Distribution and probability

Question 1

inference

Answer 1

allows us to make predictions about the population from which the data was selected

Question 2

what kind of data can have normal distribution

Answer 2

continuous

Question 3

what kind of data can have binomial distribution

Answer 3

binary data

Question 4

what kind of data can have poisson distribution

Answer 4

for events occurring at random intervals of time

Question 5

characteristics of normal distribution

Answer 5

bell shaped
single, central peak
symmetrical
equal mean, median, mode
continuous

Question 6

what two features define normal distribution

Answer 6

mean and variance

Question 7

how can you assess the normality of distribution

Answer 7

informal review of properties
inspection of a normal plot
Shapiro-Wilk test

Question 8

why do we transform data

Answer 8

transformed so they are plausibly normally distributed

Question 9

logarithmic transformation is appropriate for:

Answer 9

• data that is fairly skewed

- groups of data in which the variances are proportional to the mean

Question 10

square root transformation:

Answer 10

• data that is slightly skewed

- counts

Question 11

reciprocal transformation:

Answer 11

• data that is highly skewed

Question 12

cube transformation:

Answer 12

• data relating to volumes

Question 13

logit transformations

Answer 13

• proportions