Heights of adult males are known to have a normal distribution. A researcher claims to have randomly selected adult males and measured their heights with the resulting relative frequency distribution as shown here. Identify two major flaws with these results. Heights of adult males are known to have a normaldistribution. A researcher claims to have randomly selectedadult males and measured their heights with the resultingrelative frequency distribution as shown here. Identify twomajor flaws with these results....RelativeHeight (cm) Frequency24%26%130-144145-159160-174175-189190-20422%27%29%Select all that apply.A. All of the relative frequencies appear to be roughly the same. If they are from a normal distribution, theyshould start low, reach a maximum, and then decrease.B. The classes do not allow for the possibility that an adult male could be between 144 cm and 145 cm tall, orbetween 159 cm and 160 cm tall, and so on.C. The classes do not allow for the possibility that an adult male could be less than 130 cm tall or greater than204 cm tall.D. The sum of the relative frequencies is 128%, but it should be 100%, with a small possible round-off error.☐E. All of the relative frequencies are different. If they are from a normal distribution, they should all be exactlythe same.F. The relative frequencies were recorded as percents instead of counts.

We have given the following table Height (cm) Relative Frequency 130-144 24% 145-159 26%…

Answered: Heights of adult males are known to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

100%

Heights of adult males are known to have a normal distribution. A researcher claims to have randomly selected adult males and measured their heights with the resulting relative frequency distribution as shown here. Identify two major flaws with these results.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Expert Solution