If you're seeing this message, it means we're having trouble loading external resources on our website.

Pokud používáš webový filtr, ujisti se, že domény: *.kastatic.org and *.kasandbox.org jsou vyloučeny z filtrování.

Hlavní obsah

STANDARDS

 > 

US-VA

Math

Virginia Math

Algebra 2: Statistics

A2.ST.1

The student will apply the data cycle (formulate questions; collect or acquire data; organize and represent data; and analyze data and communicate results) with a focus on univariate quantitative data represented by a smooth curve, including a normal curve.

A2.ST.1.a

Formulate investigative questions that require the collection or acquisition of a large set of univariate quantitative data or summary statistics of a large set of univariate quantitative data and investigate questions using a data cycle.
(Content unavailable)

A2.ST.1.b

Collect or acquire univariate data through research, or using surveys, observations, scientific experiments, polls, or questionnaires.
(Content unavailable)

A2.ST.1.c

Examine the shape of a data set (skewed versus symmetric) that can be represented by a histogram, and sketch a smooth curve to model the distribution.
(Content unavailable)

A2.ST.1.d

Identify the properties of a normal distribution.
(Content unavailable)

A2.ST.1.e

Describe and interpret a data distribution represented by a smooth curve by analyzing measures of center, measures of spread, and shape of the curve.
(Content unavailable)

A2.ST.1.f

Calculate and interpret the 𝑧-score for a value in a data set.
(Content unavailable)

A2.ST.1.g

Compare two data points from two different distributions using 𝑧-scores.
(Content unavailable)

A2.ST.1.h

Determine the solution to problems involving the relationship of the mean, standard deviation, and 𝑧-score of a data set represented by a smooth or normal curve.
(Content unavailable)

A2.ST.1.i

Apply the Empirical Rule to answer investigative questions.
(Content unavailable)

A2.ST.1.j

Compare multiple data distributions using measures of center, measures of spread, and shape of the distributions.

A2.ST.2

The student will apply the data cycle (formulate questions; collect or acquire data; organize and represent data; and analyze data and communicate results) with a focus on representing bivariate data in scatterplots and determining the curve of best fit using linear, quadratic, exponential, or a combination of these functions.

A2.ST.2.a

Formulate investigative questions that require the collection or acquisition of bivariate data and investigate questions using a data cycle.
(Content unavailable)

A2.ST.2.b

Collect or acquire bivariate data through research, or using surveys, observations, scientific experiments, polls, or questionnaires.
(Content unavailable)

A2.ST.2.c

Represent bivariate data with a scatterplot using technology.
(Content unavailable)

A2.ST.2.d

Determine whether the relationship between two quantitative variables is best approximated by a linear, quadratic, exponential, or a combination of these functions.

A2.ST.2.e

Determine the equation(s) of the function(s) that best models the relationship between two variables using technology. Curves of best fit may include a combination of linear, quadratic, or exponential (piecewise-defined) functions.
(Content unavailable)

A2.ST.2.f

Use the correlation coefficient to designate the goodness of fit of a linear function using technology.
(Content unavailable)

A2.ST.2.g

Make predictions, decisions, and critical judgments using data, scatterplots, or the equation(s) of the mathematical model.
(Content unavailable)

A2.ST.2.h

Evaluate the reasonableness of a mathematical model of a contextual situation.
(Content unavailable)

A2.ST.3

The student will compute and distinguish between permutations and combinations.

A2.ST.3.a

Compare and contrast permutations and combinations to count the number of ways that events can occur.

A2.ST.3.b

Calculate the number of permutations of 𝑛 objects taken 𝑟 at a time.

A2.ST.3.c

Calculate the number of combinations of 𝑛 objects taken 𝑟 at a time.

A2.ST.3.d

Use permutations and combinations as counting techniques to solve contextual problems.

A2.ST.3.e

Calculate and verify permutations and combinations using technology.