B. Perform Dixon's Q-test and Grubb's test for the following set of data points. Makea conclusion to reject or retain the two extreme outliers. Show your calculations.See rubric for scoring of problem solving.Given: Mass of 1-peso coins collected from Experiment 1.Sample No.Weight in gramsSample No.Weight in grams11.10026.1.976521.235871.006731.182981.018241.32331.017351.1476101.1094

Answered: Image /qna-images/answer/edca0742-a330-49ee-a0d7-ed518efff8dd.jpg

Answered: B. Perform Dixon's Q-test and Grubb's…

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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Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 42 50 37 44 41 38 39 48 44 38 35 55 44 36 15 51 38 49 29 29 a. Find the quartiles. The first quartile, Q1, is _____. The second quartile, Q2, is ____. The third quartile, Q3, is ____. (Type integers or decimals.) b. Find the interquartile range. The interquartile range (IQR) is _____. (Type an integer or a decimal.) c. Identify any outliers. Choose the correct choice below. A. There exists at least one outlier in the data set at____. (Use a comma to separate answers as needed.) B. There are no outliers in the data set.
To reduce bias, one should a. get a better instrument b. take the average of several measurements c. use rate rather than a count d. unbias your results
(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.
a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 646457555565565954616062566279
Let the height data (105)represent sample. Use an appropriate statistical test to check whether the population mean is different from 170 cm.Use α = 0.05.Also, write a substantive conclusion and explanation. Use an appropriate graph to check if data is normally distributed. Do it in R commander.
16 Co 27 H 9. Question Details BONUS Round to nearest tenth Sample Answer: 4.2
Statistics Question
Determine which of the four levels of measurement ( norminal, ordinal, interval, ratio) is most appropriate for the data below. Years in which U.S. presidents were inaugurated
The attached plots were constructed using a sample of 272 observations. Each observation gives the elapsed time (in minutes) of an eruption of Old Faithful geyser in Yellowstone national park. a. Which graph is more appropriate for this data set? Explain your answer. b. Use the plots to describe the shape of the distribution of this data set. c. Are there are any potential outliers in this sample? Explain
For the sample data set from HW M0 Problem 1: (92, 97, 88, 91, 94, 94, 85, 93, 81, 85) perform the following calculations or operations with pencil and paper: 1. Estimate the standard deviation from the range using the d2 method2. Determine the quartiles.3. Calculate the IQR. 4.Calculate boxplot 5. Sketch a stem and leaf plot.
In a recent survey of 157 WMU graduates, 117 students said that parking was too limited on campus. What is the estimate of the population proportion? What is the standard error of this estimate? Question 7 options: 1) Estimate of proportion: 0.745, Standard error: 0.0348. 2) Estimate of proportion: 0.255, Standard error: 0.0028. 3) Estimate of proportion: 0.745, Standard error: 0.0028. 4) The true population proportion is needed to calculate this. 5) Estimate of proportion: 0.255, Standard error: 0.0348.
9a. For binomially distributed data set, approximately what proportion would be below the mean and also within one standard deviation? 16.5%,25%,33%,50%,66%

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