Question

In: Statistics and Probability

A population has a mean of 74 with a standard deviation of 9.8. a.) what is...

A population has a mean of 74 with a standard deviation of 9.8.

a.) what is the probability that one element of the population selected at random is between 70 and 91?

b.) what is the probability that a random sample of 36 from this population has a sample mean between 73 and 79?

Solutions

Expert Solution

Solution :

Given that ,

mean = = 74

standard deviation = = 9.8

a.)

P(70 < x < 91) = P[(70 - 74)/ 9.8) < (x - ) /  < (91 - 74) / 9.8) ]

= P(-0.41 < z < 1.73)

= P(z < 1.73) - P(z < -0.41)

= 0.9582 - 0.3409

= 0.6173

Probability = 0.6173

b.)

= / n = 9.8 / 36 = 1.6333

= P[(73 - 74) /1.6333 < ( - ) / < (79 - 74) / 1.6333)]

= P(-0.61 < Z < 3.06)

= P(Z < 3.06) - P(Z < -0.61)

= 0.9989 - 0.2709

= 0.7280

Probability = 0.7280   


Related Solutions

A population has a mean of 74 with a standard deviation of 9.8. a) What is...
A population has a mean of 74 with a standard deviation of 9.8. a) What is the probability that one element of the population selected at random is between 70 and 91? b) What is the probability that a random sample of 36 from this population has a sample mean between 73 and 79?
The mean of a population is 74 and the standard deviation is 16. The shape of...
The mean of a population is 74 and the standard deviation is 16. The shape of the population is unknown. Determine the probability of each of the following occurring from this population. a. A random sample of size 32 yielding a sample mean of 78 or more b. A random sample of size 130 yielding a sample mean of between 71 and 76 c. A random sample of size 219 yielding a sample mean of less than 74.7 (Round all...
The mean of a population is 74 and the standard deviation is 16. The shape of...
The mean of a population is 74 and the standard deviation is 16. The shape of the population is unknown. Determine the probability of each of the following occurring from this population. a. A random sample of size 32 yielding a sample mean of 76 or more b. A random sample of size 130 yielding a sample mean of between 72 and 76 c. A random sample of size 220 yielding a sample mean of less than 74.3
A normally distributed population has a mean of 74 and a standard deviation of 14. Determine...
A normally distributed population has a mean of 74 and a standard deviation of 14. Determine the probability that a random sample of size 24 has an average between 71 and 80. Round to four decimal places.
A random sample is drawn from a population with mean μ = 74 and standard deviation...
A random sample is drawn from a population with mean μ = 74 and standard deviation σ = 6.2. [You may find it useful to reference the z table.] a. Is the sampling distribution of the sample mean with n = 18 and n = 47 normally distributed? Yes, both the sample means will have a normal distribution. No, both the sample means will not have a normal distribution. No, only the sample mean with n = 18 will have...
A normal population has mean =μ63 and standard deviation =σ16 (a) What proportion of the population...
A normal population has mean =μ63 and standard deviation =σ16 (a) What proportion of the population is greater than 100 (b) What is the probability that a randomly chosen value will be less than 80
A population has a mean of 180 and a standard deviation of 36. A sample of...
A population has a mean of 180 and a standard deviation of 36. A sample of 84 observations will be taken. The probability that the sample mean will be between 181 and 185 is
A population has a normal distribution with a mean of 51.4 and a standard deviation of...
A population has a normal distribution with a mean of 51.4 and a standard deviation of 8.4. Assuming n/N is less than or equal to 0.05, the probability, rounded to four decimal places, that the sample mean of a sample size of 18 elements selected from this population will be more than 51.15 is?
A Population has a mean of 50 and a standard deviation of 15. If a random...
A Population has a mean of 50 and a standard deviation of 15. If a random sample of 49 is taken, what is the probability that the sample mean is each of the following a. greater than 54 b. less than 52 c. less than 47 d. between 45.5 and 51.5 e. between 50.3 and 51.3
A population has a mean of 180 and a standard deviation of 24. A sample of...
A population has a mean of 180 and a standard deviation of 24. A sample of 64 observations will be taken. The probability that the sample mean will be between 183 and 186 is
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT