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Asked by: Vicente Hammes
Updated: 11 August 2021 04:04:00 PM

If events a and b are independent, what must be done to find the probability of event a and b??

If events A and B are independent, what must be done to find the probability of event A AND B? Multiply the probability of A and the probability of B. If an experiment with a random outcome is repeated a large number of times, the empirical probability of an event is likely to be close to the true probability.

In light of this, how do you find the probability of A and B independent?

Formula for the probability of A and B (independent events): p(A and B) = p(A) * p(B). If the probability of one event doesn't affect the other, you have an independent event. All you do is multiply the probability of one by the probability of another.

Accordingly, how do you find the probability of independent events?

Events A and B are independent if the equation P(A∩B) = P(A) · P(B) holds true. You can use the equation to check if events are independent; multiply the probabilities of the two events together to see if they equal the probability of them both happening together.

In addition, they are often interested in what is the conditional probability of A and B are independent?

A conditional probability can always be computed using the formula in the definition. Sometimes it can be computed by discarding part of the sample space. Two events A and B are independent if the probability P(A∩B) of their intersection A∩B is equal to the product P(A)⋅P(B) of their individual probabilities.
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Related questions and answers

What is an example of zero correlation?

A zero correlation exists when there is no relationship between two variables. For example there is no relationship between the amount of tea drunk and level of intelligence.

How do you find the correlation between two variables?

The Pearson correlation coefficient (named for Karl Pearson) can be used to summarize the strength of the linear relationship between two data samples. The Pearson's correlation coefficient is calculated as the covariance of the two variables divided by the product of the standard deviation of each data sample.

What are the 5 types of correlation?

Correlation
  • Pearson Correlation Coefficient.
  • Linear Correlation Coefficient.
  • Sample Correlation Coefficient.
  • Population Correlation Coefficient.

Why do we calculate correlation?

Correlation coefficients are used to measure the strength of the relationship between two variables. This measures the strength and direction of a linear relationship between two variables. Values always range between -1 (strong negative relationship) and +1 (strong positive relationship).

What is a correlation table?

A correlation matrix is simply a table which displays the correlation. The measure is best used in variables that demonstrate a linear relationship between each other. The fit of the data can be visually represented in a scatterplot. The matrix depicts the correlation between all the possible pairs of values in a table

What is an event give an example?

The definition of an event is something that takes place. An example of an event is the prom dance for a high school. Event is defined as a particular contest which is part of a program of contests. An example of an event is the long jump at a school's field day.

What is scatter diagram method?

The scatter diagram is a technique used to examine the relationship between both the axis (X and Y) with one variable. In the graph, if the variables are correlated, the point will drop along a curve or line. A scatter diagram or scatter plot, is used to give an idea idea of the nature of relationship.

What are the 4 types of correlation?

Usually, in statistics, we measure four types of correlations: Pearson correlation, Kendall rank correlation, Spearman correlation, and the Point-Biserial correlation.

When A and B are independent events?

Independent Events:
Two events A and B are said to be independent if the fact that one event has occurred does not affect the probability that the other event will occur. If whether or not one event occurs does affect the probability that the other event will occur, then the two events are said to be dependent.

How do you show correlation between two variables in Excel?

Method A Directly use CORREL function
  1. For example, there are two lists of data, and now I will calculate the correlation coefficient between these two variables.
  2. Select a blank cell that you will put the calculation result, enter this formula =CORREL(A2:A7,B2:B7), and press Enter key to get the correlation coefficient.

What is an example of a independent event?

Independent events are those events whose occurrence is not dependent on any other event. For example, if we flip a coin in the air and get the outcome as Head, then again if we flip the coin but this time we get the outcome as Tail. In both cases, the occurrence of both events is independent of each other.

How do you tell if an event is independent or dependent?

An independent event is an event in which the outcome isn't affected by another event. A dependent event is affected by the outcome of a second event.

What is the difference between negative and positive correlation?

The sign—positive or negative—of the correlation coefficient indicates the direction of the relationship (Figure 1). A positive correlation means that the variables move in the same direction. A negative correlation means that the variables move in opposite directions.

What are the methods of correlation?

Types of Correlation:
  • Positive, Negative or Zero Correlation:
  • Linear or Curvilinear Correlation:
  • Scatter Diagram Method:
  • Pearson's Product Moment Co-efficient of Correlation:
  • Spearman's Rank Correlation Coefficient:

How do you know if two variables are independent?

You can tell if two random variables are independent by looking at their individual probabilities. If those probabilities don't change when the events meet, then those variables are independent. Another way of saying this is that if the two variables are correlated, then they are not independent.

What does a correlation table tell you?

A correlation matrix is a table showing correlation coefficients between variables. Each cell in the table shows the correlation between two variables. A correlation matrix is used to summarize data, as an input into a more advanced analysis, and as a diagnostic for advanced analyses.

What is correlation in statistics?

Correlation is a statistical measure that expresses the extent to which two variables are linearly related (meaning they change together at a constant rate). It's a common tool for describing simple relationships without making a statement about cause and effect.

What does a correlation of 1 mean?

A correlation of –1 indicates a perfect negative correlation, meaning that as one variable goes up, the other goes down. A correlation of +1 indicates a perfect positive correlation, meaning that both variables move in the same direction together.

Can two independent variables be correlated?

So, yes, samples from two independent variables can seem to be correlated, by chance.

When two variables are independent then the relationship is called?

Multiple correlation refers to the strength of the association between the independent variables and one dependent variable, i.e. relationship between more than two variables. Was this answer helpful?

How do you know if a correlation is significant?

To determine whether the correlation between variables is significant, compare the p-value to your significance level. Usually, a significance level (denoted as α or alpha) of 0.05 works well. An α of 0.05 indicates that the risk of concluding that a correlation exists—when, actually, no correlation exists—is 5%.

What is a perfect positive correlation?

Understanding Positive Correlation
A perfectly positive correlation means that 100% of the time, the variables in question move together by the exact same percentage and direction. A positive correlation can be seen between the demand for a product and the product's associated price.

Can correlation be negative?

Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. In statistics, a perfect negative correlation is represented by the value -1.0, while a 0 indicates no correlation, and +1.0 indicates a perfect positive correlation.

How do you show independent events in a Venn diagram?

If A and B are independent events, then the events A and B' are also independent. Proof: The events A and B are independent, so, P(A ∩ B) = P(A) P(B). From the Venn diagram, we see that the events A ∩ B and A ∩ B' are mutually exclusive and together they form the event A.

How do you read a correlation table?

It has a value between -1 and 1 where:
  1. -1 indicates a perfectly negative linear correlation between two variables.
  2. 0 indicates no linear correlation between two variables.
  3. 1 indicates a perfectly positive linear correlation between two variables.

What is a correlation score?

Correlation coefficients index the extent to which two scores are related, and the direction of that relationship. They reflect the tendency of the variables to “co-vary”; that is, for changes in the value of one variable to be associated with changes in the value of the other.