If requirements hold true, the distribution of the sample means is, Exponential, Uniform, Normal, OR Discrete?
If requirements hold true, the distribution of the sample means is, Exponential, Uniform, Normal, OR Discrete?
The uniform, normal, and exponential distributions a. are all continuous probability distributions. b. are all discrete probability distributions. c. are all the same distributions. d. can be either continuous or discrete, depending on the data.
Question 1 1 pts Normal distribution is Discrete o Continuous Binomial Exponential
In SPC, the distribution of “sample means” Cannot be approximated by normal distribution. Will have greater variability than the process distribution. Will have a mean greater than the process distribution as a function of the sample size. Is exactly like the original distribution under all circumstances. None of the above is true.
Which of the following is true about the distribution of sample means? a.) The mean distribution of sample means is normally less than the population mean. b.) The mean distribution of sample means is more variable than population means. c.) The mean distribution of sample means is normally greater than the population mean. d.) The mean distribution of sample means is the same as the population mean.
Let X1, . . . , Xn be a random sample from the discrete uniform distribution on 1, 2, . . . , θ. Using the definition of sufficient statistic, show that X(n) is a sufficient statistic for θ.
8.4.20 Given the discrete uniform population shown to the right find the probability that a random sample of size 96, selected with replacement, will yield a sample mean greater than 9.2 but less than 9.9. Assume the means are measured to the nearest tenth. x 1, 9, 17 f(x)= 3 0, elsewhere Click here to view page 1 of the standard normal distribution table Click here to view page 2 of the standard normal distribution table The probability is (Round...
Under what circumstances will the distribution of sample means be normal? O Only if the population distribution is normal O It is always normal If the population is normal or if the sample size is greater than 3 O Only if the sample size is greater than 30
Which of the following is a true statement for any population with mean μ and standard deviation σ? I. The distribution of sample means for sample size n will have a mean of μ. II. The distribution of sample means for sample size n will have a standard deviation of. III. The distribution of sample means will approach a normal distribution as n approaches infinity.
If the distribution of the population is bimodal, then the sampling distribution for the sample means for this population with sample size 50 will be unimodal. True False
3. Normal Distribution for the sample means. The average teacher's salary in New Jersey (ranked first among states ) is $52174. Suppose that the distribution is normal with a standard deviation equation to $7500. If we sample 100 teachers' salaries , what is the probability that the sample mean is less than $50000?