the probability distribution mist commonnly used in statustical analysis is normal dustribution .discuss what is your...
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The probability distribution most commonly used in statistical analysis is the normal distribution due to the following results:
1) The distribution is changed to the normal distribution if the sample size is increased for any distribution.
2) The normal distribution is analytically convenient when dealing with operations like the linear combination, marginalization, and conditioning resulting in implementation simplicity.
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the
probability distribution mist commonnly used in statustical
analysis is normal dustribution .discuss what is your...
. In probability theory, the Normal Distribution (sometimes called a Gaussian Distribution or Bell Curve) is a very common continuous probability distribution. Normal distributions are important...
. In probability theory, the Normal Distribution (sometimes called a Gaussian Distribution or Bell Curve) is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. Describing the normal distribution using a mathematical function is called a probability distribution function (PDF) which is given here: H The mean of the distribution ơ-The standard deviation f(x)--e 2σ We can...
compute p(x) using the binomial probability formula. then determine whether the normal distribution can be used...
compute p(x) using the binomial probability formula. then determine whether the normal distribution can be used to estimate this probability. if so, p(x) using the normal distribution and compare the result with the exact probability. n=78, p= 0.83, and x=60 for n= 78, p= 0.83, and x=60, find P(x) using the binomial probability distribution. P(x) _. (round to four decimal places as needed.) can the normal distribution be used to approximate this probability? A. no, the normal distribution cannot be...
What is normal? Can you think of where you see the normal distribution in your day...
What is normal? Can you think of where you see the normal distribution in your day to day life? Suppose we collect data on the height of all of us in this class. What would the graph look like? Would it be bell-shaped? The normal distribution is vital to statistical analysis, being fully defined by the mean and standard deviation. All normal curves have the same general shape. 68% of the total area under the curve is from +1 to...
8Compute P(x) using the binomial probability formula. Then determine whether the normal distribution can be used...
8Compute P(x) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(x) using the normal distribution and compare the result with the exact probability. na 72. p-o.77, and x-56 Cli Cli e (page 1).1 page 2).2 For n-72, p-0.77, and x-56, find P(x) using the binomial probability distribution. P(x)- Can the normal distribution be used to approximate this probability? Round to four decimal places as needed.) O A....
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used...
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. N=53, p=0.7, and X=47 For n=53, p=0.7, and X=7, find P(X). P(X)=____ (round to four decimal places) Can the normal distribution be used to approximate this probability? Approximate P(X) using the normal distribution. Select the correct choice below and fill in any answer boxes...
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used...
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. nequals=52, pequals=0.7 and Xequals=31
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used...
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. n=56, p=0.7, and X=34. find P(X).
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to esti...
Compute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. nequals=47, pequals=0.5 and Xequals=33
Compute PIX) using the binomial probability formula. Then determine whether the normal distribution can be used...
Compute PIX) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate PX) using the normal distribution and compare the result with the exact probability n=47, p=0.5, and X = 21 For n = 47. p=0.5, and X = 21, use the binomial probability formula to find PC 0.0892 (Round to four decimal places as needed) Can the normal distribution be used to approximate this probability? O A. Yes,...
Compute P(x) using the binomial probability formula. Then determine whether the normal distribution can be used...
Compute P(x) using the binomial probability formula. Then determine whether the normal distribution can be used as an approximation for the binomial distribution. If so, approximate P(x) and compare the result to the exact probability. n = 50, p = 0.5, x = 25
. In probability theory, the Normal Distribution (sometimes called a Gaussian Distribution or Bell Curve) is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. Describing the normal distribution using a mathematical function is called a probability distribution function (PDF) which is given here: H The mean of the distribution ơ-The standard deviation f(x)--e 2σ We can...
8Compute P(x) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(x) using the normal distribution and compare the result with the exact probability. na 72. p-o.77, and x-56 Cli Cli e (page 1).1 page 2).2 For n-72, p-0.77, and x-56, find P(x) using the binomial probability distribution. P(x)- Can the normal distribution be used to approximate this probability? Round to four decimal places as needed.) O A....
Compute PIX) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate PX) using the normal distribution and compare the result with the exact probability n=47, p=0.5, and X = 21 For n = 47. p=0.5, and X = 21, use the binomial probability formula to find PC 0.0892 (Round to four decimal places as needed) Can the normal distribution be used to approximate this probability? O A. Yes,...
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