10 - Hypothesis formation types of Error And Estimation

Question 1

Hypothesis

Answer 1

Tentative assumption that is capable of being tested-

• relationship hypothesis
• comparison hypothesis

Question 2

Criterias for hypothesis

Answer 2

• stated clearly, correct terminology and operationally defined
• testable
• state expected relationships between variables
• limited in scope
• grounded in past knowledge

Question 3

H0

Answer 3

The bull hypothesis assumes that any difference or relationship that exists between populations is due to chance.

Question 4

H1

Answer 4

Alternate hypothesis assumes that any difference or relationship that exists between populations is not due to chance.

Question 5

Non directional hypothesis

Answer 5

Two tailed test
Decrease Type I error
Require higher significance level

Question 6

Directional hypothesis

Answer 6

Uses one tailed tests
Increase type I error
Requires a lower significance level

Question 7

Testing the null hypothesis

Answer 7

SE(M)=SD/sqrd(n)
Then
Z = (X-M)/SE(M)

Question 8

Type I error

Answer 8

Reject the null hypothesis when it is true

Question 9

Type II error

Answer 9

Accept the null hypothesis when it’s false

Question 10

Point estimate

Answer 10

A single statistic is used as the estimate of the population parameter

Question 11

Interval estimate

Answer 11

Estimate the range of values within which the population mean lies

Question 12

Confidence interval

Answer 12

Is the range within which we believe the true population estimate to lie.

Question 13

Confidence level

Answer 13

Is the probability that the population parameter falls within the confidence level.

Question 14

H0 and H1 Gross simplification

Answer 14

Probability is a continuous scale