Descriptive and Inference Statistics
(Population, Sample, Data)
Levels of Measurement
Qualitative and Quantitative Data
Sampling Methods
Frequency Table
100

This type of statistics involves organizing, summarizing and presenting data.

Descriptive Statistics

100

The level of measurement that names categories without order.

Nominal

100
Data that describe categories or qualities.

Qualitative or Categorical Data

100
Every member of the population has an equal chance of being selected.
Simple Random Sampling
100

A table that shows how often each data value occurs

Frequency Table

200

If you survey 50 students from your school, the 50 students represent the _____________.

Sample

200
The level of measurement where differences are meaningful, but there is no true zero.

Interval

200

"number of siblings" is an example of which type of data?

Quantitative Data

200

Selecting every 5th person on a list is an example of what method?

Systematic Sampling

200
What does a frequency table shows?

How often eache values occurs.

300

This type of statistics makes generalizations about a population based on a sample.

Inferential Statistics

300
Level of measurement that ranks data, but does not measure exact differences.

Ordinal

300

The number of goals scored in a soccer game: discrete or continous?

Discrete

300

Dividing a population into groups and then randomly selecting two entire groups.

Cluster Sampling
300

In a frequency table, what is the cumulative frequency?

The running total of frequencies up to that point.

400

In a school the principal survey 50 students for the study habits. 

Tell the sample and the population

Sample: 50 students

Population: Students of the school

400

The level of measurement with a true zero, allowing ratios to be calculated.

Ratio

400

Data can take any value in an interval

Continuous Data

400

Asking only your friends about their study habits, is an example of...?

Convenience Sampling

400

How you can find the relative frequency.

You divide the frequency over the total.

500

Which type of statistics uses probability to draw conclusions about populations?

Inferential Statistics

500

Put these variables in their correct level of measurement: temperature in Celcious, age, eye color, class rank

temperature in Celcious = Interval

 age = Ratio

 eye color = Nominal

 class rank = Ordinal

500

Explain why weight is considered continuous data.

Because it take infinitely many values within an interval (55.2kg, 55.28kg, 55.284kg, etc...)

500

Dividing a population into subgroups (likes and dislikes, boys and girls...) and randomly selecting individuals from each subgroup.

Stratified Sampling

500

A frequency table can be used for both qualitative and quantitative data.

True