This is question.Two analysts measure the percentage of ammonia in a chemical process over9 days and find the following discrepancies between their results:Day123456789Analyst A 12.04 12.37 12.35 12.43 12.34 12.36 12.48 12.33 12.33Analyst B 12.18 12.37 12.38 12.36 12.47 12.48 12.57 12.28 12.42Investigate the mean discrepancy between their results and in particular givean interval in which you are 90% sure that it lies.The answer I got is. Can you please interpret the answer?1. Mean difference w 0.053, S = 0.0498, s = 0.0789. Assuming a standardreference prior for and a variance known equal to 0.07892, the posterior distributionof the effect of Analyst A over Analyst B is N(0.053, 0.07892/9) leading to a 90%interval 0.053 ± 1.6449 × 0.0789/3, that is, (0.010, 0.097). If the variance notassumed known then the normal distribution should be replaced by tg.

The measurements of the percentage of ammonia in a chemical process over 9 days by Analysts A and B…

Answered: Two analysts measure the percentage of…

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

Q#1: One Way ANOVA N 3 12 15 14 13 12 10 11 At 5% significant level, does the data provide sufficient evidence to conclude that a difference exists in mean amount of rain among the three different cities. Please show all the work step by step. 6 12 10 6. 7 Help for #1: One Way ANOVA Step by Step Calculation Q#2: Please use Excel to Test ANOVA One Way ANOVA (Excel) S 12 3 15 14 6 2 4 10 10 11 At 5% significant level, does the data provide sufficient evidence to conclude that a difference exists in mean amount of rain among the three different cities. Make sure you upload all the screenshot or picture or pdf for the eYcel
The data below was taken from the fat (g) and sodium (mg) found in different types of food found at fast food restaurants. 19 31 34 35 39 39 43 _y 920 1310 860 1180 940 1260 1500 a) Find the p-value to determine if there is a linear correlation between fat (g) and sodium (mg). Record the p-value below. Round to four decimal places. p-value = b) Is there a linear correlation between fat (g) and sodium (mg)? c) If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. d) If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places. e) Using the data shown above, predict the the sodium found in fast food when the fat is 32 g. Round your final answer to two decimal places. f) If there is a linear correlation, what percentage of variation in sodium (mg) can be explained by fat (g)? If there is not a linear correlation, leave…
6
9.17
5)
7. A real estate agent believes that the monthly rents of houses depend on the size of the houses. A sample of seven houses is a residential area was selected and the information gathered is shown in table below. Compute the value of correlation coefficient. Interpret your finding. Monthly rent (RM '00), y Size ('00 square feet), X 12.11 10.61 16.07 9.41 15.06 17.08 9.14 14.12 8.16 12.09 14.91 7.17 16.13 11.15
4. Answer question 2
This exercise requires the use of a statistical software package. The cotton aphid poses a threat to cotton crops. The accompanying data on y = Infestation rate (aphids/100 leaves) x1 = Mean temperature (°C) x2 = Mean relative humidity appeared in an article on the subject. y x1 x2 y x1 x2 62 21.0 57.0 76 24.8 48.0 86 28.3 41.5 94 26.0 56.0 99 27.5 58.0 99 27.1 31.0 105 26.8 36.5 119 29.0 41.0 101 28.3 40.0 75 34.0 25.0 64 30.5 34.0 44 28.3 13.0 28 30.8 37.0 18 31.0 19.0 15 33.6 20.0 22 31.8 17.0 31 31.3 21.0 24 33.5 18.5 68 33.0 24.5 41 34.5 16.0 5 34.3 6.0 22 34.3 26.0 19 33.0 21.0 24 26.5 26.0 43 32.0 28.0 55 27.3 24.5 59 27.8 39.0 60 25.8 29.0 81 25.0 41.0 88 18.5 53.5 76 26.0 51.0 103 19.0 48.0 109 18.0 70.0 96 16.3 79.5 Find the estimated regression equation of the multiple regression model y = ? + ?1x1 + ?2x2 + e. (Round your numerical values to two decimal places.) = Assess the utility of the…
A certain polymer is used for evacuation systems for aircraft. It is important that the polymer be resistant tothe aging process. Fifty specimens of the polymer were used in an experiment. Twenty‐five were assignedrandomly to be exposed to an accelerated batch aging process that involved exposure to high temperatures for10 days. Question Which Treatment results in the higher mean tensile strength? (Circle One) Aging or No AgingWhich Treatment has the higher variability? (Circle One) Aging or No Aging
Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression 1 12,323.80 12,323.80 90.0481 Residual 8 1,454.602 136.8550 Total 9 13,778.4 What is the correlation coefficient? Multiple Choice 0.8944 0.9457 −0.9457 0.8878

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