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kjetil b halvorsen ♦
kjetil b halvorsen ♦
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I'm working on a stats project, but in the assignment there is some notation I haven't been able to find in the book or googling. in the below, I don't know which equation N(u,o^2) refers to; part1 with mean $= E(X)$ and $\sigma^2 = \text{VAR}(X)$ for $B \sim \text{Bernoulli}(p)$ with $p = 0.4$.

I'm attempting to find out the probability of a mean being less than the sample proportion (in this case, 0.4) of a binomial distribution.

I already have a simulation approximation, an exact value, but now I also need one via the CLT... but I'm a tad lost.

Thank you for your help.

I'm working on a stats project, but in the assignment there is some notation I haven't been able to find in the book or googling. in the below, I don't know which equation N(u,o^2) refers to; part1 with mean $= E(X)$ and $\sigma^2 = \text{VAR}(X)$ for $B \sim \text{Bernoulli}(p)$ with $p = 0.4$.

I'm attempting to find out the probability of a mean being less than the sample proportion (in this case, 0.4) of a binomial distribution.

I already have a simulation approximation, an exact value, but now I also need one via the CLT... but I'm a tad lost.

Thank you for your help.

I'm working on a stats project, but in the assignment there is some notation I haven't been able to find in the book or googling. in the below, I don't know which equation N(u,o^2) refers to; part1 with mean $= E(X)$ and $\sigma^2 = \text{VAR}(X)$ for $B \sim \text{Bernoulli}(p)$ with $p = 0.4$.

I'm attempting to find out the probability of a mean being less than the sample proportion (in this case, 0.4) of a binomial distribution.

I already have a simulation approximation, an exact value, but now I also need one via the CLT... but I'm a tad lost.

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Taylor
Taylor
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I'm working on a stats project, but in the assignment there is some notation I haven't been able to find in the book or googling. in the below, I don't know which equation N(u,o^2) refers to; part1 with mean = E(X)$= E(X)$ and o^2 = VAR(X)$\sigma^2 = \text{VAR}(X)$ for B~ Bernoulli (p = 0$B \sim \text{Bernoulli}(p)$ with $p = 0.4$.4)

I'm attempting to find out the probability of a mean being less than the sample proportion (in this case, 0.4) of a binomial distribution.

I already have a simulation approximation, an exact value, but now I also need one via the CLT... but I'm a tad lost.

Thank you for your help.

I'm working on a stats project, but in the assignment there is some notation I haven't been able to find in the book or googling. in the below, I don't know which equation N(u,o^2) refers to; part1 with mean = E(X) and o^2 = VAR(X) for B~ Bernoulli (p = 0.4)

I'm attempting to find out the probability of a mean being less than the sample proportion (in this case, 0.4) of a binomial distribution.

I already have a simulation approximation, an exact value, but now I also need one via the CLT... but I'm a tad lost.

Thank you for your help.

I'm working on a stats project, but in the assignment there is some notation I haven't been able to find in the book or googling. in the below, I don't know which equation N(u,o^2) refers to; part1 with mean $= E(X)$ and $\sigma^2 = \text{VAR}(X)$ for $B \sim \text{Bernoulli}(p)$ with $p = 0.4$.

I'm attempting to find out the probability of a mean being less than the sample proportion (in this case, 0.4) of a binomial distribution.

I already have a simulation approximation, an exact value, but now I also need one via the CLT... but I'm a tad lost.

Thank you for your help.

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Alanek
Alanek
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Help deciphering Statistics notation

I'm working on a stats project, but in the assignment there is some notation I haven't been able to find in the book or googling. in the below, I don't know which equation N(u,o^2) refers to; part1 with mean = E(X) and o^2 = VAR(X) for B~ Bernoulli (p = 0.4)

I'm attempting to find out the probability of a mean being less than the sample proportion (in this case, 0.4) of a binomial distribution.

I already have a simulation approximation, an exact value, but now I also need one via the CLT... but I'm a tad lost.

Thank you for your help.