Midterm #3 - Descriptive Statistics Lecture

Question 1

descriptive statistics

Answer 1

• presenting, organizing, and summarizing data
• describes data

Question 2

why do we need statistics?

Answer 2

• description (describe prevalence)
• prediction (forecast outcomes)
• causation (cause and effect)

Question 3

units

Answer 3

• objects being studied
• usually rows in a dataset

Question 4

variables

Answer 4

• measurements that vary across participants
• usually columns in a dataset

Question 5

inter-quartile range

Answer 5

• measure in non-normally distributed data
• separate data into 4 equal parts
• difference between upper and lower quartile

Question 6

low standard deviation

Answer 6

• values are close to the mean

Question 7

high standard deviation

Answer 7

• values are more spread out

Question 8

which measure of central tendency is the most sensitive to outliers?

Answer 8

• the mean

Question 9

skewness

Answer 9

• describes whether out data is distributed symmetrical around the mean
• measures asymmetry