everthing above the mean is positive z score and everything below the mean is a negative z score

z score of -1 is one standard deviation away from the mean and -2 is two sd away from the mean and so forth.

p < 0.5

U m = 3 M = 2

when the M - sample score is larger than the null hypothesis, the z score will b pos; neg if its the opposite

z score - percentage of scores - percentage of scores that are greater than z

for.a stat sig result, look for critical z scores that sep 5% in the tails from the remaining 95% of the distribution

< means im expecting a pos z score // greater than null hypothesis

• 645 and 1.96 correlates with 5%

the rejection region is all the negative z scores larger than 1.645.

two tailed test H₁ ≠ H₀

p < .05 = 5% !!!!

2 tailed hypothesis testing

• uses 1.96 (95% percent confidence testing)
• 90% percent confidence interval / 5% interval both ends 10% total
• 95% confidence interval (ran 95 times / 100)
• 90% confidence interval (ran 90 times / 100)