A probability distribution must have a well defined domain - that is, the set of possible outcomes.For each possible outcome, there must be a non-negative value associated - the probability of that outcome.The sum of the probabilities, over all possible outcomes, must be 1.
It depends on the shape of the distribution. For standard normal distribution, a two tailed range would be from -1.15 sd to + 1.15 sd.
A person who wants to be an actuary would have working knowledge of mathematics-including calculus, probability, and statistics-and has demonstrated this knowledge by passing one or two actuarial exams required for professional designation. A degree in finance, mathematics and business would help build the skills needed for success in the field.
That's on page 126 in your statistics textbook...... DO YOUR OWN HOMEWORK!!! K i obv needed help with how to do it, ass. I didn't want just the answer.
To do this, you first need to convert the percentage into a z-score. The bottom 10% yields a z-score of -1.2816. Multiplying this by 55 and adding to the mean gives 69.512. This means all score less that are 69 or less will be in the bottom 10%
A probability density function can be plotted for a single random variable.
A probability distribution must have a well defined domain - that is, the set of possible outcomes.For each possible outcome, there must be a non-negative value associated - the probability of that outcome.The sum of the probabilities, over all possible outcomes, must be 1.
You should be given p(x) values such as 0.09 0.19 0.14 0.29 you just add these values to get 0.71 subtract 0.71 from 1 to get 0.29 is the answer
The answer depends on what population characteristic A measures: whether it is mean, variance, standard deviation, proportion etc. It also depends on the sampling distribution of A.
I think that you mean histogram, so I am going to go off of that meaning. A histogram is a statistical image that shows a visual impression of the distribution of data. It's purpose is to assess the probability distribution of a given variable, by depicting frequencies in a certain range of values. Histograms are used when density estimation is needed, or when one needs to estimate the probability density function of an underlying variable. More often than not, it is used in mathematics and statistics in order to determine the distribution of a specific variable at varying frequencies.
The answer depends on the context. In probability or statistics, when using a continuous distribution as an approximation for a discrete distribution it is advisable to use 0.5 as a "continuity correction". This is to allow for the fact that the discrete variable usually cannot take values between integers. In other situations a correction may be applied to allow for measurement error.
They needed plenty of land to develop cities and complex civilizations in the Americas.
To be able to understand the probability of chance for an occurrence and to further understand probability
More information is needed to determine the answer to the question. We need to know the probability of success or failure.
Resources can be unavailable in areas where they are needed.
Yes, it is.
chemistry