Estimation of Parameters and Types of Hypothesis

Question 1

This is the kind of reasoning where we estimate the a of a population Mean based on the information obtained by the sample.

Answer 1

Estimation

Question 2

Also known as Sample Mean

Answer 2

Point Estimate

Question 3

a number that gives an estimate of a population parameter

Answer 3

Point Estimate

Question 4

the ratio of the difference between the sample point estimate and the true population parameter value. (maximum error)

Answer 4

Margin of Error

Question 5

the reliability of an estimate is measured by ____________

Answer 5

Confidence Level

Question 6

What are the most used Confidence level and their critical value

Answer 6

0.90 or 90% = 1.645

0.95 or 95% = 1.96

0.99 or 99% = 2.58

Question 7

What is the critical value of 0.90

Answer 7

1.645

Question 8

What is the Critical Value of 95%

Answer 8

1.96

Question 9

What is the Critical Value of 0.99 or 99%

Answer 9

2.58

Question 10

uses interval estimate to define a range of values that includes the parameter being estimated with a specifies level of significance.

Answer 10

Confidence Interval

Question 11

What is the formula of Confidence Interval?

Answer 11

_ _
x - E < M < x + E

Question 12

What is the Formula of Margin of Error