Weights of 10 red and 36 brown randomly chosen M{\&}M plain candies are listed below. Red: 0.882 0.877 0.913 0.923 0.898 0.874 0.92 0.898 0.871 0.983 0.882 0.913 0.898 0.92 0.871 0.877 0.923 0.874 0.898 0.983 Brown: 0.913 0.877 0.988 0.93 0.902 0.898 0.92 0.914 0.931 0.909 0.902 0.872 0.889 0.867 0.985 1.001 0.923 0.955 0.876 0.858 0.928 0.929 0.912 0.866 0.93 0.86 0.9 0.921 0.897 0.904 0.986 0.857 0.915 0.871 0.909 0.905 0.913 0.92 0.889 0.876 0.93 0.986 0.877 0.914 0.867 0.858 0.86 0.857 0.988 0.931 0.985 0.928 0.9 0.915 0.93 0.909 1.001 0.929 0.921 0.871 0.902 0.902 0.923 0.912 0.897 0.909 0.898 0.872 0.955 0.866 0.904 0.905 1. To construct a 90% confidence interval for the mean weight of red M{\&}M plain candies, you have to use A. The t distribution with 9 degrees of freedom B. The t distribution with 11 degrees of freedom C. The t distribution with 10 degrees of freedom D. The normal distribution E. None of the above 2. To construct a 90% confidence interval for the mean weight of brown M{\&}M plain candies, you have to use A. The normal distribution B. The t distribution with 36 degrees of freedom C. The t distribution with 35 degrees of freedom D. The t distribution with 37 degrees of freedom E. None of the above

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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Weights of 10 red and 36 brown randomly chosen M{\&}M plain candies are listed below.

Red: 0.882 0.877 0.913 0.923 0.898 0.874 0.92 0.898 0.871 0.983 0.882 0.913 0.898 0.92 0.871 0.877 0.923 0.874 0.898 0.983
Brown: 0.913 0.877 0.988 0.93 0.902 0.898 0.92 0.914 0.931 0.909 0.902 0.872 0.889 0.867 0.985 1.001 0.923 0.955 0.876 0.858 0.928 0.929 0.912 0.866 0.93 0.86 0.9 0.921 0.897 0.904 0.986 0.857 0.915 0.871 0.909 0.905 0.913 0.92 0.889 0.876 0.93 0.986 0.877 0.914 0.867 0.858 0.86 0.857 0.988 0.931 0.985 0.928 0.9 0.915 0.93 0.909 1.001 0.929 0.921 0.871 0.902 0.902 0.923 0.912 0.897 0.909 0.898 0.872 0.955 0.866 0.904 0.905
1. To construct a 90% confidence interval for the mean weight of red M{\&}M plain candies, you have to use
A. The t distribution with 9 degrees of freedom
B. The t distribution with 11 degrees of freedom
C. The t distribution with 10 degrees of freedom
D. The normal distribution
E. None of the above
2. To construct a 90% confidence interval for the mean weight of brown M{\&}M plain candies, you have to use
A. The normal distribution
B. The t distribution with 36 degrees of freedom
C. The t distribution with 35 degrees of freedom
D. The t distribution with 37 degrees of freedom
E. None of the above

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.

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