In a survey of a group of men, the heights in the 20-29 age group were normally distributed, with a mean of 68.2inches and a standard deviation of 2.0 inches. A study participant is randomly selected. Complete parts (a)through (d) below.(a) Find the probability that a study participant has a height that is less than 5 inches.The probability that the study participant selected random is less than 65 inches tall is 0.0548. (Round to fourdecimal places as needed.)(b) Find the probability that a study participant has a height that is between 65 and 71 inches.random is between 65 and 71 inches tall is 0.8644. (Round toThe probability that the study participant selectedfour decimal places as needed.)(c) Find the probability that a study participant has a height that is more than 71 inches.The probability that the study participant selected t random is more than 71 inches tall is. (Round to four decimalplaces as needed.)Clear allCheck answer

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Answered: In a survey of a group of men, the…

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 length of a fully grown nibiscus plants is normally distributed and has a mean of 35cm. It is found that 5% of these plants are longer than 45cm. i. When plants are chosen for sale, those shorter than 30cm are rejected. Find the probability that a plant will be rejected. Find the standard deviation o. ii.
The following table represents the number of free throws a typical NBA player makes in three attempts. Free Throws Made 0 1 2 3 Probability 0 0.3 0.4 What is the probability needed in order to make this a valid probability distribution? 0.4 0.2 1 0 None of the above What is the mean of this distribution? 0.25 0.233 1.5 2 None of the above What unit of measurement does the standard deviation have? No unit of measurement Free throws Square root of free throws Free throws squared None of the above, as it depends on the situation
In a survey of a group of men, the heights in the 20-29 age group were normally distributed, with a mean of 69.1 inches and a standard deviation of 2.0 inches. A study participant is randomly selected. Complete parts (a) through (d) below. ... (a) Find the probability that a study participant has a height that is less than 65 inches. The probability that the study participant selected at random is less than 65 inches tall is 0.0202. (Round to four decimal places as needed.) (b) Find the probability that a study participant has a height that is between 65 and 71 inches. The probability that the study participant selected at random is between 65 and 71 inches tall is 0.8088. (Round to four decimal places as needed.) (c) Find the probability that a study participant has a height that is more than 71 inches. The probability that the study participant selected at random is more than 71 inches tall is (Round to four decimal places as needed.) .
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At one college, GPA's are normally distributed with a mean of 3 and a standard deviation of 0.6. Fill in the blanks, 99.7% of GPAs are between ____ and ____. A. 1.8, 4.2 B. 3, 3.6 C. 2.4, 3.6 D. 1.2, 4.8
Use z scores to compare the given values. The tallest living man at one time had a height of 225 cm. The shortest living man at that time had a height of 104.3 cm. Heights of men at that time had a mean of 173.55 cm and a standard deviation of 5.15 cm. Which of these two men had the height that was more extreme? Since the z score for the tallest man is z= and the z score for the shortest man is z= the V man had the height that was more extreme. (Round to two decimal places.)
In a survey of a group of men, the heights in the 20-29 age group were normally distributed, with a mean of 67.7 inches and a standard deviation of 3.0 inches. A study participant is randomly selected. Complete parts (a) through (d) below. (b) Find the probability that a study participant has a height that is between 65 and 71 inches. The probability that the study participant selected at random is between 65 and 71 inches tall is nothing. (Round to four decimal places as needed.)
The football coach randomly selected fifteen players and timed how long each player took to perform a certain drill. The times (in minutes) were: 3.5, 3.3, 3.2, 4.7, 4.4, 3.5, 3.9, 4.5, 4.8, 5.2, 5.4, 4.0, 4.3, 4.1, 5.1 (a) Show that this data approximates a normal distribution. (b) Determine a 90% confidence interval for the mean time for all players.
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Use z scores to compare the given values. The tallest living man at one time had a height of 238 cm. The shortest living man at that time had a height of 142.4 cm. Heights of men at that time had a mean of 175.45 cm and a standard deviation of 5.59 cm. Which of these two men had the height that was more extreme? ... Since the z score for the tallest man is z = 0 and the z score for the shortest man is z = the man had the height that was Im- more extreme. (Round to two decimal places.) shortest tallest
In a survey of a group of men, the heights in the 20-29 age group were normally distributed, with a mean of 69.6 inches and a standard deviation of 4.0 inches. A study participant is randomly selected. Complete parts (a) thvough (a below (a) Find the probability that a study participant has a height that is less than 66 inches. The probability that the study participant selected at random is less than 66 inches tall is 0.1841. (Round to four decimal places as needed.) (b) Find the probability that a study participant has a height that is between 66 and 71 inches. The probability that the study participant selected at random is betweEen 66 and 71 inches tall is (Round to four decimal places as needed.)

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