suppose a random variable X follows a binomial distribution with parameters n=70 and p=0.60.use the normal distribution to approximate the probability p(34
Q: Assume the random variable x is normally distributed with mean u= 82 and standard deviation a =5.…
A: From the provided information, Mean (µ) = 82 Standard deviation (σ) = 5 X~N (82, 5)
Q: Assume the random variable x is normally distributed with mean u = 84 and standard deviation o = 5.…
A: Given that, Mean = 84 Standard deviation = 5
Q: The number of typhoon occurring in the Philippines in a particular month is known to conform to the…
A: Let X denote the number of typhoons in a particular month. Given that X follows Poisson with…
Q: Let X distributed as a Normal random variable with a mean of 19 and a standard deviation of 4. A)…
A:
Q: Let x be a random variable that represents the weights in kilograms (kg) of healthy adult female…
A: Given Information: Mean (u) = 62 kg Standard Deviation (s) = 9 kg Sample mean (x) = 63.8 kg…
Q: The number of sales in a day for a small company is a gamma random variable that has a distribution…
A: Introduction: The random variable, X representing the number of sales for a small company in a day,…
Q: Assume the random variable x is normally distributed with mean u = 50 and standard deviation o = 7.…
A: From the given information, Mean =50 and standard deviation =7.
Q: Assume a random variable X follows a Poisson distribution with a mean = 4.6. Find P(X= 3). P(X = 3)…
A: Given a random variable X follows a Poisson distribution with a mean = 4.6We need to find P(X =…
Q: Let x be a random variable that represents checkout time (time spent in the actual checkout process)…
A: Solution : The complete solution is given below in the attachment file.
Q: Assume that ? is a random variable has a gamma distribution with (alpha) = 3 and (beta) = 10. A)…
A: Here alpha = 3 , beta = 10 Mean = 3×10 = 30 Standard deviation = 10 √3 = 17.32
Q: If Z denoted the standard normal random variable, then P(-.58<Z<.23)
A: Given that Z denoted the standard normal random variable, then
Q: A random variable Y follows a binomial random distribution with parameters n=17 and p=0.9. Find…
A: probability mass function of B.D is = f ( k ) = ( n k ) p^k * ( 1- p) ^ n-kwhere k = number…
Q: Use the normal approximation to the binomial distribution to find the probability that, out of 1500…
A: Assuming that the probability of vaccine effect on each individual to be p=0.8 then assuming X is…
Q: The probability distribution of the random variable X represents the number of hits a baseball…
A:
Q: Assume that the random variable. Is normally distributed, with mean r= 100 and standard deviation a=…
A: Given μ=100σ=15 Z statistic is- Z=X-μσ
Q: Create an example for (a) poisson distribution and (b) gamma distribution. Then, for both examples,…
A: We have to obtain an example for Poisson and the Gamma distribution and obtain the exact probability…
Q: Let x be a random variable that represents white blood cell count per cubic milliliter of whole…
A: Hey there! Thank you for posting the question. Since your question has more than 3 parts, we are…
Q: Assume the random variable x is normally distributed with mean μ=82 and standard deviation σ=5. Find…
A:
Q: Assume the random variable x is normally distributed with mean u = 85 and standard deviation o = 4.…
A: Obtain the standard z-score for the random variable X equals 74. The standard z-score for the random…
Q: Assume the random variable x is normally distributed with mean u= 82 and standard deviation o =4.…
A: The random variable X follows normal distribution. The population mean is 82. The population…
Q: Consider a carnival game where a player is given two chances to throw a ball to hit a moving target.…
A:
Q: Let X be the scores on an achievement test given to a certain population of students, with the…
A: Population mean μ =500 Population standard deviation =20 Sample size n =25
Q: Assume the random variable x is normally distributed with mean u = 85 and standard deviation o = 4.…
A:
Q: The variable X denotes a binomial random variable with parameters n and p. Indicate which area under…
A: given data x is binomial distribution with parameter n and p . under normal approximation which area…
Q: Use the normal approximation to the binomial distribution to find the probability that, out of 1500…
A:
Q: A drug tester claims that a drug cures a rare skin disease 65 % of the time. The claim is checked…
A: The mean is, μ=np=100×0.65=65 The standard deviation is, σ=np1-p=100×0.65×1-0.65=22.75=4.7697 The…
Q: A grocery store manager states the the weight of an apple in ounces follows an unknown distribution…
A: We have given that Mean(µ) = 7.5Standard deviations (σ) = 1.33
Q: Let x be a random variable that represents checkout time (time spent in the actual checkout process)…
A: Since you have posted a question with multiple sub-parts, we will solve first three subparts for…
Q: The gestation period of humans follows a normal distribution with a mean of 266 days and a standard…
A:
Q: Assume a random variable X follows a Poisson distribution with a mean μ=2.6 P(X≤3)= Round each…
A: Given : a random variable X follows a Poisson distribution with a mean μ = 2.6 The formula for…
Q: The taxi and takeoff time for commercial jets is a random variable x with a mean of 8.6 minutes and…
A: Given, x is the taxi and takeoff time for commercial jets which follows normal distribution with-…
Q: let x be a random variable that represents the commute time of teachers in a large urban area. If x…
A:
Q: mean
A: Given that The mean (μ) equal to 10 and standard deviation (σ) equal to 2.
Q: Assume the random variable x is normally distributed with mean u=80 and standard deviation =5. Find…
A: Given that: X is normal Distributed with mean µ = 80.0 and standard deviation σ = 5.0 now will using…
Q: Assume the random variable x is normally distributed with mean u= 85 and standard deviation o = 5.…
A: Given : μ = 85 σ = 5 P(X<83) = PX-μσ<83-855
Q: Use a normal distribution as an approximation to the binomial probability distribution to…
A: Obtain the approximate probability of more than 13 successes in 20. The approximate probability of…
suppose a random variable X follows a binomial distribution with parameters n=70 and p=0.60.use the
![](/static/compass_v2/shared-icons/check-mark.png)
Step by step
Solved in 2 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
- In a certain communications system, there is an average of 1 transmission error per 10 seconds. Assume that the distribution of transmission errors is Poisson. The probability of 1 error in a period of one-half minute is approximately 0.1493 0.3333 0.3678 0.1336 0.03Suppose a fair coin is flipped 3000 times and counted the number of heads and tails. Using the normal approximation to the binomial distribution, find the probability that heads was flipped at least 2000 times.An unbalanced coin is tossed 10 times with a probability of heads p =0.73. Calculate P(x > 8) using the binomial distribution.
- Assume the random variable x is normally distributed with mean u = 85 and standard deviation o = 5. Find the indicated probability. P(70Assume that the random variable X is normally distributed, with mean r=60 and standard deviation a=16.Compute the probability P(X < 80).Suppose Y is a normally distributed random variable and Y=In(5X²). It is known that the mean and standard deviation of X are 10,000 and 20,000 respectively. a) Determine the probability that X exceeds 10,000. b) Determine the value which corresponds to 90% of exceedance probability for X.The variable X denotes a binomial random variable with parameters n and p. Indicate which area under the approximate normal curve would be determined to approximate the given binomial probability. P(X>18) The area between the lower delimiting x-value, and the upper delimiting x-value, would be determined to approximate the binomial probability P(X> 18). (Use integers or decimals for any numbers in the expressions. Do not round.)Assume the random variable x is normally distributed with mean μ = 82 and standard deviation σ = 5. Find the indicated probability. P(x < 78)(Don't Hand writing in solution. )Assume the random variable x is normally distributed with mean u = 88 and standard deviation o = 4. Find the indicated probability. P(75A normally distributed random variable X with variance o2=256 and P(X> 130)=0.9251. Then the mean of X is 498.64 106.96 -238.64 153.04Assume the random variable x is normally distributed with mean μ = 50 and standard deviation o = 7. Find the indicated probability. P(x > 36) P(x>36) = (Round to four decimal places as needed.)Assume the random variable x is normally distributed with mean u = 82 and standard deviation o = 5. Find the indicated probability. P(65SEE MORE QUESTIONSRecommended textbooks for youMATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th…StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C…StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage LearningElementary Statistics: Picturing the World (7th E…StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. FreemanMATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th…StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C…StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage LearningElementary Statistics: Picturing the World (7th E…StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman