Can a normal approximation be used for a sampling distribution of sample means from a population with μ=40 and σ=8 when n=9?
since if population is not normal, we are required that sample size should be at least 30 for normal approximation from central limit theorem
here sample size n does not exceed or equal to 30, therefore we can not use normal approximation unless population itself is normal
Can a normal approximation be used for a sampling distribution of sample means from a population...
Can a normal approximation be used for a sampling distribution of sample means from a population with μ=78 and σ=14, when n=81? why or why not?
Find the standard deviation of the sampling distribution of sample means using the given information. Round to one decimal place, if necessary. μ=48 and σ=9; n=9
Find the mean of the sampling distribution of sample means using the given information. Round to one decimal place, if necessary. μ=41 and σ=8; n=16
A population of values has a normal distribution with μ=134.3μ=134.3 and σ=62.4σ=62.4. You intend to draw a random sample of size n=137n=137.What is the mean of the distribution of sample means?μ¯x=μx¯= What is the standard deviation of the distribution of sample means?(Report answer accurate to 2 decimal places.)σ¯x=σx¯=
When we sketch a sampling distribution of means, we often assume it will be normal in its shape, especially with a large enough sample size used for sampling means, even if the population distribution of scores we drew samples from is not normal in its shape. What allows us to make this assumption?
1) Random samples of size n were selected from populations with the means and variances given here. Find the mean and standard deviation of the sampling distribution of the sample mean in each case. (Round your answers to four decimal places.) (a) n = 16, μ = 14, σ2 = 9 μ=σ= (b) n = 100, μ = 9, σ2 = 4 μ=σ= (c) n = 10, μ = 118, σ2 = 1 μ=σ= 3) A random sample of size...
Determine whether a normal sampling distribution can be used for the following sample statistics. If it can be used, test the claim about the difference between two population proportions p1and p2 at the level of significance α. Assume that the samples are random and independent. Claim: p 1 ≠ p2, α=0.01 Sample Statistics: x1=40, n1=69, x2=42, n2=59 Determine whether a normal sampling distribution can be used. 1) The samples are random and independent. A normal sampling distribution ______ be used...
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
Determine whether a normal sampling distribution can be used for the following sample statisics If it oan be used, test the claim about the difference between two population proportions p, and P2 at the level of significance a Assume that the samples are random and independent The samples are random and Independent A normal sampling distribultion (Round to two decimal places as needed.) can be used because n,p- 28.93,n-41.0 ngp 3306 nd 24-46.94 Sale กเติ and alternativo hypot eses, ส...
, Samples In 30) drawn from a uniform distribution la Minitab was used to generate the samples. es 300, b 500) Variables 15 Observations Variable TypeFormValues Missing Sample 1 Quantitative Sample 2 Quantitative Numeric Sample 3 Quantitative Numeric Sample 4 Quantitative Sample 5 ive Sample 6 Quantitative Sample 7 Quantitative Observations Sample 8 Quantitative Numeric Sample 9 Quantitative Sample 10 Quantitative Sample 11 Quantitative Sample 12 Quantitative Sample 13 Quantitative Sample 14 Quantitative Sample 15 Quantitative Numeric Numeric Variable Numeric...