The frequency distribution was obtained using a class width of 0.5 for data on cigarette tax rates. Use the frequency distribution to approximate the population mean and populationstandard deviation Compare these results to the actual mean µ = $1.667 and standard deviation o=$1.073.Click the icon to view the frequency distribution for the tax rates.The population mean is $(Round to three decimal places as needed)The population standard deviation is $(Round to three decimal places as needed.)Compare these results to the values found using the actual data.OA. The grouped values are both slightly larger.OB. The grouped values are both slightly smaller.OC. The grouped mean is slightly larger, while the grouped standard deviation is slightly smaller.OD. The grouped mean is slightly smaller, while the grouped standard deviation is slightly larger.Frequency distribution of cigarette tax ratesTax Rate0.00 0.490.50-0.991.00-1.491.50-1.992.00-2.492.50-2.993.00-3.493.50-3.994.00-4.49Frequency5158666332

Given,The actual mean, μ = 1.667The actual standard deviation, σ = 1.073Frequency distribution table…

Answered: The frequency distribution was obtained…

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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The frequency distribution was obtained using a class width of 0.5 for data on cigarette tax rates. Use the frequency distribution to approximate the population mean and population standard deviation. Compare these results to the actual mean u = $1.727 and standard deviation o = S1.041. E Click the icon to view the frequency distribution for the tax rates. Frequency distribution of cigarette tax rates The population mean is $ Tax Rate 0.00-0.49 0.50-0.99 1.00-1,49 1.50-1.99 2.00-2.49 2.50-2.99 3.00-3.49 3.50-3.99 Frequency D (Round to three decimal places as needed.) 5 15 The population standard deviation is S (Round to three decimal places as needed.) Compare these results to the values found using the actual data. O A. The grouped mean is slightly larger, while the grouped standard deviation is slightly smaller. O B. The grouped values are both slightly larger. O C. The grouped values are both slightly smaller. O D. The grouped mean is slightly smaller, while the grouped standard…
need range and standard deviation
Run the descriptive statistics for hrs/week of exercise. Include the mean, median, quartiles, min, max, standard deviation and IQR. First do this for hrs/week of exercise overall. Copy and paste the values below. Then redo this splitting up the data by sex. Copy and paste that below too. What similarities and/or differences do you see? Age Gender Height Arm Length Number Siblings Birth Order Handedness Number Classes Number Credits Hrs. Exercise Athlete at Broome Hrs. TV Award Pulse Number Piercings Facebook Friends Followers on Instagram Tattoo Division Local section 18 f 63 27.5 2 3 r 4 14 1.5 n 3 NP 74 2 82 72 n HS y 4 19 m 74 31.5 4 5 r 4 11 5 n 1.5 O 0 600 700 n STEM y 4 17 f 66 29.2 2 2 l 6 15 5 y 21 NP 64 2 1801 1370 n HS y 4 18 f 66 30 5 5 r 4 12 30 n 15 NP 91 1…
Use the birth weights (grams) of 50 babies from the data set "Births." Use software or a calculator to find the mean and median. Examine the list of birth weights to make an observation about those numbers. How does that observation affect the way that the results should be rounded? Click the icon to view the birth weight data. - X The mean birth weight is Birth weights (grams) grams. (Round to one decimal place as needed.) 300 4900 4000 3600 3400 3000 3700 2900 3700 3100 3400 3500 4100 3200 2900 2800 3500 3100 3300 3800 3800 2300 3300 2600 2400 3400 3300 4000 2800 3600 3100 2800 2800 2500 2600 2700 2600 3000 2900 3600 300 3400 3500 3400 3600 3400 3200 2600 3600 3500
Construct a normal quantile-quantile plot of the values provided in the accompanying data set, which represent the diameters of 36 rivet heads in 1/100 of an inch. Click the icon to view the diameter data. Choose the correct graph below. A. Normal Quantile-Quantile Plot Normal Quantile-Quantile Plot 5.95- 5.85- 5.75- 5.65- 0.2 0.4 0.6 0.8 1 5.65 5.75 5.85 5.95 Theoretical Quantities Theoretical Quantities D. Normal Quantile-Quantile Plot Normal Quantile-Quantile Plot 5.95- 1- 5.85- 0.5- 5.75- • 000 0- 5.65- -2 5.95 -1 1 5.65 5.75 5.85 Theoretical Quantities Theoretical Quantities Diameter data 5.83 5.77 5.81 5.73 5.73 5.75 5.85 5.84 5.83 5.89 5.71 5.83 5.71 5.81 5.87 5.81 5.84 5.74 5.83 5.84 5.78 5.76 5.71 5.87 5.82 5.78 5.75 5.82 5.89 5.79 Help me solve this View an example Get m 5.71 5.85 5.85 5.78 5.76 5.71 C. Sample Quantities Sample Quantities B. Sample Quantities Sample Quantities of
Use the Histogram tool to develop a frequency distribution and histogram for the number of months as a customer of the bank in the data below. Compute the relative and cumulative relative frequencies and use a line chart to construct an ogive. Complete the frequency distribution for the months as a customer, and compute the relative and cumulative relative frequencies. (Type integers or decimals rounded to three decimal places as needed.) Bins Frequency Relative Frequency Cumulative Relative Frequency 10 enter your response here enter your response here enter your response here 20 enter your response here enter your response here enter your response here 30 enter your response here enter your response here enter your response here 40 enter your response here enter your response here enter your response here 50 enter your response here enter your response here enter your…
For the data described below, identify the level of measurement as nominal, ordinal, interval, or ratio. Final course grades of A, B, C, D, or F Choose the correct answer below. ratio nominal ordinal O interval
The number of cans of soft drinks sold in a machine each week is recorded below. Develop forecasts for the period indicated and error calculations. 155, 145, 155, 162, 180, 165, 172, 149, 170, 172 Exponential smoothing. Use an alpha level of .3 What is the Mean Squared Error (MSE) What is the Mean Absolute Percentage Error (MAPE)
Find the mean of the data summarized in the given frequency distribution. Compare the computed mean to the actual mean of 51.9 miles per hour. Speed (miles per hour) Frequency 42 - 45 46-49 50 - 53 54 -57 58 -61 25 15 The mean of the frequency distribution is miles per hour. (Round to the nearest tenth as needed.)
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The numbers of courses taught per semester by a random sample of university professors are shown in the histogram. Make a frequency distribution for the data. Then use the table to estimate the sample mean and the sample standard deviation of the data set. Make a frequency distribution for the data. X 1 3 f Number of professors 25- 20- 15- 10- 4 20 23 15 1 2 3 4 Number of courses taught per semester
Use the data in the following table, which lists carbon dioxide concentrations (in parts per million) for each year from 1960 to 2009, with projected values used for the last four years. After finding the values of the mean and range for each decade, find the values of x, and R. Also find the values of LCL and UCL for an R chart, and find the values of LCL and UCL for an x chart. 1960s 318.4 319.5 321.8 322.9 324.8 325.4 326.9 328.5 330.3 331.4 1970s 333.4 334.6 335.5 337.1 339.3 340.4 341.4 343.1 344.7 346.5 1980s 348.1 348.8 351.2 352.1 353.8 355.4 356.9 358.5 359.8 360.6 1990s 361.9 363.6 365.8 366.7 368.6 369.2 371.7 372.4 373.5 375.2 2000s 377.6 378.7 379.6 381.8 382.8 384.2 386.3 387.6 388.7 390.5 x=enter your response here (Round to three decimal places as needed.) Part 2 R=enter your response here (Round to two decimal places as needed.) Compute the values of LCL and UCL for an R chart. LCL=enter your response here, UCL=enter your response here (Round to…

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