Question

In: Statistics and Probability

a food snack manufacturer samples 13 bags of pretzels off the assembly line and weighs their...

a food snack manufacturer samples 13 bags of pretzels off the assembly line and weighs their contents. If the sample mean is 13.7 oz and the sample standard deviation is 0.05 oz find the 95% confidence interval true mean.

a. (13.4, 14.0)

b. (11.0, 16.0)

c. (11.4, 16.4)

d. (12.4, 15.0)

Solutions

Expert Solution

Solution :

Given that,

= 13.7

s =0.05

n =13 Degrees of freedom = df = n - 1 =13 - 1 = 12

At 95% confidence level the t is ,

= 1 - 95% = 1 - 0.95 = 0.05

  / 2= 0.05 / 2 = 0.025

t /2,df = t0.025,12 = 2.179 ( using student t table)

Margin of error = E = t/2,df * (s /n)

= 2.179 * ( 2.17/ 13)

E = 1.3

The 95% confidence interval estimate of the population mean is,

- E < < + E

13.7 - 1.3< <13.7 + 1.3

12.4< < 15.0

( 12.4, 15.0 )


Related Solutions

Snyders of Hanover, which sells about 80 million bags of pretzels, snack chips, and organic snack...
Snyders of Hanover, which sells about 80 million bags of pretzels, snack chips, and organic snack items each year, had its financial department use spreadsheets and manual processes for much of its data gathering and reporting. Hanover’s financial analyst would spend the entire final week of every month collecting spreadsheets from the heads of more than 50 departments worldwide. She would then consolidate and re-enter all the data into another spreadsheet, which would serve as the company’s monthly profit-and-loss statement....
Snyders of Hanover, which sells about 80 million bags of pretzels, snack chips, and organic snack...
Snyders of Hanover, which sells about 80 million bags of pretzels, snack chips, and organic snack items each year, had its financial department use spreadsheets and manual processes for much of its data gathering and reporting. Hanover’s financial analyst would spend the entire final week of every month collecting spreadsheets from the heads of more than 50 departments worldwide. She would then consolidate and reenter all the data into another spreadsheet, which would serve as the company’s monthly profit-and-loss statement....
A snack food producer sells bags labeled as “12 ounces” of its “Cheesy Chips.”
A snack food producer sells bags labeled as “12 ounces” of its “Cheesy Chips.” Due to natural variations in the creation of these chips, the weight of Cheesy Chips in each bag is a random variable that follows a normal distribution with a mean of 12.02 ounces and a standard deviation of 0.16 ounces.Find the probability that a randomly selected bag of Cheesy Chips will weigh less than 11.8 ounces. (5 points)b. A random sample of 15 bags of Cheesy...
A snack food manufacturer estimates that the variance of the number of grams of carbohydrates in...
A snack food manufacturer estimates that the variance of the number of grams of carbohydrates in servings of its tortilla chips is 1.16 A dietician is asked to test this claim and finds that a random sample of 24 servings has a variance of 1.34. At ?=0.05?, is there enough evidence to reject the? manufacturer's claim? Assume the population is normally distributed. Find the critical? value(s) and identify the rejection? region(s). The critical? value(s) is(are) __
A candy manufacturer selects mints at random from the production line and weighs them. For one...
A candy manufacturer selects mints at random from the production line and weighs them. For one week, the day shift weighed n1 = 194 mints, and the night shift weighed n2 = 162 mints. The numbers of these mints that weighed at most 21 grams was Y1 = 28 for the day shift and Y2 = 11 for the night shift. Let ?1 and ?2 denote the proportions of all mints that weigh at most 21 grams for the day...
Parts coming off an assembly line in a manufacturing process are checked by one of three...
Parts coming off an assembly line in a manufacturing process are checked by one of three quality assurance technicians. Technician 1 receives 40% of parts, Technician 2 receives 25% of parts, and Technician 3 receives the remaining parts.Occasionally, even the best trained technicians can let a defective part slip through. Of the parts they receive, Technician 1 misses 5% of the parts that are defective. Technician 2 misses 7% of the parts that are defective. Technician 3 misses 3% of...
The following sample of lengths was taken from 8 nails off the assembly line. Construct the...
The following sample of lengths was taken from 8 nails off the assembly line. Construct the 90% confidence interval for the population variance for all nails that come off the assembly line. Round your answers to two decimal places. 19.3,19.1,19.6,19.7,19.1,19.2,19.0,19.0 Lower Endpoint: ??? and Upper Endpoint: ???
The following sample of weights was taken from 8 cookies off the assembly line. Construct the...
The following sample of weights was taken from 8 cookies off the assembly line. Construct the 95% confidence interval for the population standard deviation for all cookies that come off the assembly line. Round your answers to two decimal places. 7.4,6.6,6.6,6.6,6.9,7.5,6.8,7.6
The following sample of weights was taken from 8 muffins off the assembly line. Construct the...
The following sample of weights was taken from 8 muffins off the assembly line. Construct the 90% confidence interval for the population variance for all muffins that come off the assembly line. Round your answers to two decimal places. 18.0,17.9,18.3,17.6,18.5,18.2,18.0,18.6 Lower endpoint and upper endpoint?
Suppose a sample of 16 light trucks is randomly selected off the assembly line. The trucks...
Suppose a sample of 16 light trucks is randomly selected off the assembly line. The trucks are driven 1000 miles and the fuel mileage (MPG) of each truck is recorded. It is found that the mean MPG is 22 with a SD equal to 3. The previous model of the light truck got 20 MPG. Questions: a) State the null hypothesis for the problem above b) Conduct a test of the null hypothesis at p = .05. BE SURE TO...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT