Answer the following questions using the data provided in Table 1Table 1. Problem sets for grain-size analysisClassClassSample AintervalintervalWeight(g)(mm)(4)0 to -11-01-21.060.5-14.110.25-0.52-19.870.125-0.253-24-318.370.062-0.1254.31panpan6.10a) Calculate the weight of sediment trapped expressed as a percentage of theweight of the total sample and the "coarser than" cumulative weight percent.b) Construct a histogram for the samples.c) Construct cumulative curves, using (i) arithmetic and (ii) probability paper.d) Use the cumulative curve drawn on probability paper to calculate graphicstatistical measures (i.e., median, mean, standard deviation, skewness, andkurtosis) and interpret the results. Put your results in Table 2. Results of grain-sizeanalysis.Statistical MeasureResultsInterpretationMedianMeanStandard deviationSkewnessKurtosis

Answered: Image /qna-images/answer/dd967fa4-b90a-404d-90c1-16c328852086.jpg

Answered: Answer the following questions using…

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

15. Estimate the standardized death rates from the following data : Death Rate per 1000 0008 Age group (in years) Standardized Population (in lakh) Country I Country II Below 5 20.00 5.0 100 5-14 1.00 0.5 200 15-24 1.40 1.0 190 00 eec 25-34 2.00 1.0 180 ere 35-44 3.30 T28-00002 2.0 120 100 bluow oidst ofil eeneld srtt qu pnillit oa 0 45-54 7.00 5.0 55-64 15.00 12.0 70 65-74 40.00 35.0 308V 75 and above 120.00 200-0 ABe 0110.0 00 000,08 10 57 2 4000
Table 2-2 Wafers Classified by Contamination and Location Number of Contamination Particles Center Edge Totals 0.30 0.10 0.40 0.15 0.05 0.20 0.10 0.05 0.15 3 0.06 0.04 0.10 4 0.04 0.01 0.05 5 or more 0.07 0.03 0.10 Totals 0.72 0.28 1.00 6) Consider the data on wafer contamination and location in the sputtering tool shown in the Table. Assume that one wafer is selected at random from this set. Let A denote the event that a wafer contains four or more particles, and let B denote the event that a wafer is from the center of the sputtering tool. Determine P(B). 7) Determine P(A/B). 8) Determine P(A N B).
conline.austincc.edu/webapps/assessment/take/launch.jsp?course_assessment_id%3= 756751_1&course_id= 846. * Question Completion Status: QUESTION 3 An elementary school student comes down with a stomach virus the day after she swims at the local pool. Her father warns other parents at the school that the pool is unsanitary and causes virus to spread. What should the parents conclude? Choose the best answer. O The pool is indeed unsanitary and causes viruses to spread. O The pool is not unsanitary and does not cause viruses to spread. O There is an association between people visiting the pool and increased reports of viruses. O There is no association between people visiting the pool and increased reports of viruses. O Nothing can be concluded because this is an anecdote. QUESTION 4 10 Is the following an observational study or an experiment? Take a random sample of people at a fitness center. Ask them if they use resistance bands or not. Compare the average muscle mass for those who do…
Construct index number of price from the following data byapplying: a ) Laspeyre’s method Commodity Price Quantty Price QuanttyA 2 8 4 6B 5 10 6 5C 4 14 5 10D 2 19 2 13
What percentage of the magnesium data falls between 4.5 and 7.5?
(3-B is needed to answer it I am only asking for question 4.) 3) You go out and collect the following estimates of earthworms / acre:54,276 57,378 51,108 66,190 66,232 59,018 57,159These data yield the following: ̄y = 59,765.86, and s = 5,689.606a) Construct a 90% CI for these data.b) Construct a 99% CI for these data.c) Darwin once estimated that an acre of soil had about 50,000 worms in it. Is his estimateconsistent with the data above? (Historical note: His estimate was considered way too high inhis day). 4) Consider the results of 3(b). Notice that all the data fit within the 99% confidence interval. Is thisusually the case (in other words, will a 99% CI contain most of the observations)?Caution: a lot of people get this wrong! Here's a hint: suppose you had measured the worms in6000 acres (instead of just 7). What happens to the confidence interval? If you're not sure,substitute 6,000 for 7 in your calculation for (b) to see what happens.
3. A study was carried out into the attendance rate at a hospital of people in 16 different geographical areas, over a fixed period of time. The distance of the centre from the hospital of each area was measured in miles. The results were as follows: (1) 21%, 6.8; (2) 12%, 10.3; (3) 30%, 1.7; (4) 8%, 14.2; (5) 10%, 8.8; (6) 26%, 5.8; (7) 42%, 2.1; (8) 31%, 3.3; (9) 21%, 4.3; (10) 15%, 9.0; (11) 19%, 3.2; (12) 6%, 12.7; (13) 18%, 8.2; (14) 12%, 7.0; (15) 23%, 5.1; (16) 34%, 4.1. a. What is the correlation coefficient (Pearson Product Moment Correlation) between the attendance rate and mean distance of the geographical area? b. Find the Spearman rank correlation for the data given
2.30 Gross domestic product. The Economy is an annual publication by the Government of Newfoundland and Labrador (https://www.gov.nl.ca/) on the region's eco- nomic performance. From data provided by Statistics Canada Department of Finance, The Economy 2020 reported the estimated Gross Domestic Product (GDP) (in $ millions) in 2018 for the following 12 indus- tries: the services producing sector, wholesale trade, retail trade, transportation and warehousing, finance, insurance, real estate & business support services, pro- fessional, scientific, & technical services, educational services, health care & social assistance, information, culture & recreation, accommodation & food services, public administration, and other services. The data is listed in the accompanying table. In this data, GDP is expressed at basic prices, measuring payments made to the owners of factor inputs in production. This differs from GDP at market prices. The difference is attribut- able to taxes less subsidies…
1. Comment on the relation between Height and Gestational Age using the scatterplot.
You may need to use the appropriate appendix table or technology to answer this question. Suppose that a recent issue of a magazine reported that the average weekly earnings for workers who have not received a high school diploma is $494. Suppose you would like to determine if the average weekly for workers who have received a high school diploma is significantly greater than average weekly earnings for workers who have not received a high school diploma. Data providing the weekly pay for a sample of 50 workers are available in the file named WeeklyHSGradPay. These data are consistent with the findings reported in the article. Weekly Pay 687.73 543.15 789.45 442.26 684.85 661.43 478.3 629.62 486.95 786.47 652.15 652.82 669.81 641.13 577.24 845.68 541.59 553.36 743.25 468.61 821.71 757.82 657.34 506.95 744.93 553.2 827.92 663.85 685.9 637.25 530.54 515.85 588.77 506.62 720.84 503.01 583.18 7,980.24 465.55 593.12 605.33 701.56 491.86 763.4 711.19 631.73 605.89 828.37 477.81…
The following boxplots represent the estimates of the lifespan of an elephant (in years) given by 11 male and 8 female eleven-year olds. Male estimates of elephant life span 20 40 60 80 100 Estimated life span (years) Female estimates of elephant life span 20 40 60 80 100 Estimated life span (years) (Note that the tables of summary values have not been included in these boxplots as this question is assessing your understanding of the shape of the boxplots.) Choose the two options from the list below that are true. Select one or more: O The median of the male estimates is greater than the median of the female estimates. The interquartile range of the male estimates is greater than the range of the female estimates. All the male estimates are less than the upper quartile of the female estimates. O The median of the male estimates is greater than the third quartile of the female estimates. O The range of the male estimates is smaller than the range of the female estimates.
What could be the resulting cross section?

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