Finding $P(Y leq 0.49)$ with standard normal distribution
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The problem is as such below
With the given information:
$P(Y leq 0.49)$ and I am provided a standard normal distribution table (which I think is meant for this question...)
So I believe I have to find $F(0.49)=Phi(frac{0.49-mu}{sigma})=Phi(frac{0.49-0}{frac{1}{100}})$ , central limit theorem, and $Phi(49)$ is wrong as 49 is too big for Z. So did I approach the problem wrong, or did I make a mistake by applying the central limit theorem and standard normal distribution assumptions.
probability proof-verification
asked Nov 15 at 9:08
glockm15
32519
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up vote
0
down vote
favorite
The problem is as such below
With the given information:
$P(Y leq 0.49)$ and I am provided a standard normal distribution table (which I think is meant for this question...)
So I believe I have to find $F(0.49)=Phi(frac{0.49-mu}{sigma})=Phi(frac{0.49-0}{frac{1}{100}})$ , central limit theorem, and $Phi(49)$ is wrong as 49 is too big for Z. So did I approach the problem wrong, or did I make a mistake by applying the central limit theorem and standard normal distribution assumptions.
probability proof-verification
asked Nov 15 at 9:08
glockm15
32519
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
The problem is as such below
With the given information:
$P(Y leq 0.49)$ and I am provided a standard normal distribution table (which I think is meant for this question...)
So I believe I have to find $F(0.49)=Phi(frac{0.49-mu}{sigma})=Phi(frac{0.49-0}{frac{1}{100}})$ , central limit theorem, and $Phi(49)$ is wrong as 49 is too big for Z. So did I approach the problem wrong, or did I make a mistake by applying the central limit theorem and standard normal distribution assumptions.
probability proof-verification
asked Nov 15 at 9:08
glockm15
32519
The problem is as such below
With the given information:
$P(Y leq 0.49)$ and I am provided a standard normal distribution table (which I think is meant for this question...)
So I believe I have to find $F(0.49)=Phi(frac{0.49-mu}{sigma})=Phi(frac{0.49-0}{frac{1}{100}})$ , central limit theorem, and $Phi(49)$ is wrong as 49 is too big for Z. So did I approach the problem wrong, or did I make a mistake by applying the central limit theorem and standard normal distribution assumptions.
probability proof-verification
probability proof-verification
asked Nov 15 at 9:08
glockm15
32519
asked Nov 15 at 9:08
glockm15
32519
asked Nov 15 at 9:08
glockm15
32519
asked Nov 15 at 9:08
glockm15
32519
asked Nov 15 at 9:08
glockm15
32519
32519
add a comment |
add a comment |
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