A random sample of 50 plants was selected from a field containing one-year-old plants of avariety of guayule, a plant species yielding rubber. Of the 50, 25 were classified as Normal(N), 14 were classified as Off-type (O) and 11 as Aberrant (A). The data on the followingpage show the percentage rubber content from each plant.NormalOff-typeAberrant6.34 6.405.70 4.845.01 6.204.25 8.906.93 6.38 6.68 7.106.42 7.26 7.29 6.307.01 6-84 7.12 6.837.31 7.25 6.86 6.685.82 4.467.705.905.24 5.586.367.106.81 7.32 6.485.88 5.245.517.00 6.42 6.206.04 5.584.727.42 7-27 6.436-10 6-017.90(a) Test the null hypothesis that there is no difference in mean rubber content between thethree types of plant.(b) If the means of the distributions of each type of plant are denoted by N, PO and PArespectively, test the following particular null hypotheses:(i) EN = RA;(ii) Po=(PN + PA).

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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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A sample of 1000 observations taken from population-1 gave x, =290 . Another sample of size 1200 taken from population-2 yielded x,=396. Find the sample pooled proportion. A. 0.6882 B. 0.2146 C. 0.3118 D. 0.0957
Past records suggest that the mean annual income, μ1 , of teachers in state of Utah is greater than or equal to the mean annual income, μ2 , of teachers in Oregon. In a current study, a random sample of 15 teachers from Utah and an independent random sample of 15 teachers from Oregon have been asked to report their mean annual income.The data obtained are as follows. Annual income in dollars Utah 40375, 40119, 38197, 31687, 33695, 32737, 31677, 34683, 29973, 27954, 30679, 23613, 30854, 39423, 43263 Oregon 29526, 39202, 41422, 42190, 33702, 43330, 37084, 35078, 50852, 45628, 43294, 28607, 39779, 42331, 40648 The population standard deviation for mean annual income of teachers in Utah and in Oregon are estimated as 6400 and 6500 , respectively. It is also known that both populations are approximately normally distributed. At the 0.05 level of significance, is there sufficient evidence to reject the claim that the mean annual…
Recently, a store manager tracked the time customers spent in the store from the time they took a number until they left. A sample of 12 customers was selected and the following data was recorded; where the frequency is the number of customers and value is the time spent in the store. Frequency Value 6 8 1 5 3 12 2 16 Compute the mean time spent in the store. (Round to the nearest 2 decimal places, if needed.)
Suppose that you had collected the following sample data (in inches) on the diameters of tree trunks, measured at waist level and growing at 2000’ elevation in the Cascade Mountains: 9.0, 6.2, 6.5, 7.0, 10.5 and 8.8. The sample Inter Quartile Range is: (a) 5.5 (b) 4.5 (c) 3.5 (d) 2.5 (e) 4.0 (f) None of the above
The age of cars in the staff parking lot of a suburban college is uniformly distributed from six months (0.5) to 9.5 years. Find the 35th percentile
In a study of exhaust emissions from school buses, the pollution intake by passengers was determined for a sample of nine school buses used in the Southern California Air Basin. The pollution intake is the amount of exhaust emissions, in grams per person, that would be inhaled while traveling on the bus during its usual 18-mile trip on congested freeways from South Central LA to a magnet school in West LA. Here are the amounts for the nine buses when driven with the windows open. 1.17 0.33 0.40 0.33 1.32 0.38 0.25 0.40 0.35 (a) Consider making a stemplot. Are there outliers or strong skewness that would preclude use of the t procedures? Which is correct? A. The sample is small and the stemplot is right skewed with possible outliers, so use of t procedures is not appropriate. b. The distribution is symmetric so use of t procedures is appropriate. c. The sample is small and the stemplot is left skewed with possible outliers, so use of t procedures is…
Select the single best answer: An investigator is interested in the cigarette use of workers in factory. She asks all the workers who come into the site if they use cigarettes and determines that 20% of the subjects smoke. She then asks every third smoker who comes to the site how many cigarettes they smoke each day; she finds that the mean number of cigarettes smoked is 16. She plots the number of cigarettes smoked by each worker on a frequency distribution and finds that it is normally distributed. She also finds that the number of male smokers is equal to the number of female smokers. She already knows that half of her subjects are men, and half are women. A particular worker, Mr. X, smokes 24 cigarettes a day. What is the corresponding deviation score? A. 40 B. +8 C. 0 D. -8 E. 24
In each part, give the value of the standardized statistic (z-score) for the sample mean. 100, σ = 8, n = 4 (a) x = 88, μ = Z = (b) x = 88, μ = 100, σ = 8, n = 64 Z = (c) x = 10.63, μ = 10.0, σ = 7, n = 10,000 z =
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The amount of money earned in a day by Ms. Anne’s craft shop was recorded and displayed in the stem-and-leaf diagram shown below in Exhibit 1. Exhibit 1 Stem-and-leaf of Data: Amount of Money earned in a day in dollars Leaf Unit = 10 N = * 2 2595 323413 3 55779999 (**) 4 0001233 14 4 5569 *** 5 033445 5 7788 161 What is the median of the distribution? Use the stem-and-leaf diagram above to draw a box-and-whisker diagram. Comment on the skewness of the distribution.

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