Quant condensed

Question 1

Describe nominal, ordinal, discrete continuous data, structred vs unstructured and CS, TS and panel and alternative data?

Answer 1

Question 2

What types of data should be used in the following: Histogram and frequency polygon, Bar chart, tree map, word cloud, line chart, scatter plot, heat map.

Answer 2

Question 3

Which graph to use when showing a relationship vs a comparison?

Answer 3

Question 4

What is a random variable, outcome, event?
What are empirical, piori and subjective probabilities?

Answer 4

Question 5

What are the multiplication, factorial, multinomial, combination and permutation number of ways?

Answer 5

Question 6

What is the definition for probability distribution, random variable, probability function and cumulative distribution function?

Answer 6

Question 7

What is a bernouli random variable?

Answer 7

Question 8

What are the three properties of the standard normal distribution?

Answer 8

Question 9

A multivariate normal distribution is described by what variables?

Answer 9

Question 10

Describe the t-distribution?

Answer 10

Question 11

Describe the Chi^2 distribution?

Answer 11

Question 12

What are the four steps to a monte-carlo estimation?

Answer 12

Question 13

What is probability sampling, simple random, systematic, stratified and cluster?

Answer 13

Question 14

What is convenience sampling, judgmental sampling, what is sample error and sampling distribution of the sample means?

Answer 14

Question 15

What are three desirable qualities of an estimator, which confidence interval for which situation?

Answer 15

Question 16

When to use t or Z for CI?
What is bootstrap resampling?

Answer 16

Question 17

What is the jack knife method, what is data snooping and how to avoid it?

Answer 17

Question 18

Describe sample selection, look ahead and time period bias?

Answer 18

Question 19

What is an hypothesis and the process of hypothesis testing?

Answer 19

Question 20

What is a type 1, type 2 error and power of a test?

Answer 20

Question 21

When to use t or z for testing a single mean?

Answer 21

If the distribution is normal and population variation known then use Z even with small sample

Question 22

Testing of two means and difference between means?

Answer 22

Question 23

Testing of a single variance, testing the equality of two variances and when to use non-parametric testing?

Answer 23

Question 24

Testing for correlation, t-value, df and para vs non-para test?

Answer 24

Question 25

Testing for independence?

Answer 25

Question 26

What are the four assumptions of the central limit theorem?

Answer 26

Question 27

What is the coefficient of determination and what is the f-test?

Answer 27

Question 28

What is the t-test for b1 and b0?

Answer 28

Question 29

What are log-lin , lin-log and log-log models?

Answer 29