Data management pt.3

Question 1

the center of the data set

Answer 1

Mean and Median

Question 2

frequently occurring variable

Answer 2

Mode

Question 3

not resistant to extreme values

Answer 3

Mean

Question 4

graphical relationship of Mean, Median, and Mode

Answer 4

Skewness

Question 5

mean will be close to the median

Answer 5

Symmetric

Question 6

mean < median

Answer 6

negatively skewed

Question 7

mean > median

Answer 7

positively skewed

Question 8

consists of physical measurements, often follow a similar pattern
its shape is single-peaked, symmetric distribution that is bell shaped
defined by its mean and standard deviation
total area = 1

Answer 8

Normal Distribution

Question 9

Empirical Rule

Answer 9

68-95-99.7

Question 10

tells how many σ the observation is above (right) or below (left)of the mean
positive if observation is on the right
negative if observation is on the left

Answer 10

Z-Score

Question 11

lets us calc the area under the curve that a z-score is associated with

Answer 11

Area under the Standard Normal Distribution Curve

Question 12

describes an association between variables: when one variables changes, so does the other.

Answer 12

correlation

Question 13

means that changes in one variables brings about the change in the other

Answer 13

causation

Question 14

measures an outcome of a study (dependent variable)
vertical axis (graph)
we also denote is sometimes the y variable

Answer 14

response variable

Question 15

explains or influences changes in a response variable (independent variable)
horizontal axis (graph)
denoted as the x variable most of the time

Answer 15

explanatory variable

Question 16

Most useful graph to show the relationship between two quantitative variables

Answer 16

scatter diagram.

Question 17

is a correlation coefficient commonly used in linear regression.

Answer 17

Person’s correlation

Question 18

is a technique that summarizes and more importantly, quantifies the linear relationship between two variables.

Answer 18

Linear Regression

Question 19

line that “best” describes (or fits) the data which predicts the average for all individuals with a given value of the explanatory variable.

Answer 19

least-squares regression line