Inferential Statistics

Data which can be ranked from smallest to largest

• Nominal

• Ordinal

• Interval

• Ratio

Tags

CCSS.HSS.ID.A.4

Data which can be categorised by name

• Nominal

• Ordinal

• Interval

• Ratio

Data which can be measured on a fixed scale with no absolute zero

• Nominal

• Ordinal

• Interval

• Ratio

Tags

CCSS.HSS.ID.A.4

Data which can be measured on a fixed scale and does have an absolute zero

• Nominal

• Ordinal

• Interval

• Ratio

Tags

CCSS.HSS.ID.A.4

A measure of central tendency

• Range

• Mode

• Standard deviation

• Mean

Tags

CCSS.6.SP.A.3

The middle number, once data is made ordinal

• Mean

• Mode

• Median

• Range

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

Between a Population and Sample: which size is bigger ?

• Population

• Sample

• Both can be the same

• Not enough information

These are the two types of statistics:

• Discrete and Continuous

• Population and Sample

• Descriptive and Inferential

• Mean and Standard deviation

Which of the following best describes a Type I error?

• The null is true, but we mistakenly reject it.

• The null is false and we reject it.

• The null is false, but we fail to reject it.

• The null is true but we fail to reject it.

• The null is true, and we fail to reject it.

The null hypothesis is represented by:

• Ha

• Ho

• t*

• HP

• μ