Two methods of determining fat content in milk are being tested. Samples are taken from 6 different milk cartons and both methods are used on a sample from each container. The readings areCarton 1 2 3 4 5 6Method A: 2.2 1.7 2.0 1.9 2.1 2.3Method B: 1.8 2.1 1.9 1.4 2.1 1.7(A-B) 4 -4.1 50 .6From Minitab Output:NMethod AMethod B66Mean2.0331.833StDev.216.266Difference6.200.374To test the null hypothesis Ho that there is no difference in the two methods of determining fat content, the lowest level of significance to reject the null hypothesis is:OA: 0.20B: 0.15OC: 0.25OD: 0.10E: 0.05

For the given data Perform paired t test then select the correct choice

Answered: Two methods of determining fat content…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following data (see photo) represent the weights (in grams) of random sample of 50 M&M plain candies. Determine the actual percentage of M&Ms that weigh more than 0.911 gram.
(3-B is needed to answer it I am only asking for question 4.) 3) You go out and collect the following estimates of earthworms / acre:54,276 57,378 51,108 66,190 66,232 59,018 57,159These data yield the following: ̄y = 59,765.86, and s = 5,689.606a) Construct a 90% CI for these data.b) Construct a 99% CI for these data.c) Darwin once estimated that an acre of soil had about 50,000 worms in it. Is his estimateconsistent with the data above? (Historical note: His estimate was considered way too high inhis day). 4) Consider the results of 3(b). Notice that all the data fit within the 99% confidence interval. Is thisusually the case (in other words, will a 99% CI contain most of the observations)?Caution: a lot of people get this wrong! Here's a hint: suppose you had measured the worms in6000 acres (instead of just 7). What happens to the confidence interval? If you're not sure,substitute 6,000 for 7 in your calculation for (b) to see what happens.
Researchers investigated how the size of a bowl affects how much ice cream people tend to scoop when serving themselves. At an "ice cream social," people were randomly given either a 17-oz or a 34-oz bowl (both large enough that they would not be filled to capacity.) They were then invited to scoop as much ice cream as they liked. Did the bowl size change the selected portion size? The summaries are shown. Test an appropriate hypothesis and state your conclusions. For assumptions and conditions that you cannot test, you may assume that they are sufficiently satisfied to proceed. (Assume à significance level of 0.10.) Identify the null and alternative hypotheses. Choose the correct answer below. A. Ho: HL-Hs = 0 HA: HL-Hs #0 B. Ho: HL-Hs = 0 HA:HL-HS >0 O C. Ho: HL-Hs = 0 HA: HL-HS <0 D. Ho: HL-Hs #0 HA:HL-Hs = 0 Compute the t-statistic. ... t = (Round to two decimal places as needed.) Small Bowl n. 29 y S 5.41 oz 1.83 oz Large Bowl n y S 22 6.28 oz 2.95 oz 14( 18( 12
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