correlation. Correlation measures the strength of association between two variables and how they change together. If one variable tends to increase as the other increases, or decrease as the other decreases, there is a positive correlation. If one variable tends to increase as the other decreases, there is a negative correlation.
Interval data is a type of quantitative data where the difference between two values is meaningful and consistent. It has a fixed unit of measurement and a true zero point. Examples of interval data include temperature in Celsius and time.
Transition words that indicate a cause and effect relationship include "because," "since," "therefore," and "as a result." These words help to show the relationship between events or actions and how one leads to another.
Money is an example of a secondary reinforcer because its value is learned through association with primary reinforcers like food, water, or shelter.
An example of a social emotion is empathy, which involves understanding and sharing the feelings of others. This emotion helps us connect with others, build relationships, and show compassion towards those in need.
Certainly! Cause and effect connectives are words or phrases that show the relationship between an action (cause) and its result (effect). Examples include "because," "since," "as a result," and "therefore." These connectives help to link two events together in a logical sequence.
to show the relationship between 2 sets of data
A scatter plot
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.
to show a comparison of two sets of data
A correlation coefficient of 1 or -1 would be the highest possible statistical relationship. However, the calculation of correlation coefficients between non independent values or small sets of data may show high coefficients when no relationship exists.
An example of quantitative data would be the number of people born in 1 hour.
Pie charts and doughnut charts. Cake charts and cookie charts however, do not show the relationship of data in reference to the whole.
Data Terminal Ready Define the Relationship in the MTV show Awkward
Scatter plot graphs are used in mathematics. They are used to show types of relationships or correlations that are between two sets of data.
Statistic use mathematics to show relation of sets of datas.
when comparing two sets of data... ex. lets say you are comparing the amount of cookies your friend has and how many you have. he/she has 2 and you have 4. you would show the bars side by side in different colors that way you can tell the difference between them and see the relationship of the two pieces of data. hope this helped :)
venn diagram