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Learn statistics for Ap stats test
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Definition of Random Variable Discrete vs. Continuous Random Variables Parameters of a Discrete RV Mean: Standard Deviation: Combining RV Formulas Sum of Two RV Difference of Two RV Linear Transformations of Random Variables Add/Subtract Multiply/Divide Using the Calculator for Discrete RV Work to Show: Mean SD What must be true to combine standard deviations? Example: You have 4 apples N(4, 1.5), 3 pears N(3.5, 1), and a basket N(25, 2). Find combined parameters.
M 10.5 16 25 51.50 IT^6 A discrete random variable takes on a countable number of distinct values, such as the number of students in a class. A continuous random variable can take on any value within a given range, like a person’s weight or height. Discrete variables are often associated with whole numbers, while continuous variables involve measurements that can be infinitely precise. Add up all possible values of x multiplied by all the probabilities A variable whose value is unknown or a function that assigns values to each of an experiment’s outcomes. The mean is shifted by the constant, while the standard deviation remains the same, since there’s no change in spread of the data values. The mean is scaled by the constant, while the standard deviation is scaled by the absolute value of the constant. When combining standard deviations, the variances are combined, meaning that the variables must be independent and the probability of one must not affect the other. First, select ‘stat’ , and then select ‘edit’. There, you can edit your list of random variables under L1, and their corresponding probabilities right next to their variable under L2. Then select ‘stat’ again and go to ‘CALC’. Select ‘1-Var Stats’, and hit calculate. You will be presented with many information about the discrete random variables, specifically the mean and SD. Plug in values into the formulas.
Binomial Setting Binomial Probability (exactly k) Parameters of Binomial RV Mean: Standard Deviation: Binomial PDF Geometric Settings Binomial CDF Must remember: P(X≤3) P(X<3) P(X≥3) P(X>3) Work to Show Parameters of Geometric RV Mean: Standard Deviation: Calculating Geometric Probabilities Normal Approximation Condition
P x^ k (^) E pk 1 pin
P probability^ of successes (^) NP 210 n^1 p (^10)
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binomedf trials (^) p 3 binomedf trials (^) p 2 1 binomedf^ trialsp^3 Binaryoutcome^ eithersuccessorfailure 1 binomedf^ trialsp^2 Independenttrialsonetrialdoesn'taffectother
success Sameprobability for (^) eachtrial p probabilityof success
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This function is used to calculate the probability of getting exactly k successes in a fixed number of trials. for example, the probability of getting exactly three heads in five coin flips. to do on a calculator, select 2nd, then vars, and find binompdf, and enter in the number of trials, the probability of success, as well as the exact number of success interested. A geometric setting occurs if you’re asking “how many trials will it take until I get my first success?” For example, what is the probability that I roll a six on the fourth roll? Or, what is the probability that I pick a queen out of the deck on the seventh pick or less? A binomial setting occurs if you’re asking, “what’s the probability of getting exactly k successes in n trials?” For example, what’s the probability of getting exactly three heads when flipping a coin five times. This is the large counts condition for probabilities, and probability distributions can only be normal when: Different combinations of k successes in n trials 1: Check the required conditions if you need to 2: Define the variables and show proper formulas for the correct random variable formula that is necessary, with filled in numbers based on the question 3: Explain calculator functions used to find the probabilities we are looking for.