-2. A nachine is set to deliver packets of a given weight. 10 samples of size 5 each wererecorded. Below are given relevant data :2456710Sample No.Mean (x)1517151817141815171674Range (R)Calculate the values for the central line and the control limits of mean chart and the range and thencomment on the state of control.712411(Conversion Factors for n 5, are A2 = 0.58, D3 = 0, D, 2.115).

Answered: Image /qna-images/answer/2e146b64-e350-4851-8ec6-812b41ebe68e.jpg

Answered: -2. A nachine is set to deliver packets…

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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IV. Assume that the target population here are the workers of company X. Give a brief interpretation and discussion of the amount of skewness as reflected in the table below for each variable as identified among workers. Mean, Median, Mode, and SK values Variable Mean Median Mode Amount of Skewness(SK) Height -1.5 Weight +2.5 4.5 ft 190 lbs s 5.0 ft 160 lbs 3333333333 5.8 ft 135 lbs www33
"Conservationists have despaired over destruction of tropical rain forest by logging, clearing, and burning." These words begin a report on a statistical study of the effects of logging in Borneo. Here are data on the number of tree species in 12 unlogged forest plots and 9 similar plots logged 8 years earlier: 22 18 22 20 15 21 13 13 19 13 19 15 17 4 18 14 18 15 15 10 12 Unlogged Logged Does logging significantly reduce the mean number of species in a plot? Assume equal population variances and use a = 0.05. Use the difference: logged - unlogged. 1. Test Stat: 2. Critical Region: a. T> -1.729 b. Tabs (-1.729) c. T abs (-1.729) 3. Conclusion: At 5% level of significance a. logging reduces the mean number of species in the plot b. there is no evidence that logging reduces the mean number of species in the plot
tled1.tst 1 / 1 dent/Downloads/Math%201332%20Activity%20%236.pdf X 1 Find the mean, mode, median and midrange. 2) 2 Score Frequency 3 4 5 X 6 Math 1332 Activity #6.pdf: 6231- 7 8 9 10 119% + B HLSATOOGEE f 1 5 4 7 6 10 12 11
. 3. A researcher is interested in knowing if preterm infants with late metabolic acidosis and preterm infants without the condition differ with respect to urine levels of a certain chemical. The mean levels, standard deviations, and sample sizes from the two samples are given below. Assuming that the populations have equal variances: a. Fill in the missing pieces of the Stata output. ttesti 38 8.5 3.5 32 6.85 2.6 X y Two-sample t test with A variances combined diff Obs Ho: diff=0 38 32 Sample With condition 70 diff mean(x) n 38 Without condition 32 Ha: diff |t|) = F [95% Conf. Intervall 7.349579 5.9126 6.98079 .1552544 t = degrees of freedom = 9.650421 7.7874 8.510638 3.144746 E b. What is the conclusion of your test? c. Use this output to construct a 99% confidence interval for the difference between the two means. 68 Ha: diff0 Pr(Tt) = 0.0155
35. Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 757 134.55 538 106.7 782 142.3 461 83.15 597 116.55 372 74.8 328 75.2 480 92 978 154.7 261 58.15 A student calculates a linear modely = x + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 849.Cost =$ (Please show your answer to 2 decimal places.)
Suppose we want to compare scores (which can take on any value within a specified range) at baseline and at follow-up for a given sample. Using the data in the table below, compute a 95% CI for the mean difference in scores. Subject ID Baseline Follow-Up 1 13 6 2 10 8 3 9 11 4 12 11 5 8 5
13. Dave likes to grow cucumbers, and each year he experiments with ways to improve his crop. This summer, he wants to determine whether the new fertilizer he has seen advertised will increase the mean number of cucumbers produced per plant. He uses the old fertilizer on 15 cucumber plants and the new fertilizer on the other 13 plants. Over the course of the growing season, he calculates a mean of 17.4 cucumbers per plant for the old fertilizer, with a standard deviation of 2.0 cucumbers. He calculates a mean of 21.6 cucumbers per plant for the new fertilizer, with a standard deviation of 2.7 cucumbers. You may assume that both samples came from populations that are approximately normal. Assume that the population variances are not equal. a. Determine the best point estimate for the true mean difference in cucumber production. Correct notation counts. b. Construct a 95% confidence interval for the true mean difference in cucumber production. For credit, your work must include a…
2.4
5. An article in Agricultural Engineering (December 1964, pp. 672-673) described an experiment in which the daily weight gain of swine is evaluated at different levels of housing temperature. The mean weight of each group of swine at the start of the experiment is considered to be a nuisance factor. The data from this experiment are as follows: Mean Weight (lbs) Housing Air Temperatures (°F) 100 50 60 70 80 90 1.37 1.58 2.00 1.97 1.40 100 0.39 150 1.47 1.75 2.16 1.82 1.14 -0.19 200 1.19 1.91 2.22 1.67 0.88 -0.77 Does housing air temperature affect mean weight gain at a = 0.05?

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