4. Individuals of various age groups (18-35; 36-55; 56-75) were asked about their trust(measured on a 20 point scale) in Liz Truss:Group18-3536-5556-75Sample Size224866(a) Calculate the overall mean of trust in Liz Truss across all 3 age groups.(b) Calculate the variance for trust in Liz Truss across all 3 age groups.(c) Calculate the Between Sum of Squares (BSS) and the Within Sum of Squares (WSS).1Before 49After 54Mean8.7612.2213.11(d) At the 5% significance level, use an ANOVA analysis to test the hypothesis that themean trust in Liz Truss across the 3 age groups is the same.25055In order to investigate the issue of sport on happiness, the table below shows the self-reporthappiness scores of 8 English females asked before and then after the Women's EuropeanChampionshipStd. Dev.2.222.963.0134616667.8 8056577647547666585266(e) Use the Sign Rank test to test the null hypothesis of no difference in the averagehappiness score at the 5% significance level.

As per the honor code and the guidelines we are supposed to answer the first question when multiple…

Answered: Individuals of various age groups…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

15.A manufacturer is testing its new grain moisture measurement techniques and sampled out 4 moisture meters (Gwon1, Gwon3, Kett, heating) and observed the slope of their measured moisture contents compared to standard heating technique at 3 trials each as shown in the table. *see attached table A. Compute for the degrees of freedom between treatments and compute for the estimate of the variance between treatments. B. Compute for the degrees of freedom within treatments and compute for the estimate of the variance within treatments.
A snack food manufacturer estimates that the variance of the number of grams of carbohydrates in servings of its tortilla chips is 1.25. A dietician is asked to test this claim and finds that a random sample of 22 servings has a variance of 1.35. At ⍶ = 0.05 is there enough evidence to reject the manufacturer’s claim?
A park ranger is searching for bears in a region of the park where on average there are 5 bears per square mile. The bears are solitary independent creatures, so it is reasonable to assume that the numbers of bears in disjoint regions are independent unknowns and that the number expected in any region is proportional to the area of the region. The ranger can also assume that in a very tiny region, say a square inch, it is impossible to find more than one bear. What is the variance in the number of bears he will find in a 5 square mile region of the park?
A new material is being tested for use in the manufacture of electrical conduit, to determine whether it will reduce the variance in crushing strength over the old material. Crushing strengths are measured for a sample of size 16 of the old material and a sample of size 20 of the new material. If it is shown that the crushing strength with the new material has smaller variance, the new material will be used.
A snack food manufacturer estimates that the variance of the number of grams of carbohydrates in servings of its tortilla chips is 1.141.14. A dietician is asked to test this claim and finds that a random sample of 2424 servings has a variance of 0.950.95. At alpha equals 0.10α=0.10, is there enough evidence to reject the manufacturer's claim? Assume the population is normally distributed.
A soft-drink dispensing machine is said to be out of control if the variance of the contents exceeds 1.15 deciliters. If a random sample of 25 drinks from this machine has a variance of 2.03 deciliters, does this indicate at the 0.05 level of significance that the machine is out of control? Assume that the contents are approximately normallyy distributed.
Compute for the variance of all the data on Table 2. Show your solution and answer inside the box. Express your final answer in scientific notation. Table 2 Student A Student B Student C 23.3124 mm 23.443 mm 22.2250 mm 23.7164 mm 23.444 mm 22.2250 mm 23.5489 mm 23.445 mm 22.2250 mm 23.8899 mm 23.446 mm 22.2250 mm
Assume that the population consists of only these eleven data points for y and z. Construct one sample for y and one another sample for z by using 5 data points which gives the maximum variance.
Suppose ya have the follawing data Set; x=(3,5,14) compute the Somple Variance. Rand your ansuer to two decimal places.
Two different plasma etchers in a semiconductor factory have the same mean etch rate μ. However, machine 1 is newer than machine 2 and consequently has smaller variability in etch rate. We know that the variance of etch rate for machine 1 is σ12, and for machine 2, it is σ2 = σ 2 12 a . Suppose that we have n1 independent observations on etch rate from machine 1 and n2independent observations on etch rate from machine 2.(a) Show that ˆμ = +− α α X X ( ) 1 2 1 is an unbiased estimator of μ for any value of α between zero and one.(b) Find the standard error of the point estimate of μ in part (a).(c) What value of α would minimize the standard error of the point estimate of μ?(d) Suppose that a = 4 and n n 1 2 = 2 . What value of α would you select to minimize the standard error of the point estimate of μ? How “bad” would it be to arbitrarily choose α= . 0 5 in this case?

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS