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MIS 301 Shaul Quiz 2 Questions with complete solution 2024 £11.36   Add to cart
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MIS 301 Shaul Quiz 2 Questions with complete solution 2024

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MIS 301 Shaul Quiz 2 Questions with complete solution 2024 Central Limit Theorem - correct answer The theory that, as sample size increases, the distribution of sample means of size n, randomly selected, approaches a normal distribution. for a sample size to be normally distributed it must be...

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  • August 27, 2024
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  • mis 301 shaul quiz 2 questions with complete solut

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MIS 301 Shaul Quiz 2
Central Limit Theorem - correct answer ✔The theory that, as sample size
increases, the distribution of sample means of size n, randomly selected,
approaches a normal distribution.


for a sample size to be normally distributed it must be - correct answer
✔over 30


standard error of the mean - correct answer ✔the standard deviation of a
sampling distribution


standard error of the mean formula - correct answer ✔σ (subscript X bar) = σ
/square root of n


mu = x-bar +/- Z (subscript: α/2)* (σ/square root of n) - correct answer ✔x-
bar: sample mean
Z: confidence level coefficient
α: probability of an area beyond the confidence interval
σ/square root of n: standard error of the mean


confidence interval formula - correct answer ✔mu = x-bar +/- Z (subscript:
α/2)* (σ/square root of n)


if you increase the confidence level - correct answer ✔the probability of an
area beyond the confidence level drops


normal distribution formula - correct answer ✔Z = (x-mu)/σ

, Z = (x-mu)/σ - correct answer ✔X :random variable
mu: population mean
σ: standard deviation


sample mean formula - correct answer ✔t = (x-bar-mu)/(s/square root of n)


t = (x-bar-mu)/(s/square root of n) - correct answer ✔x-bar: random variable
mu: population mean
(s/square root of n): standard error of the mean


properties of the t-distribution - correct answer ✔- symmetrical, bell shaped
- mean= 0, SD> 1
- shape changes depend on sample size
- as n decreases, variation goes up
- accounts for the greater uncertainty associated with small samples


when to use t-distribution - correct answer ✔when the sample is less than 30
and we don't have sigma


you can either have a _______ confidence level and a _______ confidence
interval or vice versa but you can't have both - correct answer ✔high; large


95% CL - correct answer ✔z = 1.96


90% CL - correct answer ✔z = 1.645

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