Assume that a procedure yields a binomialdistribution with a trial repeated n = 5 times.Use some form of technology to find theprobability distribution given the probabilityp0.826 of success on a single trial.(Report answers accurate and rounded to 4decimal places.)k0 0.00541 0.03592 0.11533 0.23054 0.3305P(X = k)50.3024✓✓✓

Step 1:Here given binomial distribution with p=0.826 and sample size n=5For finding success on…

Answered: Assume that a procedure yields a…

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

Similar questions

Assume that a procedure yields a binomial distribution with a trial repeated n=10. Find the probability of X>5 successes given the probability p=0.36 of success on a single trial.(Report answer accurate to 3 decimal places.)P(X>5)=
The company that you work for requires that less than 3% (.03) of the microchips that you deliver are defective. If the percentage is not below 3%, you cannot ship the microchips. You collect a simple random sample of 430 microchips and find that 12 of them are defective. Conduct a hypothesis test with a a =.05 level of significance to determine if less than 3% of the microchips are defective. Write all non-calculation answers in complete sentences. a. Which test would you use and why? b. Write the null and alternative hypothesis in complete sentences. (Make sure you mark which is the null and which is the alternative.) c. Write the null and alternative hypothesis as symbols. d. State the requirements that have been met to run the test. e. What is the test statistic and the p-value? (Make sure you use the right notation.) f. Should you reject or fail to reject the null hypothesis? g. State the conclusion for the test.
The probability distribution of the random variable X represents the number of hits a baseball player obtained in a game for the 2012 baseball season. 1 4 P(x) 0.1666 0.3292 0.2779 0.1492 0.0366 0.0405 The probability distribution was used along with statistical software to simulate 25 repetitions of the experiment (25 games). The number of hits was recorded. Approximate the mean and standard deviation of the random variable X based on the simulation. The simulation was repeated by performing 50 repetitions of the experiment. Approximate the mean and standard deviation of the random variable. Compare your results to the theoretical mean and standard deviation. What property is being illustrated? Click the icon to view the data tables. Data tables (Round to three decimal places as needed.) Table of the numbers of hits for 25 games Approximate the mean of the random variable X based on the simulation for 25 games. 2 2 4 0| 2 3 2 Xx 1.400 hits 1 1 (Round to three decimal places as…
You are playing a card came, and the probability that you will win a game is p If you play the game 601 times, what is the most likely number of wins? (Round answer to one decimal place.) μl = Let X represent the number of games (out of 601) that you win. Find the standard deviation for the probability distribution of X. (Round answer to two decimal places.) 0= The range rule of thumb specifies that the minimum usual value for a random variable is u-20 and the maximum usual value is μ+20. You already found μ and o for the random variable X. 0.88. Use the range rule of thumb to find the usual range of X values. Enter answer as an interval using square- brackets and only whole numbers. usual values = Question Help: Written Example Message instructor Submit Question Jump to Answer
A random number generator picks a number from 6 to 65 in a uniform manner. Round answers to 4 decimal places when possible. The mean of this distribution is . The standard deviation is . The probability that the number will be exactly 48 is P(x=48)=P(x=48)= . The probability that the number will be between 17 and 22 is P(17<x<22)=P(17<x<22)= . The probability that the number will be larger than 50 is P(x>50)=P(x>50)= . P(x>24∣x<57)=P(x>24∣x<57)= . Find the 21st percentile. Find the minimum for the upper quarter.
Assume that a procedure yields a binomial distribution with n = 44 trials and the probability of success for one trial is p = 0.23. Find the mean for this binomial distribution. Round your answer to at least one decimal. μl Find the standard deviation for this distribution. Round your answer to at least two decimals. σ
The temperature in degrees Celsius at a certain location is normally distributed with a mean of 68 degrees and a standard deviation of 4 degrees. The probability that the temperature in degrees Celsius at the same location is greater than 76 degrees is 0.0228 0.1587 None of the other options 0.0062
The probability distribution of the random variable X represents the number of hits a baseball player obtained in a game for the 2012 baseball season. 1 2 4 P(x) 0.1666 0.3292 0.2779 0.1492 0.0366 0.0405 The probability distribution was used along with statistical software to simulate 25 repetitions of the experiment (25 games). The number of hits was recorded. Approximate the mean and standard deviation of the random variable X based on the simulation. The simulation was repeated by performing 50 repetitions of the experiment. Approximate the mean and standard deviation of the random variable. Compare your results to the theoretical mean and standard deviation. What propert is being illustrated? Click the icon to view the data tables. Data tables (Round to three decimal places as needed.) Table of the numbers of hits for 25 games Approximate the standard deviation of the random variable X based on the simulation for 25 games. 2 2 4 0 2 SN 1.190 hits 3 1 2 1 (Round to three decimal…
Find the probability that the value of the exponential random variable with mean rate of 3.2 will be having a value lower than 0.808
Randomly sample 256 items from a population where individuals have a normal distribution with a mean of 250 and a standard deviation of 80, find the following probability rounded to 4 decimal places. 230 235 240 z = -4 z = -2 P(Z < 252.4) 245 250 z = 0 255 260 265 z = 2 270 Z =
Assume the random variable X has a binomial distribution with the given probability of obtaining a success. Find the following probability, given the number of trials and the probability of obtaining a success. Round your answer to four decimal places n= 25, P= 0.30 Find P(X > 15)

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS