Stats Final Exam notesheet by Lynette Christenson

If the p is low, the null must go.

lchristenson2 — 2017-05-05 13:37:02 UTC

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

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

lchristenson2 — 2017-05-05 13:39:07 UTC

How to interpret a confidence interval for 1 parameter.

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

lchristenson2 — 2017-05-05 13:40:21 UTC

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

n = p hat * q hat *(z/E)^2

lchristenson2 — 2017-05-05 13:41:36 UTC

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

2017-05-05 13:42:16 UTC

O give is another name for a cumulative freq graph

Binomial Probability

lchristenson2 — 2017-05-05 13:42:47 UTC

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)

yes

2017-05-05 13:55:19 UTC

put THAT on the note sheet

Writing Hypotheses

lchristenson2 — 2017-05-05 19:30:39 UTC

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

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

lchristenson2 — 2017-05-05 19:34:46 UTC

How to interpret a confidence interval for two parameters.

Find mean, median, standard deviation on calc:

lchristenson2 — 2017-05-05 19:36:17 UTC

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

Normal Distribution:

lchristenson2 — 2017-05-05 19:37:37 UTC

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

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

lchristenson2 — 2017-05-05 19:38:27 UTC

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

Find the data values associated with a certain normal %:

lchristenson2 — 2017-05-05 19:41:53 UTC

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

Binomial Distribution

lchristenson2 — 2017-05-05 19:42:41 UTC

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

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

lchristenson2 — 2017-05-05 19:44:35 UTC

z = (x-mean)/SD

5 # Summary/Boxplot

lchristenson2 — 2017-05-05 19:45:17 UTC

min
Q1,
Q2,
Q3,
Max

Calculate percentile of a data value:

lchristenson2 — 2017-05-05 19:46:19 UTC

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

Find out which data value is in a certain percentile:

lchristenson2 — 2017-05-05 19:47:10 UTC

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.

Central Limit Theorem (Ch 6 FERP#6)

lchristenson2 — 2017-05-10 14:59:06 UTC

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