You work for a large farm with many fields of corn. You are investigating the mass of a sample of ears ofcorn. You gather the following data:Mass(g) of ears of corn13.4 14.1 15.015.4 15.418.0 18.3 18.7 19.1 20.315.4 15.5 16.3 16.6 16.720.7 22.2 23.4 23.9 34.4Some of the masses in the sample seem much larger than the rest. You decide to make several calculationsdescribing the "spread" of the data set. You hope to use them to help in the search for outliers.Here are your summary Statistics:Mean St. Dev.MaxMin Q1 Med Q૩13.4 15.4 17.35 20.4 34.418.64.79Find the following: ROUND ALL ANSWERS TO THE TENTHS PLACE (1 DECIMAL)1. Apply the 1.5 IQR rule to search for outliers. Report the lower and upper cuttoffs.a. IQR =b. Lower Fence=c. Upper Fence =d. Are there any outliers by the 1.5 IQR rule? (Enter "yes" or "no")1. Apply the 2-standard deviation rule to search for outliers. Report the lower and upper cuttoffs.a. Lower Fence =b. Upper Fence =c. Are there any outliers by the 2-standard deviation rule? (Enter "yes" or "no")

Answered: Image /qna-images/answer/75bd6e73-bea7-4d5b-bc9f-45cd1ca600ec.jpg

Answered: You work for a large farm with many…

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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1. In many animal species the males and females differ slightly in structure, coloring, and/orsize. The hominidspecies Australopithecus is thought to have lived about 3.2 million years ago. (“Lucy,” the famous nearcompleteskeleton discovered in 1974, is an Australopithecus .) Forensic anthropologists use partial skeletalremains to estimate the mass of an individual. The data below are estimates of masses from partial skeletalremains of this species found in sub-Saharan Africa. Appropriate graphical displays of the data indicate thatit is reasonable to assume that the population distributions of mass are approximately normal for bothmales and females. You may also assume that these samples are representative of the respectivepopulations.Estimates of mass (kg)Males 51.0, 45.4, 45.6, 50.1, 41.3, 42.6, 40.2, 48.2, 38.4, 45.4, 40.7, 37.9, 41.3, 31.5Females 27.1, 33.5, 28.0, 30.3, 32.7, 32.5, 34.2, 30.5, 27.5, 23.3,35.7Do these data provide convincing evidence that the mean estimated masses…
An article discussed the opening of a Market. The following data compared the prices of some kitchen staples at the new Market (group 1) and at the old Market (group 2) located 15 blocks away. ITEM GROUP 1 GROUP 2 HALF GALLON MILK 16.8 22.0 DOZEN EGGS 11.7 15.2 ORANGE JUICE (64OZ) 15.6 18.7 HEAD OF LETTUCE 16.7 15.6 1LB GROUND BEEF 17.5 20.8 6OZ TUNA 18.1 19.5 1LB APPLES 14.1 17.0 LINGUINI 21.8 19.5 SALMON STEAK 1LB 13.9 16.5 WHOLE CHICKEN PER LB 20.8 24.0 A. Using a 0.01 level of signifcance and the p-value approach, what is the p-value? And what is your conclusion? Interpret
You work for a large farm with many fields of corn. You are investigating the mass of a sample of ears of corn. You gather the following data: Mass(g) of ears of corn 12.8 12.9 13.0 13.5 13.9 14.4 14.6 15.1 15.3 15.8 15.9 16.7 16.7 16.9 17.1 17.4 18.7 21.2 21.9 41.6 Some of the masses in the sample seem much larger than the rest. You decide to make several calculations describing the "spread" of the data set. You hope to use them to help in the search for outliers. Here are your summary Statistics: Mean St. Dev. Min Q1 Med Q3 Max 17.3 6.25 12.8 14.275 15.85 17.175 41.6 Find the following: Apply the 1.5 IQR rule to search for outliers. Report the lower and upper cuttoffs. IQR = Lower = Upper = Are there any outliers by the 1.5 IQR rule? (Enter "yes" or "no") Apply the 2-standard deviation rule to search for outliers. Report the lower and upper cuttoffs. Lower = Upper = Are there any outliers by the 2-standard deviation rule? (Enter "yes" or "no")
pdf # с 9. The tuition costs (in thousands of dollars) for 25 liberal arts colleges are listed. 23 23 20 22 21 15 25 24 30 25 40 25 30 23 29 20 19 22 23 29 23 28 22 28 20 Construct a boxplot for the data. Find the data value that corresponds to Pso c. Find the data value that corresponds to P75 a. b. $ % H A Oll Page < 2 SUS & Ih O of 2 O O
You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately p = 0.34. You would like to be 90% confident that your esimate is within 1.5% of the true population proportion. How large of a sample size is required
Studies suggest that women who smoke during pregnancy affect the birth weights of their newborn infants. To study this issue further, a sample of 10 women smokers were asked to estimate the average number of cigarettes they smoke per day. In the following table are their estimates and the birth weight (in kgs) of their child. Average Number of Cigarettes per day Birth Weight of Child (in kilograms) 22 2.91 16 3.27 4 3.68 19 3.14 42 2.32 8 3.82 12 3.45 30 2.95 14 3.00 16 3.68 (b) Use R-Studio to find the least squares estimate of the linear model that expresses the birth weight of a child as a linear function of the average number of cigarettes mom consumes in a day. Use four decimals in each of your answers.Y^i = ? + - Xi(e) A expecting mother, who smokes, claims to smoke an average of 20 cigarettes in a day. Predict the weight of her newborn. Use two decimals in your answer.kilograms(f) The weight of the child born to the expecting mother mentioned in (e) was…
A mixture of sucrose and water was heated on a hot plate, and the temperature (in °C) was recorded each minute for 20 minutes by three thermocouples. The results are shown in the following table. Time O 1 2 3 4 5 6 7 8 9 71 20 18 29 32 37 36 46 46 56 58 11 10 11231415 167 18 19 20 INR888 gege 64 72 79 84 82 87 98 103 107 103 102 T2 ON 18 22 22 25 37 46 45 44 54 64 69 65 80 74 87 93 90 100 100 103 103 T3 21 11 26 35 33 35 44 43 63 68 62 65 80 75 78 88 91 103 112 107 104 Compute the least-squares line for estimating the temperature as a function of time, using 73 as the value for temperature. (Round the ▼
Look at the histogram below, which shows mileage, in miles per gallon (mpg), for a random selection of older passenger cars. (a) Is the shape of the histogram essentially bimodal? Yes, because the histogram has one peak. Yes, because the histogram has two peaks. No, because the histogram has one peak. No, because the histogram has two peaks. (b) Jose looked at the raw data and discovered that the 54 data values included both the city and highway mileages for 27 cars. He used the city mileages for the 27 cars to make the histogram below. (City.mpg is in photo at bottom) Using this information and the histograms shown above, construct a frequency table for the highway mileages of the same cars. Use class boundaries 16.5, 20.5, 24.5, 28.5, 32.5, 36.5, and 40.5. Class Boundaries Frequency - - -…
Pulling Apart Wood. How heavy a load (in pounds) is 4step needed to pull apart pieces of Douglas fir 4 inches long and 1.5 inches square? Here are data from students doing a laboratory exercise: 33,190 31,860 32,590 26,520 33,280 32,320 33,020 32,030 30,460 32,700 23,040 30,930 32,720 33,650 32.340 24,050 30,170 31,300 28,730 31,920 We are willing to regard the wood pieces prepared for the lab session as an SRS of all similar pieces of Douglas fir. Engineers also commonly assume that characteristics of materials vary Normally. Suppose that the strength of pieces of wood like these follows a Normal distribution, with standard deviation 3000 pounds. Is there statistically significant evidence at thea = 0.10 level against the hypothesis that the meanis 32,500 pounds for the two-sided alternative? Is there statistically significant evidence at thea = 0.10 level against the hypothesis that the meanis 31,500 pounds for the two-sided alternative?

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