continuous data
what is the relationhip between the values m and n plotted on the number line
Will gve the mean average of the data
Pi cannot be expressed exactly as any fraction (including as a fraction of powers of 10, which is what a decimal fraction is). There are an infinite number of place values in the number 'pi'.
is called an inequality
Ratio or proportion.
discrete data
Yes it can assume countable number of outcomes.
To numerically evaluate any values on a pie chart, you will need to know three things: The angle values that separate each of the categories, the categories themselves and the total number of things represented. To determine the actual values, simple set the number of degrees over 360 equal to the unknown number over the total number tested and solve for the unknown.
The Doughnut chart and pie chart, compares relative values of different categories to the whole
Probability values are never negative and are always between 0-1 according to the definition Probability of A= Number of outcomes classified as A/Total number of possible outcomes
Variation can be categorized as either continuous or discrete. Continuous variation refers to a range of values that can take any value within a specific range, while discrete variation refers to distinct categories with no values in between.
The answer depends on what information is graphed: number (or value) of automobiles produced by different manufacturers, number (or value) of individual models made, number (or value) comparing one period with others, or the numbers (values) sold, for each of these categories.
Categorical variables are variables that represent categories or groups. They are qualitative in nature and can take on values that are in a finite set of distinct categories, but do not have a inherent order or numerical significance. Examples include color (red, blue, green) or gender (male, female).
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To convert a direct statement scale to a linear scale, assign numerical values to the categories or statements on the direct statement scale. Then, plot these values on a linear scale, ensuring that the spacing between values is consistent to create a linear relationship between the categories or statements.
The number of values that lie in an interval depends on the specific range and how it is defined. Generally, it can vary from zero values to an infinite number of values within the interval.
Data that are countable values (does not need to be whole numbers). For example, 1/2, 1, 1 1/2, 2, 2 1/2, etc are discrete.