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To find the probability that a sample mean will be within a given range:
normalcdf(LB, UB, mean, SD/SQROOT N)

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Find out which data value is in a certain percentile:

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Find out which data value is in a certain percentile:

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c=(np)/100 ; if this is a whole number, count to that value in the list and average it with the next
if the c is a decimal, round up to next whole number and count to that value in the list.

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p=(# values below +0.5)/n
then x 100

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min
Q1,
Q2,
Q3,
Max

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Z-Score: tells you how many deviations away from the mean a data value is.

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Z-Score: tells you how many deviations away from the mean a data value is.

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z = (x-mean)/SD

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Mean = np
standard deviation = square root of np(1-p)

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Find the data values associated with a certain normal %:

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Find the data values associated with a certain normal %:

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Invnorm(Area to left, mean, standard deviation).

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Find probabilities with normalcdf (lower bound, upper bound, mean, standard deviation)

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Find probabilities with normalcdf (lower bound, upper bound, mean, standard deviation)

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P(76<x<92) = normalcdf (76, 92, mean, standard deviation)
P(x<74) = normalcdf (-E99, 74, mean, standard dev)
P(x>66) = normalcdf (66, E99, mean, Standard dev)

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68% of data lies within 1 standard deviation of the mean and 95% of data lies within two deviations of the mean.

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Find mean, median, standard deviation on calc:

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Find mean, median, standard deviation on calc:

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STAT->EDIT : enter data
STAT->CALC->1-VarStats

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"If zero is contained in the interval, then accept the null."

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"If zero is contained in the interval, then accept the null."

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How to interpret a confidence interval for two parameters.

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H0: =; >=; <=
H1: not=; <; >

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put THAT on the note sheet

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P(exactly x successes) = Binompdf(n, p, x)
P(at most x successes) = Binomcdf(n, p, x)
P(at least x successes) = 1 - Binomcdf(n, p, x-1)
P(more than x successes) = 1- Binomcdf(n, p, x)
P(less than x successes) = Binomcdf(n, p, x-1)

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How to find n, the sample size when you are dealing with proportions.

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n = (Z*SD)/E then square the whole thing

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n = (Z*SD)/E then square the whole thing

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How to find n, the sample size when you are dealing with means.
90% C-level; Z = 1.65
95% C-level; Z = 1.96
99% C-Level; Z = 2.58

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O give is another name for a cumulative freq graph

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"We can be ___% sure that the true average or proportion is between ______ and _____."

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"We can be ___% sure that the true average or proportion is between ______ and _____."

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How to interpret a confidence interval for 1 parameter.

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Compare p to alpha to decide whether to accept or reject the null hypothesis