A study of elite distance runners found a mean body weight of 63.1 kilograms (kg), with a standard deviation of 4.8 kg.Assuming that the distribution of weights is approximately Normal, make and upload an accurate sketch of the weight distribution with the horizontal axismarked in kilograms.Previoustructure.com/taking/893438/take#S4b↑Drag n' Drop here or BrowseDELLOmctrlNext

Given that Mean = 63.1 kilogram Standard deviation = 4.8 kilogram

Answered: A study of elite distance runners found…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Find the indicated IQ score. The graph to the right depicts IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15. Click to view page 1 of the table. LOADING... Click to view page 2 of the table. LOADING... x 0.9 A graph with a bell-shaped curve, divided into 2 regions by a line from top to bottom, on the left side. The region right of the line is shaded and labeled 0.9. The x-axis below the line is labeled "x". Question content area bottom Part 1 The indicated IQ score, x, is enter your response here. (Round to one decimal place as needed.)
The table below displays the mean and mean absolute deviation (MAD) of the distance (in miles) covered on the treadmill by Laura, Jayden, and Emma during their gym time for 7 consecutive days. Who has the greatest variability in the distance covered on the treadmill? On average, who covers the farthest distance? Who is the most consistent runner?
Assume the birth weights at a local hospital have a normal distribution with a mean of 110 oz and a standard deviation of 15 oz. Draw a normal curve and label the mean and each value which is one, two, or three standard deviations above the mean. Then label each value which is one, two, or three standard deviations below the mean.
Assume that a randomly selected subject is given a bone density test. Bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1. Draw a graph and find P9, the 9th percentile. This is the bone density score separating the bottom 9% from the top 91%. Which graph represents P9? Choose the correct graph below.
Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. a. List the z scores for the normal quantile plot. (Round to two decimal places as needed. Use ascending order.) b. identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form (x,y), where x is the sorted arm circumferences in ascending order, and y is the corresponding z score. (Round to two decimal places as needed. Use ascending order.)
The quantitative subtest of the Graduate Record Exam (GRE) has a mean of 500 and a standard deviation of 100. What GRE score would correspond to a z score of 1.50? a. 600 b. 500 c. 340 d. 650
The data represents the daily rainfall (in inches) for one month. Construct a frequency distribution beginning with a lower class limit of 0.00 and use a class width of 0.20. Does the frequency distribution appear to be roughly a normal distribution?
The shelf life of a batteries produced by one major company are normally distributed with a mean of 4.3 years and a standard deviation of 0.6 years. The figure below shows the distribution of shelf lives of batteries produced by one major company. Calculate the shaded area under the curve. Answer:
Which of the following calculations is used to describe the accuracy of a series of measurements? Standard deviation Percent error Relative standard deviation R-squared Slope
Use the Weibull distribution to model ocean wave heights. Assume that the mean wave height at the observation station is 2.5 meters and the shape parameter equals 2. Determine the standard deviation of wave height.
Help me find which A,B,C, or D is the correct answer to the last part please. The brain volumes (cm3) of 50 brains vary from a low of 904 cm3 to a high of 1490 cm3. Use the range rule of thumb to estimate the standard deviation s and compare the result to the exact standard deviation of 191.4 cm3, assuming the estimate is accurate if it is within 15 cm3. The estimated standard deviation is 146.5 cm3. A. The approximation is not accurate because the error of the range rule of thumb's approximation is greater than 15 cm3. B. The approximation is not accurate because the error of the range rule of thumb's approximation is less than 15 cm3. C. The approximation is accurate because the error of the range rule of thumb's approximation is greater than 15 cm3. D. The approximation is accurate because the error of the range rule of thumb's approximation is less than 15 cm3.
Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. 44.2, 34.5, 38.2, 32.7, 40.9 Part A- List the z scores for the normal quantile plot. Part B- Identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form (x,y), where x is the sorted arm circumferences in ascending order, and y is the corresponding z score. Part C- Do the data come from a normally distributed population?

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