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  • https://stats.libretexts.org/Courses/Fort_Hays_State_University/Elements_of_Statistics/04%3A_Probability_Distributions/4.05%3A_Common_Continuous_Probability_Distributions
    In this section, we name and explore key properties of some of the most commonly used probability density functions in statistical work. We will end by examining how certain regions within our distrib...In this section, we name and explore key properties of some of the most commonly used probability density functions in statistical work. We will end by examining how certain regions within our distributions can directly relate to other regions within our distributions using some basic geometric reasoning.
  • https://stats.libretexts.org/Workbench/Statistics_for_Behavioral_Science_Majors/05%3A_Continuous_Probability_Distributions/5.02%3A_Uniform_Distribution
    The probability is found by taking the area between two points within the rectangle formed from the x-axis, between the endpoints a and b, the length, and f(x) = 1/(b-a), the height. When working with...The probability is found by taking the area between two points within the rectangle formed from the x-axis, between the endpoints a and b, the length, and f(x) = 1/(b-a), the height. When working with continuous distributions it is helpful to draw a picture of the distribution, then shade in the area of the probability that you are trying to find. a) First plug in the endpoints a = 0 and b = 15 into the PDF to get the height of the rectangle.
  • https://stats.libretexts.org/Courses/Penn_State_University_Greater_Allegheny/STAT_200%3A_Elementary_Statistics/05%3A_Continuous_Random_Variables/5.03%3A_The_Uniform_Distribution
    The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful ...The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful to note if the data is inclusive or exclusive.
  • https://stats.libretexts.org/Courses/City_University_of_New_York/Introductory_Statistics_with_Probability_(CUNY)/06%3A_Continuous_Random_Variables/6.02%3A_The_Uniform_and_Other_Simple_Continuous_Distributions
    The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful ...The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful to note if the data is inclusive or exclusive.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/05%3A_Foundations_for_inference/5.02%3A_The_data_came_from_a_distribution
    If you look at the histograms, you will see that some of them look like they could have come from the uniform distribution: most of the bars are near two, and they all fall kind of on a flat line. We ...If you look at the histograms, you will see that some of them look like they could have come from the uniform distribution: most of the bars are near two, and they all fall kind of on a flat line. We will be looking at some numbers, wondering where they came from, then we will arrange the numbers in such a way so that we can make an inference about where they came from.
  • https://stats.libretexts.org/Courses/Fullerton_College/Math_120%3A__Introductory_Statistics_(Ikeda)/05%3A_Continuous_Random_Variables/5.02%3A_The_Uniform_Distribution
    The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful ...The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful to note if the data is inclusive or exclusive.
  • https://stats.libretexts.org/Workbench/Introduction_to_Statistical_Methods_(Yuba_College)/07%3A_Continuous_Probability_Distributions/7.02%3A_Uniform_Distribution
    The probability is found by taking the area between two points within the rectangle formed from the x-axis, between the endpoints a and b, the length, and f(x) = 1/(b-a), the height. When working with...The probability is found by taking the area between two points within the rectangle formed from the x-axis, between the endpoints a and b, the length, and f(x) = 1/(b-a), the height. When working with continuous distributions it is helpful to draw a picture of the distribution, then shade in the area of the probability that you are trying to find. a) First plug in the endpoints a = 0 and b = 15 into the PDF to get the height of the rectangle.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_1e_(OpenStax)/05%3A_Continuous_Random_Variables/5.03%3A_The_Uniform_Distribution
    The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful ...The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful to note if the data is inclusive or exclusive.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Mostly_Harmless_Statistics_(Webb)/06%3A_Continuous_Probability_Distributions/6.02%3A_Uniform_Distribution
    The probability is found by taking the area between two points within the rectangle formed from the x-axis, between the endpoints a and b, the length, and f(x) = 1/(b-a), the height. When working with...The probability is found by taking the area between two points within the rectangle formed from the x-axis, between the endpoints a and b, the length, and f(x) = 1/(b-a), the height. When working with continuous distributions it is helpful to draw a picture of the distribution, then shade in the area of the probability that you are trying to find. a) First plug in the endpoints a = 0 and b = 15 into the PDF to get the height of the rectangle.
  • https://stats.libretexts.org/Courses/Highline_College/Statistics_Using_Technology_(Kozak)/06%3A_Continuous_Probability_Distributions/6.01%3A_Uniform_Distribution
    If you have a situation where the probability is always the same, then this is known as a uniform distribution.
  • https://stats.libretexts.org/Courses/Penn_State_University_Greater_Allegheny/STAT_200%3A_Introductory_Statistics_(OpenStax)_GAYDOS/05%3A_Continuous_Random_Variables/5.02%3A_The_Uniform_Distribution
    The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful ...The uniform distribution is a continuous probability distribution and is concerned with events that are equally likely to occur. When working out problems that have a uniform distribution, be careful to note if the data is inclusive or exclusive.

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