A company utilizes two different machines to manufacture parts of a certain type. During a single shift, a sample of n = 20 parts produced by each machine is obtained, and the value of a particular critical dimension for each part is determined. The comparative boxplot below is constructed from the resulting data.Machine2-•8595105Dimension115Compare and contrast the two samples. (Select all that apply.)0 0 0 осMachine 1's sample values have considerably more variation than does machine 2's sample values.There are no outliers present.The only outlier that exists is from machine 2.A typical value seems to be about the same for the two machines.A typical value is much larger for machine 2 than for machine 1.The only outlier that exists is from machine 1.Machine 1 and machine 2's sample values have about the same amount of variation.Machine 2's sample values have considerably more variation than machine 1's sample values.A typical value is much larger for machine 1 than for machine 2.

Step 1: Recall the structure of a box plot.The outliers are identified as the points which are drawn…

Answered: A company utilizes two different…

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

Question 6 of 7 > -/1 E View Policies Current Attempt in Progress The following data set lists the number of women from each of 10 different countries who were on the Rolex Women's World Golf Rankings Top 25 list as of March 31, 2009. The data, entered in that order, are for the following countries: Australia, Brazil, England, Japan, Korea, Mexico, Norway, Sweden, Taiwan, and the United States. 2 1 1 2 9 1 1 2 2 4 a. Calculate the mean and median for these data set. Мean %3D i Median = i b. Identify the outliers in this data set. Write your answers in ascending orders. Outliers = i and i Drop the outliers and recalculate the mean and median. Mean = i Median = i Which of these two summary measures changes by a larger amount when you drop the outliers? c. Which is the better summary measure for these data, the mean or the median? Explain. The is a better measure because it as sensitive to the outliers as the other one.
O Assighmant Score! < Question 12 of 16 Of the many species of oak trees in the United States, 28 grow on the Atlantic Coast and 11 grow in California. The back-to-back stemplot displays data on the average volume of acorns (in cubic centimeters) for these 39 oak species. Atlantie Const 998643 0 | Callifornia Which of the following are correct comparisons of the 4. 88864211111 1 50 2 6640 3 06 06 distributions of acorn volumes for the Atlantic Coast and California? 8 4 1 5 86 I. Both distributions have similar variability. II. Both distributions have similar medians. 59 1 8 1 9 10 11 III. Both distributions have possible outliers. O I and III only Key: 26 = An oak species whose acorn volume is 2.6 cm. O II and III only 15 16 17 O II only O I only O III only 1 From the Electronic Encyclopedia of Statistics Examples and Exercises (EESEE) story "Acorn Size and Oak Tree Range."
Two groups of children, one belonging to the professional class, 125 in number, and the other belonging to the labour class, 124 in number are compared and the following results are obtained: Poor children Well-to-do children per cent (Labour elass) per cent (Professional class) Below narmal weight 55 13 Above normal weight 11 48 Find the coefficient of association between the weight of the children and their social status. Also calculate the standard error of this coefficient of association and set 95% fiducia! limits of this population coefficient.
1. (30 Points) Consider the following table where the production quantity of a welding process is presented for different pressure levels (low, medium, and high). By using 5% significance level, test whether the pressure level has an impact on the average production amount. Explicitly show all of your computations and clearly demonstrate how you reach your conclusion. Low Medium High 31 35 25 25 32 34 33 33 35 41 30 33 32 37 39
619-dt-content-rid-2820000 1/courses/MTH2210C_FS2020/MTH%202210-C%20 Consider the following two sets of data: Data set 1: 1|Page 62 83 91 100 78 96 87 69 Which set of data is uniform? ii. Interprete the box plots for the two sets of data Comment on the shape of the data using quartiles ii. 另的刀2引的以的的印万%z2 的

8. You collect data on people's height and study the relationship between gender and height. A regression of the height on a binary variable (Female), which takes a value of one for females and zero otherwise, yields the following result: Height = 71.0- 4.84 x Female, R2 = 0.40, SER = 2.0 (0.3) (0.57) (a) What is the sample average male height? (b) What is the sample average female height? I (c) How to interpret the slope coefficient -4.84? (d) Is the error term in the regression more likely to be heteroskedastic or homoscedastic? Why? R English (United States) D'Focus Page 9 of 10 920 words 100%
17. please state all 6 steps of the p method clearly please! Strength of concrete: The compressive strength, in kilopascals, was measured for concrete blocks from five different batches of concrete, both three and six days after pouring. The data are as follows. Can you conclude that the mean strength after three days differs from the mean strength after six days? Let μ1 represent the mean strength after three days and =μd−μ1μ2 . Use the =α0.05 level and the P -value method with the TI-84 Plus calculator. Block 1 2 3 4 5 After 3 days 1371 1379 1344 1383 1386 After 6 days 1328 1337 1344 1321 1345
For theoretically modelling the economic development of national economy scenarios the following 2 models for GDP increment are analysed: a. Yt = Yt-1 + at b. Yt = 1.097 Yt-1 - 0,97 Yt-2 + at, where Y - GDP increment a - White noise with zero mean and constant variance o2 =100 t- Time (quarters starting with Q1, 1993) Check by an algebraic criterion which one is stationary.
3
(b) A rescarcher supccts that the fish in a particular elevated wetland have elevated mercury level. To confirm that, five striped bass in that wetland were caught and their tissues were tested for mercury. Then four striped bass in an unpolluted wetland were also caught and tested for the purpose of comparison. Table QI shows the fish mercury levels in mg/kg. Table QI shows the fish mercury levels in mg/kg. Sample from polluted wetland Sample from unpolluted wetland 0.580 0.382 0.711 0.276 0.571 0.570 0.666 0.366 0.598 Construct the 95% confidence interval for the difference in the population means. Then, test at the 5% level of significance, whether the researcher's suspicion is valid. Assume that the population variances are equal.
Time Spent Studying and Social Media
Studies on the seabed's habitat (natural environment) are carried out by dredging the sea bottom. Area to estimate the number of clams in a given area; It was studied in four parts (layers) as north, south, east and west. The size of each layer is 901680, 200765, 203355 and 800509 m2, respectively. The size of the areas selected as samples from the layers, the average weight of the scallops in the selected area and the variance of the weight are given in the table below. Estimate the total number of clams in the area. Calculate the estimation error limit.

SEE MORE QUESTIONS

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