Please use the accompanying Excel data set or accompanying Text file data set when completing the following exercise.Cloud seeding has been studied for many decades as a weather modification procedure (for an interesting study of this subject, see thearticle in Technometrics, "A Bayesian Analysis of a Multiplicative Treatment Effect in Weather Modification", Vol. 17, pp. 161-166). Therainfall in acre-feet from 20 clouds that were selected at random and seeded with silver nitrate follows:17.0, 29.7, 18.8, 26.1, 21.3,17.8, 30.8, 22.4, 20.2, 26.9.30.9, 26.1, 24.0, 23.7, 25.9.20.8, 28.2, 33.8, 25.7, 30.6(a) Can you support a claim that mean rainfall from seeded clouds exceeds 24.0 acre-feet? Use a = 0.01.There isV evidence to indicate that the true mean rainfall is greater than 24.0 acre-feet at a = 0.01.(b) Compute the power of the test if the true mean rainfall is 26.0 acre-feet.iRound your answer to one decimal place (e.g. 98.7).(c) What sample size would be required to detect a true mean rainfall of 26.5 acre-feet if we wanted the power of the test to be at least0.9?nz iRound your answer to the nearest integer.

Answered: Image /qna-images/answer/5548ad47-e645-47ef-a45f-e5e05b45a863.jpg

Answered: Please use the accompanying Excel data…

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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Question 4 Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample ofyearly data was taken with the view to testing the model:SALES=?+?AGE+?MIL+?ENGWhere SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the totalmileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predict or constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 *** 7.7664…
A) Classify the following data as either qualitative data or quantitative data. In addition, classify the quantitative data as discrete or continuous. The number of times that a movement authority is sent to a train from a relay station is recorded for several trains Over a three-week period. The movement authority, which is an electronic transmission, is sent repeatedly until a return signal is received from the train. 1. 2. A physician records the follow-up condition of patients with optic neuritis as improved, unchanged, or worse. The individuals in a sociological study are classified into one of five income classes as follows: low, low to middle Middle, middle to upper, or upper. 3.
7:08 iTECH Part V ork.potsdam.edu Part VI © 4G37% 5 What graphical display is appropriate for comparing the distribution of patient death rates between hospitals that use computer systems and those that rely on the âlpaperâ system? A. A scatterplot. B. A bar chart. C. A stem-and-leaf display. D. Side-by-side boxplots. 4 Mr. Prudence read about the study results and concluded from there that hospitals should adopt computerized automation of notes and records because it increases patientsâ chance of survival. Which of the following is a correct statement about Mr. Prudenceâs conclusion? A. It is a valid conclusion because the study was based on a very large number of patients. B. It is a valid conclusion because the study results showed that hospitals which use computerized systems have a lower patient death rate. C. It is an invalid conclusion because this study does not necessarily prove a causal relationship between the use of ||| computerized system and hospital mortality. D. Both A)…
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Question-6 Use the Table given below to find out: a. Correlation coefficient between Hydrocarbon levels and purity. b. Regression model. Observation number 1 2 3 4 5 6 7 8 9 10 11/ 12 Hydrocarbon Levels, % 0.99 1.02 1.15 1.29 1.46 1.36 0.87 1.23 1.55 1.4 1.19 1.15 Purity % 90.01 89.05 91.43 93.74 96.73 94.45 87.59 91.77 99.42 93.65 93.54 92.52 Pu
Hi I know that you can’t answer all questions. Can you just answer question 21 please.
THIS IS ENGINEERING DATA ANALYSIS 1. Given the following: c = 5, x1 = 7, x2 = 8, x3 = 10, x4 = 11, x5 =13, y1 = 5, y2 = 7, y3 = 9, y4 = 11, y5 = 13.Evaluate the following:
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QUESTION 5 To setup statistical process control on our products paint finish we sampled the following data Number of Samples Defects 350 11 330 20 310 15 375 9 385 17 310 18 325 13 What is the correct Statistical Process Control chart to use and why? Construct a Statistical Process Control chart for this data, including control and warning limits. Is this process in control? 350 5 310 19 325 11 350 17
2.1 The Australian Bureau of Statistics (ABS) has recently released a report on the relationship between international students’ ethnicity and enrolments in higher education. Identify the dependent variable(s) and the independent variable (s) in the above scenario.
Question 4 Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=a+BAGE+YMIL+&ENG Where SÄLES= amount that a vehícle is sold for($000's), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG= the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predict or Constan 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 0.5042 ** MIL -0.7527 0.3586 -2.0991 7.7664 0.0000 *** ENG 4.8124 Analysis of Variance DF MS Source 3 413.1291 138.709 **** 0.00 Regressi 7 on 50 457.7607 2.2888 Error Total 53 a) What is dependent and independent variables? b) Fully write out the regression equation c) Fill in the missing values *', '**',…
QUESTION 2 In the macro relation between GDP and FDI, Dr Mudenda obtained the following values from a Stata output: FDI coefficient of 0.45; t-statistic of 3; and covariance (GDP, FDI) value of 0.41. In literature, this relationship between GDP and FDI has generally been established to be statistically significant. Answer the following questions: i) Calculate the variance of the FDI variable and explain its implication ii) Use the confidence interval approach to test whether FDI's influence on GDP is statically significant or not in Dr Mudenda's study. Use 5% level which gives 1.96 critical values. What is the expected value of the p-values for studies that have been conducted in literature?

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