A distribution of staring salaries has a mean of $35,000 with a standard deviation of $7,000. what is the probability of a starting salary of $ 40,000 or higher?
A distribution of staring salaries has a mean of $35,000 with a standard deviation of $7,000....
The average starting salary of this year's vocational school graduates is $35,000 with a standard deviation of $5,000. Furthermore, it is known that the starting salaries are normally distributed. Below what starting salary does 5% of the graduates earn?
The distribution of weekly salaries at a large company is right-skewed with a mean of $1000 and a standard deviation of $350. a) Determine the sampling distribution of the mean salary for samples of size 60. b) If a sample of weekly salaries of 60 employees is randomly selected, what is the probability that the sample mean salary will be within $50 of the population mean $1000 (the mean weekly salary for all employees)?
A population of 29-year-old males has a mean salary of $28,975 with a standard deviation of $2,020. A sample of 100 29-year old males is taken. Assuming a normal distribution, what is the probability that their mean salaries will be less than $31,000?
The mean starting salary for college graduates in 2016 was $36,000. Assume that the distribution of starting salaries follows the normal distribution with a standard deviation of $3,000. 1.What is the probability that a graduate will have a starting salary more than $43,500? 2. What is the probability that a graduate will have a starting salary between $42,000 and $43,500? 3. What is the probability that a graduate will have a starting salary between $30,000 and $45,000? 4. What starting...
The distribution of weekly salaries at a large company is reverse J-shaped with a mean of $1000 and a standard deviation of $370. What is the probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75? 0.0698 0.9302 mm 0.4649 0.1606
A study on salaries of recent graduates from a certain college are normally distributed with mean and standard deviation . Use the information to answer questions #1-6. You may use manual, technology, or table for computation, but you need to show work to justify your computation. 1. Suppose your starting salary is $55,000. a. determine the z-score b. interpret your z-score in terms of percentile (ranking) in the context of the population. 2. Find proportion for which the salary of...
A population has a normal distribution with a mean of 50 and a standard deviation of 10. If a random sample of size 9 is taken from the population, then what is the probability that this sample mean will be between 48 and 54?
Assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probability. (Round your answer to four decimal places.) μ = 8; σ = 2 P(7 ≤ x ≤ 11) = Assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probability. (Round your answer to four decimal places.) μ = 6.0; σ = 1.4 P(7 ≤ x ≤ 9) = Assume that x has a normal...
Assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probability. (Round your answer to four decimal places.) H = 48; 0 = 16 P(40 sxs 47) = Assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probability. (Round your answer to four decimal places.) u = 14.6; 0 = 3.3 P(8 SX s 12) = Assume that x has a normal distribution with the...
Suppose Z has a standard normal distribution with a mean of 0 and a standard deviation of 1. The probability of 0.3483 corresponds to Z value being larger than what value? 0.39 -1.81 0.00 -0.39