below shows the sugar content in grams of several brands of children's and adults' cereals. Create and interpret a 95% confidence interval for the difference in the mean sugar content, mu Subscript Upper C Baseline minus mu Subscript Upper AμC−μA. Be sure to check the necessary assumptions and conditions.(Note: Do not assume that the variances of the two data sets are equal.) Full data set Children's cereal: 43.8 comma43.8, 59.2 comma59.2, 48.2 comma48.2, 44.7 comma44.7, 53 comma53,...
10. From a sample of 30 randomly selected sugar-cane farms, the gross value of the sugar cane (in $1000's) was recorded. 28 221 85 12 130 23 65 65 63 47 147 52 50 101 281 49 77 159 56 87 98 161 83 81 101 98 134 38 68 44 Is there sufficient evidence to conclude that the median gross value of the sugar cane differs from 60 thousand dollars? (α = 0.10)
Suppose the following data are selected randomly from a population of normally distributed values. 41 51 43 48 43 57 54 39 40 48 45 39 41 Construct a 95% confidence interval to estimate the population mean. (Round the intermediate values to 2 decimal places. Round your answers to 2 decimal places.)
QUESTION 5 The pumber of grams of fat per serving for three different kinds of burger from several marylfacturers is listed below. Beef Burger Chicken Burger Fish Burger 23 25 26 24 26 26 41 26 43 24 24 36 27 25 39 28 25 23 32 i) At the 0.05 level of significance, is there sufficient evidence to conclude a difference in the mean of fat content? (16 marks) i) Construct the ANOVA Summary Table from the derived statistics....
A survey of 25 randomly selected customers found the ages shown? (in years). The mean is 33.16 years and the standard deviation is 9.21 years. 47 35 45 21 30 42 49 29 28 35 27 29 45 35 11 34 28 33 44 39 34 25 34 32 18 a) What is the 90% confidence interval for the mean age of all customers assuming that the assumptions and conditions for the confidence interval have been met? b) What is...
A survey of 25 randomly selected customers found the ages shown (in years). The mean is 32.28 years and the standard deviation is 9.35 31 21 44 32 34 11 48 42 23 45 39 35 31 28 29 43 34 37 20 44 33 27 24 a) Construct a 80% confidence interval for the mean age of all customers, assuming that the assumptions and conditions for the confidence interval have been met. b) How large is the margin of...
years. A survey of 25 randomly selected customers found the ages shown (in years). The mean is 32.84 years and the standard deviation is 8.84 25 39 43 25 42p a) Construct a 99% confidence interval for the mean age of all customers, assuming that the assumptions and conditions for the confidence 23 28 42 45 31 interval have been met. b) How large is the margin of error? c) How would the confidence interval change if you had assumed...
Ten randomly selected teenagers were each asked to list how many hours they watched TV per week. The results are: 23, 54, 19, 33, 27, 45, 8, 26, 43, and 18. Determine the 95% confidence interval estimate for the mean number of hours of television watched per week by teenagers. Assume the number of hours is normally distributed. (4 points) b. Discuss how this situation does or does not satisfy the assumption for inference? (2 points)
(2 points) Among drivers who have had a car crash in the last year, 110 were randomly selected and categorized by age, with the results listed in the table below Age Under 25 25-44 45-64 Over 64 Drivers 43 26 16 25 If all ages have the same crash rate, we would expect (because of the age distribution of licensed drivers) the given categories to have 16%, 44%, 27%, 13% of the subjects, respectively. At the 0.05 significance level, test...