Peanut Jar Data:11.9411.7412.2511.3211.8511.8611.5912.1511.7611.5512.3112.59 (c) Construct a 99% confidence interval for the population standard deviation of the number of ounces of peanuts Select the correct choice below and fill in the answer boxes to complete your choice(Use ascending order Round to three decimal places as needed)OA. There is a 99% chance that the true population standard deviation is between andOB. If repeated samples are taken, 99% of them will have the sample standard deviation between andOC. There is 99% confidence that the population standard deviation is between and(d) The quality control manager wants the machine to have a population standard deviation below 0 20 ounce Does the confidence interval validate this desire?OA. No-the lower bound of the confidence interval is less than 0 20OB. Yes-the lower bound of the confidence interval is less than 0 20OC. No-the lower bound of the confidence interval is greater than 0.20OD. Yes-the lower bound of the confidence interval is greater than 0.20 A jar of peanuts is supposed to have 12 ounces of poanuts. The filling machine inevitably experiences fluctuations in filling, so a quality control manager randomly samples 12 jars of peanuts from the storage facility and measures their contentsShe obtains the accompanying data Complete parts (a) through (d) below(a) Venty that the data are normally distributed by constructed a normal probability plot. Choose the correct normal probability plot belowOAOBO C1.75-1.75A expected z-scare a11.2observationO NoO Yes12.6CAre the data normally distributed?(b) Determine the sample standard deviationS= (Round to three decimal places as needed)A expected z-scoro12.6411.2-1.75observation175QQG1.754 expected 2-score175-111.2observation126QOD4 expected c-score175--1.75112observation12.6

Data values11.9411.7412.2511.3211.8511.8611.5911.3212.1511.7611.5512.3112.59

Answered: A jar of peanuts es supposed to have 12…

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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y 67.7 21.7 184.2 73.9 64.2 19.6 73.1 31.9 86.8 28 83.7 24.8 58.5 8.8 84.9 38.4 78.5 10.7 67.8 39.5 52.5 23.7 49 22 74.4 10 82 29.4 77.4 19.3 82.8 28 72.4 11.4 79 23.7 85.6 48.7 65.2 17.4 79.2 16.2 107.8 49 69.4 19.7 79.1 31.7 82.1 14.6 75.9 29.4 Make a scatter plot of this data. Which point appears to be an outlier? |(184.2,73.9) (Enter as an ordered pair.)
Provide a Descriptive interpretation based on the given data; use an APA format as much as possible.
Here is the data 0.75 0.74 0.75 0.84 0.63 0.69 0.83 0.9 0.09 0.4 0.37 0.44 0.85 0.78 0.42 0.91 0.92 0.84 0.91 0.81 0.89 0.37 0.9 0.38 0.45 0.38 0.42 0.82 0.11 0.42 0.39 0.11 0.1 0.84 0.43 0.75 0.37 0.1 0.44 0.25 0.44 0.37 0.58 0.4 0.51 0.8 0.42 0.31 0.44 0.83 0.75 0.93 0.81 0.87 0.78 0.84 0.69 0.61
Can you fill the table according to data? Thank you!
A researcher interested in determining if there is an association between head circumference and brain volume tested for linear correlation at the a= 0.05 significance level. She took a random sample of twenty adults and measured the head circumference and brain volume (using ultrasound) for each person in the sample. The table above gives the paired data for the twenty adults. The researcher determined there is positive linear correlation between head circumference and brain volume at the 0.05 level of significance. With that information answer the following questions. 1.) Since we've determined there is linear correlation between head circumference and brain volume from the output on the TI83/84 what is "a" the y-intercept of the regression line? A. a=.508 B. a=34.740 C. a=-110.572 D. a=-823.829 2. Since we've determined there is linear correlation between head circumference and brain volume from the output on the T183/84 what is "b" the slope of the regression? A. b=34.740 B. b=.508…
I. Chi Diana Vasqu Tim 5 of 9 (4 complete) ▼ i Data Table when stop bet 0.718 1.440 1.943 2.447 3.143 3.707 7 0.711 1.415 1.895 2.365 2.998 3.499 0.706 1.397 1.860 2.306 2.896 3.355 0.703 1.383 1.833 2.262 2.821 3.250 2.228 2.764 2.718 10 0.700 1.372 1.812 3.169 11 0.697 1.363 1.796 2.201 3.106 3.055 3.012 12 0.695 1.356 1.782 2.179 2.681 13 0.694 1.350 1.771 2.160 2.650 14 0.692 1.345 1.761 2.145 2.624 2.977 15 0.691 1.341 1.753 2.131 2.602 2.947 16 0.690 1.337 1.746 2.120 2.583 2.921. within your c 17 0.689 1.333 1.740 2.110 2.567 2.898 18 0.688 1.330 1.734 2.101 2.552 2.878 19 0.688 1.328 1.729 2.093 2.539 2.861 20 0.687 1.325 1.725 2.086 2.528 2.845 21 0.686 1.323 1.721 2.080 2.518 2.831 22 0.686 1.321 1.717 2.074 2.508 2.819 23 0.685 1.319 1.714 2.069 2.500 2.807 2.492 2.485 24 0.685 1.318 1.711 2.064 2.797 25 0.684 1.316 1.708 2.060 2.787 26 0.684 1.315 1.706 2.056 2.479 2.779 2.473 2.467 2.462 2.326 27 0.684 1.314 1.703 2.052 2.771 28 0.683 1.313 1.701 2.048 2.763 a signif 1.311…
Hours Spent in Child Care 5.5 11.4 2.1 11.0 7.2 5.1 9.1 10.2 2.9 8.7 10.0 9.0 9.8 9.4 3.1 8.5 9.6 10.6 7.6 8.9 10.7 6.0 0.6 3.7 9.8 3.3 3.5 5.0 3.3 10.3 7.3 6.9 6.1 4.3 0.8 6.9 8.1 1.3 1.6 9.8 Sample Size 40 Hypothesized Mean 6
Consider the below data: 62 / 78 / 84 / 62 / 72 / 78 / 54 /60 /78 / 80 The mode is: A. 54 B.80 C.62 D.78
What is the mode? Answer as an INTEGER. If necessary, round to the nearest integer. If it is not applicable or not available, type “na” instead.
A breeder of golden retriever dogs has kept records on litter size for several years. They want to know if litter size is dependent on parent age. Age of Sire 9.0 7.0 6.5 4.3 5.0 4.1 3.7 8.0 7.0 4.1 4.5 7.0 6.0 Age of Dam 2.0 2.5 4.0 3.3 6.0 5.0 4.5 4.1 8.2 2.4 2.9 3.7 4.0 Litter Size 11 10 9 12 5 9 9 8 7 10 12 10 9 b. Perform a regression analysis. Define your hypothesis, state your conclusions, and show all work.
A researcher hypothesizes that ambient air carbon monoxide pollution levels at a certain location should be higher in the winter than they are in the summer. The reasoning behind this hypothesis is that a major source of carbon monoxide in the air is from the incomplete combustion of fuels, and fuels tend to burn less efficiently at low temperatures. Moreover, it is felt that the stagnant winter air is more likely to trap the pollution. In order to investigate this hypothesis, the data set in DS 9.7.12 is collected which shows the ambient air carbon monoxide pollution levels (parts per million) for ten Sunday mornings in the middle of winter and ten Sunday mornings in the middle of summer.

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