Question
Need explanation with all answer: Question 1 . The data in the file represent egg and cheese symbolizes the total fat, in grams per serving,
Need explanation with all answer:
Question 1. The data in the file represent egg and cheese symbolizes the total fat, in grams per serving, for a sample of 20 egg and cheese sandwiches from a fast food restaurant. The data are as follows:
7 8 3 5 15 21 22 24 18 33
23 31 25 1929 29 29 30 41 55
- Find the mean, mode and the median.
- Construct 95% confidence interval for the population mean total fat, in grams preserving.
- Interpret the interval constructed in (a).
- What assumptions must you make about the population distribution in order to construct the confidence interval estimate in (a)
Question 2. If a quality control manager wants to estimate the mean life of light bulbs to within + 21 hours with 99% confidence and also assumes that the population standard deviation is 85 hours, how many light bulbs needed to be selected?
Question 3. The owner of a gasoline station wants to study gasoline purchasing habits by motorists at his station. He selects a random sample of 55 motorists during a certain week, with the following results:
- The amount purchased was XBar = 11.0 gallons, S = 3.3 gallons.
- 15 motorists purchased premium-grade gasoline.
- At the 0.05 level of significance, is there evidence that the population mean purchase was different from 10 gallons?
- At the 0.1O level of significance, is there evidence that fewer than 25% of all the motorists at the station purchased premium grade gasoline?
- What is your answer to (a) if the sample mean equals 11.3 gallons?
- What is your answer to (c)if 7 motorists purchased premium gasoline?
Question 4. Assume that you have a sample of n1 = 7, with the sample mean XBar X1 = 44, and a sample standard deviation of S1 = 5, and you have an independent sample of n2 = 14 from another population with a sample mean XBar X2= 36 and sample standard deviation S2 = 6.
- What is the value of the pooled-variance tSTAT test statistic for testing H0:1= 2?
- In finding the critical value ta/2, how many degrees of freedom are there?
- Using the level of significance = 0.01, what is the critical value for a one tail test of the hypothesis H0:1 2 against the alternative H1:1> 2?
- What is your statistical decision?
Question 5. Referring to problem 4, if n1 = 4 and n2 = 3, how many degrees of freedom do you have? Also referring to problem 4, n1 = 4 and n2 = 3, at the 0.10 level of significance, what is the critical value for a two tail test and is there evidence that 1> 2?
Question 6. If you want to be 99% confident of estimating the population proportion to within a sampling error of {0.04, what sample size is needed?
Question 7. If the inspection division of a county weights and measures department wants to estimate the mean amount of soft-drink fill in 2-liter bottles to within {0.01 liter with 95% confidence and also assumes that the standard deviation is 0.05 liter, what sample size is needed?
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