inferential statistics

Question 1

define probability

Answer 1

how likely is something

Question 2

what does a null hypothesis suggest

Answer 2

that differences in sample means are due to chance

Question 3

what does an alternative hypothesis suggest

Answer 3

differences in sample means are due to differences in population means

Question 4

what are the steps in hypothesis testing

Answer 4

-formulate research hypothesis
-collect sample data
-assume null hypothesis is true
-use inferential test to calculate probability of difference in sample data
-low probability= reject null hypothesis
-if difference is significant= accept research hypothesis

Question 5

what is a one tailed hypothesis

Answer 5

a directional hypothesis

Question 6

what is a two tailed hypothesis

Answer 6

a non-directional hypothesis

Question 7

what does a t-test look for

Answer 7

significant difference between means

Question 8

what is a type one error

Answer 8

alternative hypothesis wrongly accepted

Question 9

what is a type two error

Answer 9

null hypothesis wrongly accepted

Question 10

what is the alpha level

Answer 10

p=0.05

Question 11

what is test power

Answer 11

the probability of detecting an effect when it exists

Question 12

how to balance type one and 2 errors

Answer 12

increase sample size

Question 13

what assumptions need to be met to use a parametric test

Answer 13

populations are normally distributed
populations have equal variances