A sample of rental cars showed the following annual mileage (in thousands of miles)46.76834.81369.19436.92757.66636.00342.96137.19447.75041.73844.23934.05231.73154.66130.92847.84731.28638.81340.16632.90542.05749.83447.55637.72922.12040.82241.10462.39932.55043.5588The sum of x is,a1147.569 b1183.061 c1219.650 d1257.371

Answered: Image /qna-images/answer/ebf8b999-406d-40b1-87e6-5aebebbaa91a.jpg

Answered: sample of rental cars showed the…

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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An article gives the price-an estimated average for a 6-ounce can or a 7.06-ounce pouch-for 14 different brands of water- packed light tuna, based on prices paid nationally in supermarkets. 1.00 1.91 1.23 0.87 0.67 0.53 1.41 1.12 0.61 0.66 0.70 0.61 0.60 0.68 (a) Find the average price for the 14 different brands of tuna. (Round your answer to two decimal places.) $ (b) Find the median price for the 14 different brands of tuna. $ (c) Based on your findings in parts (a) and (b), do you think that the distribution of prices is skewed? Explain. More information is needed to determine skewness. O Since the mean is larger than the median, the distribution is skewed to the right. O Since the median is larger than the mean, the distribution is skewed to the left. O Since the mean and median are equal, the distribution is not skewed.
A sample of birth weights of 23 girls was taken. Below are the results (in g): 2343.1 3651.5 3043 2570.9 2555 2727.1 2985 2601.5 3772.8 3151.5 2773.3 2702.6 | 2776.9 3436.8 3028.4 3447.5 1838 3356.9 3405 3057.1 3405.5 3926.3 2426.7 * = 2999.2g s = 507.72 g Use a 10% significance level to test the claim that the standard deviation of birth weights of girls is different from the standard deviation of birth weights of boys, which is 550 g. Round all answers to 3 decimal places if possible.
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…
A sample of birth weights of 38 girls was taken. Below are the results (in g): 4002.7 3558.2 31 3104.4 3405.2 3094.4 3145.7 2903.5 3641.1 3530.4 2348.2 3027.4 3542.7 2151.5 3583.6 3280.3 4072.1 2989.5 3595.1 2444.4 3537.2 1969 3720.5 3440.5 3395.8 3323.1 3475.6 3159.5 3099.8 3070.7 2838.1 2997.8 2584 2577 2850.5 2995.6 2940.9 3845.8 3173.6 (Note: The average and the standard deviation of the data are respectively 3168.8 g and 480.8 g.) Use a 1% significance level to test the claim that the standard deviation of birthweights of girls is less than the standard deviation of birthweights of boys, which is 510 g. Procedure: Select an answer Assumptions: (select everything that applies) Population standard deviation is unknown The number of positive and negative responses are both greater than 10 O Population standard deviation is known Normal population Sample size is greater than 30 Simple random sample
A probability experiment consists of rolling a fair 8-sided die. Find the probability of the event below. rolling a number greater than 6 The probability is (Type an integer or decimal rounded to three decimal places as needed.)
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The following data represent the monthly phone use, in minutes, of a customer enrolled in a fraud prevention program for the past 20 months. The phone company decides to use the upper fence ad the cutoff point for the number of minutes at which the customer should be contacted. What is the cutoff point?
214.26 356.79 424.96 231.51 353.89 552.75 281.93 303.66 518.15 234.62 336.36 514.07 246.55 341.26 575.65 277.97 452.59 652.23 267.33 482.71 775.82 209.67 445.44 769.54 372.05 428.84 765.86 320.02 485.78 819.89. The table below contains the total cost ($) for four tickets to a basketball game purchased on the secondary market, two beers, two soft drinks, two hot dogs, and one parking space at each arena during a recent season. a. Organize these costs as an ordered array. b. Construct a frequency distribution and a percentage distribution for these costs. c. Around what values, if any, are at least 75% of the costs of attending the game concentrated? Explain. Question content area bottom Part 1 a. Organize these costs as an ordered array. enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your…
A random sample of soil specimens was obtained, and the amount of organic matter (%) in the soil was determined for each specimen, resulting in the accompanying data. 1.16 5.09 0.97 1.59 4.60 0.32 0.55 1.45 0.16 4.47 1.20 3.50 5.02 4.67 5.22 2.69 3.97 3.17 3.03 2.21 0.69 4.47 3.31 1.17 0.77 1.17 1.57 2.62 1.66 2.05 The values of the sample mean, sample standard deviation, and (estimated) standard error of the mean are 2.484, 1.612, and 0.294, respectively. Does this data suggest that the true average percentage of organic matter in such soil is something other than 3%? Carry out a test of the appropriate hypotheses at significance level 0.10. [Note: A normal probability plot of the data shows an acceptable pattern in light of the reasonably large sample size.] State the appropriate hypotheses. ⒸH₁: μ = 3 H₂:μ # 3 OH:μ #3 Ha: μ 3 t = P-value = Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal…

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46.768	34.813	69.194	36.927	57.666	36.003
42.961	37.194	47.750	41.738	44.239	34.052
31.731	54.661	30.928	47.847	31.286	38.813
40.166	32.905	42.057	49.834	47.556	37.729
22.120	40.822	41.104	62.399	32.550	43.558

8	The sum of x is,
a	1147.569
b	1183.061
c	1219.650
d	1257.371