Comparing scales: In an experiment to determine whether there is a systematic difference between the weights obtained withtwo different scales, 10 rock specimens were weighed, in grams, on each scale. The following data were obtained:Specimen weight on Scale 1 Weight on Scale 212.1312.8515.5117.293.do9.839.524.12.3911.3027.6423.886.10.809.357.15.8913.796.996.9813.3913.451021.9020.9Send data to ExcelLet u, represent the mean weight on Scale 1 and =HHa.Can you conclude that the the mean weight on Scale 1 is greater than the mean weight on Scale 2? Use the a 0.01 level ofinnifirance and th TT-RA DIrslelatnrto antar tha felloina TNew TabT weicome to Facebo.New folder A Chrome Web Store.f Facebook G GooglePart 1 of 4(a) State the null and alternate hypotheses.0 = Pri :0H0 < Pri :'HThis hypothesis test is a right-tailedv test.Part: 1/4Part 2 of 4(b) Compute the P-value. Round the answer to at least four decimal places.P-value =

From the provided information, Sample size (n) = 10 Level of significance (α) = 0.01

Answered: Comparing scales: In an experiment to…

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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Age-adjusted death rates are used in the comparison of two populations in order to: a. Reduce or eliminate effects of differences in age distributions b. Correct death rates for missing age data O c. Correct death rates of errors in age data d. All of the above e. None of the above
Find the sample standard deviation
There is some evidence that high school students justify cheating in class on the basis of poor teacher skills or low levels of teacher caring (Murdock, Miller, & Kohlhardt, 2004). Students appear to rationalize their illicit behavior based on perceptions of how their teachers view cheating. Poor teachers are thought not to know or care whether students cheat, so cheating in their class is okay. Good teachers, on the other hand, do care and are alert to cheating, so students tend not to cheat in their classes. Following are hypothetical data similar to the actual research results. The scores represent judgements of the acceptability of cheating for the students in each sample. Poor Teacher Average Teacher Good Teacher n = 6 n = 8 n = 10 N = 24 G = 72 ∑X2 = 393 M = 6 M = 2 M = 2 SS = 30 SS = 33 SS = 42 Use an ANOVA with an alpha level of .05 to determine whether there are a significant differences in student judgements…
Given the following data, find the weight that represents the 22nd percentile. Weights of Newborn Babies7.8 7.9 5.8 5.8 5.75.6 6.9 8.7 7.9 7.87.5 6.7 7.5 8.8 5.7
A consumer organization was concerned about the differences between the advertised sizes of containers and the actual amount of product. In a preliminary study, six packages of three different brands of margarine that are supposed to contain 500 ml were measured. The differences from 500 ml are listed here. Brand 1 Brand 2 Brand 3 1 1 3 2 3 4 4 3 2 1 4 4 What is the test value? Use 5% level of significance. a) 0.60 ОБ) 1.69 c) 2.69 d) 0.21 e) None of the answers are correct 2.
In an experiment to determine whether there is a systematic difference between the weights obtained with two different scales, 10 rock specimens were weighed, in grams, on each scale. The following data were obtained: Specimen Weight on Scale 1 Weight on Scale 2 1 13.36 13.19 2 16.80 16.43 3 9.75 9.52 4 11.03 11.47 5 26.00 26.22 6 10.80 10.73 7 14.68 14.74 8 6.60 6.72 9 13.02 12.95 10 22.29 22.64 Let μ1 represent the mean weight on Scale 1 and =μd−μ1μ2.Can you conclude that the the mean weight on Scale 1is less than the mean weight on Scale 2? Use the = α0.05 level of significance. (a) State the null and alternate hypotheses. (b) Compute the test statistic. (c) State a conclusion.
Which of the following statistics are unbiased estimators of the population parameter? Select all that apply. A) Sample mean B) Sample proportion C) Sample range
Six samples of each of four types of cereal grain grown in a certain region were analyzed to determine thiamin content, resulting in the following data (µg/g). Wheat 5.2 4.4 6.1 6.2 6.6 5.8 Barley 6.5 7.9 6.0 7.6 6.0 5.7 Maize 5.8 4.6 6.4 4.9 6.0 5.2 Oats 8.4 6.2 7.8 7.1 5.4 7.2 USE SALT Does this data suggest that at least two of the grains differ with respect to true average thiamin content? Use a level α = 0.05 test. State the appropriate hypotheses. | H₂: M₁ = H₂ = H3 = H4 H₂: all four μ's are unequal • Ho: M₁ = H₂ = H3 = H4 H₂: at least two μ's are unequal ⒸH₂² H₁ H₂ H3 H4 # H: all four μ's are equal O Ho: M₁ #M₂ #H3 H4 H₂: at least two μ's are equal Compute the test statistic value. (Round your answer to two decimal places.) f = What can be said about the P-value for the test? O P-value > 0.100 O 0.050 < P-value < 0.100 O 0.010 < P-value < 0.050 O 0.001 < P-value < 0.010 O P-value < 0.001 State the conclusion in the problem context. O Reject Ho. There is not significant evidence…
In an experiment to determine whether there is a systematic difference between the weights obtained with two different mass balances, six specimens were weighed, in grams, on each balance. The following data were obtained: Specimen A 1 14.86 14.83 2 9.44 9.41 3 11.99 11.99 4 9.27 9.26 5 6.13 6.13 13.78 13.76 It is reasonable to assume that the population of differences is approximately normal. A hypothesis test was carried out to determine if the mean weight differs between the balances. The results from this hypothesis test procedure carried out in Excel are presented below. You may use this information to answer the questions that follow. t-Test: Paired Two Sample for Means A B Mean 10.91166667 10.89666667 Variance 10.54093667 10.49502667 Observations 6 6 Pearson Correlation 0.999993349 Hypothesized Mean Difference df 5 t Stat 2.66556995 P(T<=t) one-tail 0.022292412 t Critical one-tail 2.015048373 P(T<=t) two-tail t Critical two-tail 0.044584824 2.570581836 a. Give the value of the…
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