A recent survey reported that 36% of 18- to 29-year-olds in a certain country own tablets. Using the binomial distribution, complete parts (a) through (e) below. a. What is the probability that in the next six 18- to 29-year-olds surveyed, four will own a tablet? The probability is (Type an integer or a decimal. Round to four decimal places as needed.) b. What is the probability that in the next six 18- to 29-year-olds surveyed, all six will own a tablet? The probability is (Type an integer or a decimal. Round to four decimal places as needed.) c. What is the probability that in the next six 18- to 29-year-olds surveyed, at least four will own a tablet? The probability is nothing. (Type an integer or a decimal. Round to four decimal places as needed.) d. What are the mean and standard deviation of the number of 18- to 29-year-olds who will own a tablet in a survey of six?
A recent survey reported that 36% of 18- to 29-year-olds in a certain country own tablets. Using the binomial distribution, complete parts (a) through (e) below. a. What is the probability that in the next six 18- to 29-year-olds surveyed, four will own a tablet? The probability is (Type an integer or a decimal. Round to four decimal places as needed.) b. What is the probability that in the next six 18- to 29-year-olds surveyed, all six will own a tablet? The probability is (Type an integer or a decimal. Round to four decimal places as needed.) c. What is the probability that in the next six 18- to 29-year-olds surveyed, at least four will own a tablet? The probability is nothing. (Type an integer or a decimal. Round to four decimal places as needed.) d. What are the mean and standard deviation of the number of 18- to 29-year-olds who will own a tablet in a survey of six?
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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Continuous Probability Distributions
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Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
Question
A recent survey reported that
36%
of 18- to 29-year-olds in a certain country own tablets. Using the binomial distribution, complete parts (a) through (e) below.a. What is the probability that in the next six 18- to 29-year-olds surveyed, four will own a tablet?
The probability is
(Type an integer or a decimal. Round to four decimal places as needed.)
b. What is the probability that in the next six 18- to 29-year-olds surveyed, all six will own a tablet?
The probability is
(Type an integer or a decimal. Round to four decimal places as needed.)
c. What is the probability that in the next six 18- to 29-year-olds surveyed, at least four will own a tablet?
The probability is
nothing.
(Type an integer or a decimal. Round to four decimal places as needed.)
d. What are the mean and standard deviation of the number of 18- to 29-year-olds who will own a tablet in a survey of six?
The mean number of 18- to 29-year-olds who own tablets out of six surveyed is
nothing.
(Type an integer or a decimal. Round to four decimal places as needed.)
The standard deviation of the number of 18- to 29-year-olds who own tablets out of six surveyed is
nothing.
(Type an integer or a decimal. Round to four decimal places as needed.)
e. What assumptions do you need to make in (a) through (c)? Select all that apply.
The probability of an observation being classified as the event of interest,
π,
is constant from observation to observation.Each observation is classified into one of two mutually exclusive and collectively exhaustive categories.
The outcome of any observation is independent of the outcome of any other observation.
The outcome of any observation is dependent of the outcome of any other observation.
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