The weights (in pounds) of 27 packages of ground beef in a supermarket meat display are as follows.1.06 0.99 0.97 1.20 1.391.060.91 0.91 0.980.911.16 1.40 0.75 0.96x + 2sx + 3s-X = 1.0567USE SALT1.101.260.98 1.14 0.90 1.18 1.19(a) Draw a stem and leaf plot or a relative frequency histogram to display the weights. Is the distribution relatively mound-shaNo, the distribution is skewed left.O Yes, the distribution is relatively mound-shaped.O No, the distribution is skewed right.0.851.10 0.85(b) Find the mean (in lb) of the data set. (Round your answer to four decimal places.)lb%%1.12 0.95 1.26%Find the standard deviation (in lb) of the data set. (Round your answer to four decimal places.)S = 0.1645lb(c) Find the percentage of measurements in the intervals x ±s, x ± 2s, and x ± 3s. (Round your answers to the nearest percenx+s

The data values are: 1.06, 0.99, 0.97, 1.20, 1.39, 1.26, 0.85, 1.06, 1.16, 1.40, 0.75, 0.96, 1.10,…

Answered: The weights (in pounds) of 27 packages…

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 survery revealed the amount of pocket money held by each student in a sample of students. The amounts in dollars are: 5,50, 10.20, 3.15, 6.08, 4.85, 4.80, 4.70, 8.52, 7.90, 6.10, 3.50, 5.40, 7.10, 9.60, 6.24, and 4.28. Assume s=2.25. What is the 98% confidence interval for the population mean?
7. A normal, adequately hydrated person excretes (Urinates) about 1500 mL of urine per day. A severely dehydrated person excretes only about 0.106 gallons per day. a. How many liters would the dehydrated person excrete per day? b. What is the difference in daily urine excretion between the two people in mL?
Hershey Kiss Weights in Grams4.764.724.744.554.914.744.784.714.804.784.784.754.794.824.914.834.684.744.704.804.704.764.704.834.934.744.844.824.764.774.724.784.834.754.744.684.844.714.714.764.664.784.734.744.924.774.804.794.864.644.784.704.754.784.764.834.664.774.834.784.694.814.684.784.884.724.854.854.814.744.804.824.844.704.854.704.814.724.794.734.61 Make a histogram of the data using 8-to-10 classes. You can either use Excel or hand-draw it. If you hand-draw it, make sure your picture or scan of the histogram is easy to read!
Listed below are body temperatures from five different subjects measured at 8 AM and again at 12 AM. Find the values of d and sd. In general, what does μd represent? Temperature (°F) at 8 AM 97.6 99.4 97.3 97.1 97.9 Temperature (°F) at 12 AM 98.2 99.9 97.6 96.7 98.3
Part 1: Recorded Weight of 20 pieces 1-peso coins using an Analytical Balance Specimen No. Weight, grams Specimen No. Weight, grams 1 6.0005 11 5.9999 2 6.1510 12 5.6999 3 5.8889 13 6.2000 4 5.8999 14 6.1002 5 5.9801 15 5.8899 6 5.9889 16 5.9786 7 6.0028 17 6.0105 8 5.8988 18 5.5989 9 5.1002 19 6.0006 10 6.1234 20 5.9987 Part 2: Statistical Analyses of data from part 1 Parameters Mean Median Range AD of 8th lowest data SD RSD Values
1. The 50 measurements of acid rain in Wisconsin, whose histogram is given on the cover page of the chapter, are 3.58 3.80 4.01 4.01 4.05 4.05 4.12 4.18 4.20 4.21 4.27 4.28 4.30 4.32 4.33 4.35 4.35 4.41 4.42 4.45 4.45 4.50 4.50 4.50 4.50 4.51 4.52 4.52 4.52 4.57 4.58 4.60 4.61 4.61 4.62 4.62 4.65 4.70 4.70 4.70 4.70 4.72 4.78 4.78 4.80 5.07 5.20 5.26 5.41 5.48 a. Calculate the median and quartiles. b. Find the 90th percentile. c. Determine the mean and standard deviation.
Name the type of Chi-square test based on the following table: Seed A Seed B Seed C Total Germinating 47 10 125 182 Not germinate 42 41 49 132 Total 89 51 174 314 a. Homogenous test b. Goodness-of-fit test c. Contingency test d. Test of independence
The weights (in pounds) of 27 packages of ground beef are listed here in order from smallest to largest. 0.70 0.78 0.92 0.94 0.84 0.94 0.87 0.88 0.91 0.91 0.92 0.93 0.94 1.11 1.13 1.23 1.03 1.17 1.17 1.09 1.19 1.22 1.13 1.19 1.33 1.43 1.46 USE SALT Find the sample mean (in lb). (Round your answer to four decimal places.) 1.048 Xlb Find the sample standard deviation (in lb). (Round your answer to four decimal places.) 0.2006 xlb Calculate the z-score for the smallest observation. (Round your answer to two decimal places.) 2--1.73 x Calculate the z-score for the largest observation. (Round your answer to two decimal places.) 2=2.05 x Are there any unusually large or small observations? Since the 2-score for the larger observation is larger than 2 in absolute value, the larger value is unusually large. Since the 2-score for the smaller observation is larger than 2 in absolute value, the smaller value is unusually small. Since both 2-scores exceed 2 in absolute value, both of the…
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