Week 5 Inferential Statitics

Question 1

Usually inferential problems are related to

Answer 1

1) estimation of a population parameter
2) comparison of an specific parameter
3) assessing relationships among variables

Question 2

What’s the function of parameters ?

Answer 2

To describe a characteristic of the population

Question 3

What is a point estimate ?

Answer 3

A single value of a sample statistic that approximates the true unknown value of a population parameter

Question 4

Examples of point estimates

Answer 4

Sample mean and standard deviation

Question 5

What is a confidence interval?

Answer 5

A range of likely values for a population parameter

Question 6

Point estimator of the population

Answer 6

Sample mean

Question 7

What does a null hypothesis usually states?

Answer 7

That a population parameter is equal to a specified value

Question 8

What does the alternative hypothesis usually states?

Answer 8

That the population parameter is not equal to a specified value

Question 9

What does the alternative hypothesis usually states?

Answer 9

That the population parameter is not equal to a specified value

Question 10

Examples of one sided test

Answer 10

The mean performance of the product is greater than the industry standard

The mean performance of the product is lower than the industry standard

Question 11

If we reject the null hypothesis we can say that our result is statistically significant

True or false

Answer 11

True

Question 12

If we fail to reject the null hypothesis we can say that our results are not statistically significant

True or false

Answer 12

True

Question 13

Confidence level is usually equal to 95%

True or false

Answer 13

True

Question 14

Significance level is usually equal to 0,05

True or false

Answer 14

True

Question 15

If the p value is less than alpha we accept the null hypothesis

True or false

Answer 15

False, if the p value is less than alpha we reject the null hypothesis