Question

1. (True and False) Circle the correct answers.

(True or False)   A continuous metric is one derived by counting something.

(True or False) Categorical data is nominal data.

(True or False) The tracking signal is the MAD divided by the running sum or errors.

((True or False) Ordinal data are ranked according to some relationship to one another.

(True or False) Observations that radically different than the rest are called outlaws.

(True or False) The second quartile and median are the same value.

(True or False) P(A|B) = P(A and B) / P(A)

(True or False) A p-value of greater than the alpha will prove the null hypothesis true

(True or False) The correlation coefficient is the percentage of the total change in Y captured by the linear best-fit equation.

(True or False) In hypothesis testing set your alternative hypothesis as the condition, you wish to prove.

Answer 1

Answer to the above questions -

1.A continuous metric is one derived by counting something. False

( Discrete metric is derived from counting something. Continuous metrics based on a continuous scale of measurement.)

2. Categorical data is nominal data. True

(categorical data can be counted and grouped so it is nominal data.)

3. The tracking signal is the MAD divided by the running sum or errors. False.

( A tracking signal is a measurement of running sum of the forcast errors divided by the mean absolute deviation (MAD) )

4. Ordinal data are ranked according to some relationship to one another. True

( ordinal data are those that can be ranked according to size or some relationship to one another.)

5. Observations that radically different than the rest are called outlaws. True

6. The second quartile and median are the same value. True.

( The second quartile the same as the median.)

7. P(A|B) = P(A and B) / P(A). False

( The formula for conditional probability is : P(B/A) = P( A and B)/ P(A) )

8.A p-value of greater than the alpha will prove the null hypothesis true. False

( if a p-value is smaller than the alpha will prove null hypothesis true)

9. The correlation coefficient is the percentage of the total change in Y captured by the linear best-fit equation. false

10. In hypothesis testing set your alternative hypothesis as the condition, you wish to prove. True

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