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what is the set notation for the normal distribution, and what do the terms in the brackets mean
X ~ N (mew, sigma2)
where:
mew = the mean
sigma = the standard deviation
does the equal to part in an inequality matter in the N.D
no
in the N.D, can X acc be equal to a variable
no. its continuous data
for the inverse normal, what must the inequality be for it to come out correctly? show in an example
less than (or equal to)
P(X < b) = 0.95
this example above can be used in the normal to find out b
what is the set notation for the standard normal
Z ~ N(0,12)
what is the formula to turn a regular N.D into the Standard Normal

what are the steps involved when dealing with a standard normal question
what must u do if u dont know both the mean and S.D

what 2 conditions must be met to approximate a binomial distribution using the N.D
n (sample size) must be large
p (probability of success) must be close to 0.5
How can u find the mean / mew from the binomial distribution (whats the equation)

How can u find the standard deviation / sigma from the binomial distribution (whats the equation)

what must be done to the binomial cumulative probabilities when dealing with the normal
must do: continuity corrections
(kavs box /line method)
when finding the sample mean of a N.D, with sample size n, what will the new set notation for the X (bar) be?

what do the following mean?
X
X (bar)
x (lowercase and bar)

what symbol represents significance level?
alpha
for 2 tailed test, do u test only 1 part of the tail or both tails
only 1 part of the tail, based on the fact that:
if x(lower and bar) is greater than the set notation mean —> only test upper tail
if x(lower and bar) is lower than the set notation mean —> only test lower tail

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