Sampling Errorx

Question 1

Types of errors

Answer 1

Type 1 or a error

Type 2 or beta error

Question 2

Type 1 error

Answer 2

Error of first kind
Rejection of null hypothesis that is actually True
Used to determine the sample size
Multiple comparison and testing for significance increases the liklihood of type 1 error

Question 3

Type 2 error

Answer 3

Error of second kind
Acceptance of null hypothesis that is actually False
Used to determine power of study
Power of study=1-beta

Question 4

Power of study?

Answer 4

Probability that the study would reject a null hypotheses as “false” when actually it is “false”
As sample size increases the power of study increases

Question 5

Relation between the two errors

Answer 5

Type 1 error is inversely related to type two error

Question 6

Null hypotheses

Answer 6

When in reality the two drugs do not differ in their efficacy this means that the null hypotheses is “ true”.
If this is rejected due to the study showing significant difference. It is type one error

Question 7

Degree of freedom in contingency table

Answer 7

D. F. = (c-1)x(r-1)
C= columns
R=rows