hypothesis testing

Question 1

define null hypothesis

Answer 1

Ho, what we assume to be true

Question 2

define alternative hypothesis

Answer 2

H1, what woulkd be true if Ho is wrong

Question 3

define significance level

Answer 3

given thersohold of likelyness

Question 4

deifne one-tailed test

Answer 4

when H1: p>k or p<k

Question 5

define two tailed test

Answer 5

when H1: p not equal k
half value of significance level for each end

Question 6

correlation testing
Ho H1
and what to do

Answer 6

Ho: r=0
H1: r> 0 or r<o (1-tailed) or r not equal to 0 (twotailed)
comapre value or r with table
if your r is more extreme then reject Ho
if your r is less extreme then there is no evidence to reject Ho

Question 7

binomial testing
test stat
Ho
H1
what to do

Answer 7

test stat: numner of successes observed
Ho: P=k (given in conterxt of question)
H1: p>k or p<k (one tailed) or p not eqaul to k (twotailed)
assume that H0 is true
X~B(n,k)
find P(X>= or <= value in question) makig sure going more extreme values
if P< sig level then reject Ho
if P> sig level no evidence to reject Ho

Question 8

how to find critcial region of continuous data

Answer 8

hypthesis
sketch
inequtlity
find CV usisng inverse normal
critical region

Question 9

hyp testing with normal distribution

Answer 9

hypothesis H0 : u=k H1: u>k or u<k or u not =k
ditrubution - bar X ~ N (u,@^2/n) where n is sample size
sketch
assume Ho true,
find P(Xbar > or < mean sample taken)
if P < sig level, reject Ho
if P> sig level, no evidence to reject H0