Stats Final exam

A sample is an unbiased subset of the population that represents the whole data.

A population is the entire set of items you draw data from.

A population is the full set of data. A sample is subset of the full set of data used to represent the full set of data.

A population is the pie. A sample is a slice of it.

A Statistic is something that describes a sample of a population.

60% of all pizzas made have at least 10 slices of pepperoni. (They probably only surveyed a fraction or Sample of pizzas.)

A Parameter is something describing the entirety of a population.

30% of this pizza has pepperoni. (Describes the entire population of the pizza.)

A Parameter describes an entire population. A Statistic describes a Sample.

A Categorical variable are variables that have names or labels.

Favorite ice cream flavor (vanilla, chocolate, in denial)

A Nominal variable is a type of Categorical variable that separates data into categories without rank.

Type of animal(fish, mammal, reptile, avian)

An Ordinal variable is a type of Categorical variable that separates data into categories with order or rank.

Income(High, medium-high, medium, low, revolutionary)

A Numeric/Quantitative variable are variables that have numbers.

GPA (4, 3, 2.5, unemployed)

A Continuous variable is a type of Numeric variable that can have distinct, countable values. They can be counted, not measured.

Goals in a soccer math
M&M's in a jar

A Continuous variable is a type of Numeric variable that can take on any value within a range, and can take provide a nearly infinite number of values in that range.

The exact mph a soccer ball is kicked at
The amount of cacao in a jar of M&M's

A Binary/Boolean variable is a variable with only two values. They can be Numeric or Categorical.

Passing class (Yes/No)
Hours of sleep (1/0)

If a distribution is Skewed Left, it's tail is on the Left of the graph.
Its Mean is less than the Median.

If a distribution is Skewed Right, it's tail is on the Right of the graph.
Its Mean is greater than the Median.

If a distribution is Skewed Left, it's symmetrical on both sides and doesn't skew to either direction.
Its Mean is equal to the Median.

If a distribution is Unimodal a distribution that has one peak.

If a distribution is Bimodal a Multimodal distribution that has two peaks.

If a distribution is Multimodal a distribution with more than one peak.

A Type I error is when you reject a null hypothesus despite it being true.

A Type I error is when you fail to reject a null hypothesus despite it being false.