DATA TEST 1

Descriptive Statistics

attempts to describe data

Inferential Statistics

attempts to make predictions based on data

(Quantitative) Numerical Data

Histogram, line chart, scatter plots

(Qualitative) Categorical Data

Pie Charts, Bar Charts

One Variable Quantitative data:

histogram(cross sectional)

line chart(time series)

Two variable Quantitative data:

scatterplots- relationship between two variables

Probability sampling methods:

Simple random

Stratified random

Cluster Sampling

Systematic sample

Non- probability sampling methods:

Convivence sample

Judgement sample

Negatively skewed can be described as

having a longer lower tail than upper tail

LEFT

Sample

data collected in a statistical study for only a portion or a subset of all elements of interest

Median

middle number

Mode

number that occurs most often

Simple Random Sample

every item in the frame has an equal known chance of selection

Cluster Samping

involves dividing populations into groups(clusters) and selecting a sample of clusters for analysis

Judgment Sample

collect opinions of preselected subject matter experts

Convivence Sample

select items that are easy, inexpensive, and convenient to sample

Stratified Random Sampling

dividing population into groups, then randomly selecting from EACH group

*grouped before selecting

Systematic Sample

uses random starting point and fixed periodic intervals.

Positively skewed can be described as

having a longer upper tail that lower tail

RIGHT

Time series data

recorded over consistent intervals of time