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- https://math.libretexts.org/Courses/Mt._San_Jacinto_College/Ideas_of_Mathematics/06%3A_Inferential_Statistics/6.01%3A_Discrete_Random_VariablesA discrete probability distribution function has two characteristics: Each probability is between zero and one, inclusive. The sum of the probabilities is one.
- https://math.libretexts.org/Courses/Mission_College/Math_10%3A_Elementary_Statistics_(Sklar)/04%3A_Discrete_Random_Variables/4.01%3A_Probability_Distribution_Function_(PDF)_for_a_Discrete_Random_VariableA discrete probability distribution function has two characteristics: Each probability is between zero and one, inclusive. The sum of the probabilities is one.
- https://math.libretexts.org/Under_Construction/Purgatory/Remixer_University/Username%3A_Matthew.Lathrop@heartland.edu/Introduction_to_Statistics_(Lathrop)_OFFICIAL/04%3A_Probability/4.7%3A_Using_the_Normal_DistributionThe normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it i...The normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it is a continuous distribution, the total area under the curve is one. The parameters of the normal are the mean μ and the standard deviation σ. A special normal distribution, called the standard normal distribution is the distribution of z-scores. Its mean is zero, and its standard deviation is one.
- https://math.libretexts.org/Courses/Mission_College/Math_10%3A_Elementary_Statistics_(Hwang)/05%3A_Discrete_Random_Variables/5.02%3A_Probability_Distribution_Function_(PDF)_for_a_Discrete_Random_VariableA discrete probability distribution function has two characteristics: Each probability is between zero and one, inclusive. The sum of the probabilities is one.
- https://math.libretexts.org/Courses/Coastline_College/Math_C160%3A_Introduction_to_Statistics_(Lee)/05%3A_Discrete_Random_Variables/5.02%3A_Probability_Distribution_Function_(PDF)_for_a_Discrete_Random_VariableA discrete probability distribution function has two characteristics: Each probability is between zero and one, inclusive. The sum of the probabilities is one.
- https://math.libretexts.org/Courses/University_of_St._Thomas/Math_101%3A_Finite_Mathematics/03%3A_Probability_Distributions_and_Statistics/3.02%3A_Probability_Distributions_for_Discrete_Random_VariablesThe probability distribution of a discrete random variable X is a list of each possible value of X together with the probability that X takes that value in one trial of the experiment. The proba...The probability distribution of a discrete random variable X is a list of each possible value of X together with the probability that X takes that value in one trial of the experiment. The probabilities in the probability distribution of a random variable X must satisfy the following two conditions: Each probability P(x) must be between 0 and 1 and the sum of all the probabilities is 1 .
- https://math.libretexts.org/Courses/Mission_College/Math_10%3A_Elementary_Statistics_(Kravets)/04%3A_Discrete_Random_Variables/4.02%3A_Probability_Distribution_Function_(PDF)_for_a_Discrete_Random_VariableA discrete probability distribution function has two characteristics: Each probability is between zero and one, inclusive. The sum of the probabilities is one.
- https://math.libretexts.org/Courses/Mission_College/Math_10%3A_Elementary_Statistics_(Kravets)/05%3A__Continuous_Random_Variables_and_The_Normal_Distribution/5.04%3A_Using_the_Normal_DistributionThe normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it i...The normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it is a continuous distribution, the total area under the curve is one. The parameters of the normal are the mean μ and the standard deviation σ. A special normal distribution, called the standard normal distribution is the distribution of z-scores. Its mean is zero, and its standard deviation is one.
- https://math.libretexts.org/Courses/Mission_College/Math_10%3A_Elementary_Statistics_(Sklar)/06%3A_The_Normal_Distribution/6.02%3A_Using_the_Normal_DistributionThe normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it i...The normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it is a continuous distribution, the total area under the curve is one. The parameters of the normal are the mean μ and the standard deviation σ. A special normal distribution, called the standard normal distribution is the distribution of z-scores. Its mean is zero, and its standard deviation is one.
- https://math.libretexts.org/Courses/Coastline_College/Math_C160%3A_Introduction_to_Statistics_(Lee)/07%3A_The_Normal_Distribution/7.03%3A_Using_the_Normal_DistributionThe normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it i...The normal distribution, which is continuous, is the most important of all the probability distributions. Its graph is bell-shaped. This bell-shaped curve is used in almost all disciplines. Since it is a continuous distribution, the total area under the curve is one. The parameters of the normal are the mean μ and the standard deviation σ. A special normal distribution, called the standard normal distribution is the distribution of z-scores. Its mean is zero, and its standard deviation is one.
- https://math.libretexts.org/Courses/Coastline_College/Math_C160%3A_Introduction_to_Statistics_(Tran)/05%3A_Discrete_Random_Variables/5.02%3A_Probability_Distribution_Function_(PDF)_for_a_Discrete_Random_VariableA discrete probability distribution function has two characteristics: Each probability is between zero and one, inclusive. The sum of the probabilities is one.
