Q3. A research organization tested microwave ovens. At a = 0.10, is there a significant difference in the average prices of the three types of oven? Watts 1000 900 800 270 240 180 245 135 155 190 160 200 215 230 120 250 250 140 230 200 180 220 200 140 235 210 130 a) Complete the following ANOVA table: Source d.f Sum of squares Mean squares F-value Between Groups 21729.735 Within Groups 1073.794 Total b) State the Hypothesis and identify the claim. c) Draw the conclusions if the critical value is 2.61.

Q3. A research organization tested microwave ovens. At a = 0.10, is there a significant difference in the average prices of the three types of oven? Watts 1000 900 800 270 240 180 245 135 155 190 160 200 215 230 120 250 250 140 230 200 180 220 200 140 235 210 130 a) Complete the following ANOVA table: Source d.f Sum of squares Mean squares F-value Between Groups 21729.735 Within Groups 1073.794 Total b) State the Hypothesis and identify the claim. c) Draw the conclusions if the critical value is 2.61.

Name: Q3.A research organization tested microwave ovens. At a = 0.10, is th
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: Q3.A research organization tested microwave ovens. At a = 0.10, is there a significant differencein the average prices of the three types of oven?Watts1000 900 800270 240 | 180245 135 155190160 200215230 120250250 140230 200 180220200 | 140235210 13

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

Suppose that a customer is purchasing a car. He conducts an experiment in which he puts 10 gallons of gas in the car and drives it until it runs out of gas. He conducts this experiment 15 times on each car and records the number of miles driven. 210 258 246 248 173 275 201 253 246 202 224 314 Car 1 249 252 265 Car 2 223 269 314 202 277 258 215 162 269 Full data set 221 254 281 251 297 281 Sample mean for Car 1 x=mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Sample mean for Car 2 x= mi/10 gal X= (Type an integer or decimal rounded to one decimal place as needed.) Median for Car 1 M=mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Median for Car 2 M= mi/10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 1 R= mi/10 ga (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 2 R= mi/10 gal (Type an integer or decimal rounded to one decimal place as needed.)…
An economist desired to estimate a line relate to personal disposable income (DI) to consumption expenditure(CE) both are in thousands of dollars. The table below gives the data for random simple of 9 households of size four. DC|25|22|19|36|40|47|28|52|60 CE|21|20|17|28|34|41|25|25|51 From the above data determine the following: A scatter plot of variables. The covariance between disposable income and consumption expenditure. The correlation between disposable income and consumer expenditure. What is the difference between covariance and correlation coefficient? And interpret each
eat out or in The overall change in the consumer price index is a weighted average of changes in various categories. on november 19, 2011 the boston globe reported the data displayed in figure 5.7. is it reasonable to say that about 40% of food expenses are for food away from home?
The variance (5x) corresponds with which of the following ANOVA terms? a. mean square b. treatment effect O c. factor d. sum of squares
The two, box and whisker diagrams below show the percentage marks obtained by two Grade 12 classes. Each class has 26 learners. Class A Class B O 10 20 30 40 50 60 70 80 90 100 The percentage marks for Class A, arranged in order, are given below: F: 58 60 62 62 63 65 65 66 66 66 66 67 69 70 71 73 73 90 [SASAMS database] 75 75 75 H 80 83 85 NOTE: Fis the lowest percentage mark H is a percentage mark between 75 and 80
The manager of a fleet of automobiles is testing two brands of radial tires and assigns one tire of each brand at random of eight cars and runs the cars until the tires wear out. The data (in kilometers) follow. Is there any difference in mean life of these two brands of tires? Car Brand Brand 36,925 34.318 42,280 1 45.300 36,240 3 4 35.500 32,100 31,950 38,015 37.210 48,360 5 47,800 38,200 37,810 33.500 33,215 6. 7 8. 1. Is this samples independent or paired samples? Explain. 2. Write Ho and H1 3. Calculate Test statistics(T). 4. What is the critical value (T from tables)? 5. What is your conclusions if a = 0.05? 6. Estimate with 90% confidence the different in the means. Which brand would you prefer based on this calculation?
The proprietor of a greenhouse claims that its pots of lilies average 6.0 buds, with s = 0.4 buds. If n = 29 pots of lilies from a large no of pots of lilies has a mean of 5.8 buds, does this deny the proprietor’s claim of the mean number of buds at 0.015 level of significance?
The following data lists the ages of a random selection of actresses when they won an award in the category of Best Actress, along with the ages of actors when they won in the category of Best Actor the same year. Using a 0.05 significance level, test the claim that for the population of ages of Best Actresses and Best Actors, the differences have a mean less than 0. This claim would indicate that the Best Actresses are generally younger than Best Actors. Actress (years) 27 30 31 27 37 28 29 40 30 32 Actor (years) 66 33 40 34 27 34 48 42 41 43 State the claim, null, and alternative hypothesis. Claim: μd 0 HO: μd 0 H1: μd 0
The manufacturer of a sports car claims that the fuel injection system lasts 48 months before it needs to be replaced. A consumer group tests this claim by surveying a random sample of 10 owners who had the fuel injection system replaced. The ages of the cars at the time of replacement were (in months): 21 46 49 48 53 46 30 51 42 52 A USE SALT (i) Use your calculator to calculate the mean age of a car when the fuel injection system fails x and standard deviation s. (Round your answers to four decimal places.) X = months months (ii) Test the claim that the fuel injection system lasts less than an average of 48 months before needing replacement. Use a 5% level of significance. What are we testing in this problem? O single mean O single proportion (a) What is the level of significance? 0.05 State the null and alternate hypotheses. O Ho: H = 48; H,: H # 48 O Ho: p = 48; H,: p # 48 O Ho: p = 48; H: p > 48 O H: H = 48; H,: µ 48 (b) What sampling distribution will you use? What assumptions…