Suppose that X has a distribution with m=72 and s=8 (greek symbols) if random samples of...
Suppose x has a distribution with u = 85 and 6 = 11. (a) If random samples of size n = 16 are selected, can we say anything about the x distribution of sample means? Yes, the x distribution is normal with mean = 85 and 0 , = 2.75. • No, the sample size is too small. Yes, the x distribution is normal with mean = 85 and x = 11. Yes, the x distribution is normal with mean...
Suppose x has a distribution with μ = 82 and σ = 9. (a) If random samples of size n = 16 are selected, can we say anything about the x distribution of sample means? Yes, the x distribution is normal with mean μx = 82 and σx = 0.6.No, the sample size is too small. Yes, the x distribution is normal with mean μx = 82 and σx = 2.25.Yes, the x distribution is normal with mean μx = 82...
Suppose x has a distribution with μ = 35 and σ = 18. (a) If random samples of size n = 16 are selected, can we say anything about the x distribution of sample means? Yes, the x distribution is normal with mean μ x = 35 and σ x = 4.5. No, the sample size is too small. Yes, the x distribution is normal with mean μ x = 35 and σ x = 18. Yes, the x distribution...
Suppose x has a distribution with μ = 32 and σ = 17. (a) If random samples of size n = 16 are selected, can we say anything about the x distribution of sample means? No, the sample size is too small. Yes, the x distribution is normal with mean μ x = 32 and σ x = 17. Yes, the x distribution is normal with mean μ x = 32 and σ x = 1.1. Yes, the x distribution...
Suppose \(x\) has a distribution with \(\mu=51\) and \(σ=2\). (a) If random samples of size \(n=16\) are selected, can we say anything about the \(\bar{X}\) distribution of sample means? Q Yes, the \(\bar{x}\) distribution is nomal with mean \(\mu \bar{x}=61\) and \(\sigma \bar{x}=2\). 0 Yes, the \(\bar{x}\) distribution is normal with mean \(\mu \bar{x}=61\) and \(\sigma \bar{x}=0.1\). 9. No, the sample size is too small. Ye yes, the \(\bar{x}\) distribution is normal with mean \(\mu \bar{x}=61\) and \(\sigma_{x}=0.5\). (b) If...
4. Assume that x has a normal distribution with u = 2.8 and o = 0.33. Find Plx 22). A. 0.9922 B. 0.6485 C. 0.4523 D. 0.0078 Suppose x has a distribution with u = 54 and o = 4. If random samples of size n = 16 are selected, can we say anything about the x distribution of sample means? A. Yes, the x distribution is normal with mean Hz = 54 and 0 = 1. B. Yes, the...
Suppose an x distribution has mean μ = 4. Consider two corresponding x distributions, the first based on samples of size n = 49 and the second based on samples of size n = 81. (a) What is the value of the mean of each of the two x distributions? For n = 49, μ x = For n = 81, μ x = Suppose the heights of 18-year-old men are approximately normally distributed, with mean 70 inches and standard...
Suppose x has a distribution with a mean of 70 and a standard deviation of 20. Random samples of size n = 64 are drawn. (a) Describe the distribution. x has a geometric distribution. has a normal distribution. x has an unknown distribution. x has a Poisson distribution. X has an approximately normal distribution. x has a binomial distribution. Compute the mean and standard deviation of the distribution. (For each answer, enter a number.) Hy = Oz = (b) Find...
1. X ~ N(50, 12). Suppose that you form random samples of 25 from this distribution. Let X be the random variable of averages. Let ΣX be the random variable of sums.Sketch the graph, shade the region, label and scale the horizontal axis for X, and find the probability. (Round your answer to four decimal places.) P(8 < X < 47) = 2.Some statistics students estimated that the amount of change daytime statistics students carry is exponentially distributed with a...
Page 1 Question 1 Suppose we take repeated random samples of size 20 from a population with a Select all that apply. mean of 60 and a standard deviation of 8. Which of the following statements is 10 points true about the sampling distribution of the sample mean (x)? Check all that apply. A. The distribution is normal regardless of the shape of the population distribution, because the sample size is large enough. B. The distribution will be normal as...