What is the value of d if P(X<d)=0.34?

In summary: Therefore,0.68=P(d<X<100)+0.34P(d<X<100)=0.34So then,P(d<X<105)=0.34+P(X<105)=0.34+0.16=0.5Therefore,P(95<X<105)=0.5which is 68% within 1 standard deviation from the mean.
  • #1
karush
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Let \(\displaystyle X\) be normally distributed with \(\displaystyle \mu =100cm\) and \(\displaystyle \sigma =5 cm\)

\(\displaystyle (a\)) shade region \(\displaystyle P(X>105)\)

https://www.physicsforums.com/attachments/1010

(b) Given that \(\displaystyle P(X<d)=P(X>105)\), find the value of \(\displaystyle d\).

wasn't sure if this meant that \(\displaystyle d\) is the left of 105 which would be larger in volume than \(\displaystyle X>105\)
 
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  • #2
What volume? The probabilities are areas...

Anyway, it's asking you to set the two probabilities equal to each other. So if your area was measured from the left instead of from the right, what value on the x-axis would you get to? Hint: The areas are equal and symmetrical about the mean.
 
  • #3
Prove It said:
What volume? The probabilities are areas...

Anyway, it's asking you to set the two probabilities equal to each other. So if your area was measured from the left instead of from the right, what value on the x-axis would you get to? Hint: The areas are equal and symmetrical about the mean.

yes area not volume

so then \(\displaystyle d=95\) if \(\displaystyle p(X<d)\) for the same area as \(\displaystyle P(X>105)\)
 
  • #4
karush said:
yes area not volume

so then \(\displaystyle d=95\) if \(\displaystyle p(X<d)\) for the same area as \(\displaystyle P(X>105)\)

Correct :)
 
  • #5
(c) Given that \(\displaystyle P(X>105)=0.16\) (correct to \(\displaystyle 2\) significant figures), find \(\displaystyle P(d<X<105)\)

so that is within \(\displaystyle 68\%\) within
\(\displaystyle 1\) standard deviation of the mean

or do just \(\displaystyle (2)0.16 = 0.32\)

not sure??
 
  • #6
karush said:
(c) Given that \(\displaystyle P(X>105)=0.16\) (correct to \(\displaystyle 2\) significant figures), find \(\displaystyle P(d<X<105)\)

so that is within \(\displaystyle 68\%\) within
\(\displaystyle 1\) standard deviation of the mean

or do just \(\displaystyle (2)0.16 = 0.32\)

not sure??

Yeah. It's 68% within 1 standard deviation.
But that means that P(d<X<105)=P(95<X<105)=0.68.
 
  • #7
karush said:
(c) Given that \(\displaystyle P(X>105)=0.16\) (correct to \(\displaystyle 2\) significant figures), find \(\displaystyle P(d<X<105)\)

so that is within \(\displaystyle 68\%\) within
\(\displaystyle 1\) standard deviation of the mean

or do just \(\displaystyle (2)0.16 = 0.32\)

not sure??

I would write (for clarity):

\(\displaystyle P(d<X<105)=P(d<X<100)+P(100<X<105)\)

\(\displaystyle 0.68=P(d<X<100)+\left(0.5-P(X>105) \right)\)

\(\displaystyle 0.68=P(d<X<100)+0.34\)

\(\displaystyle P(d<X<100)=0.34\)

What do you find?
 
  • #8
MarkFL said:
I would write (for clarity):

\(\displaystyle P(d<X<105)=P(d<X<100)+P(100<X<105)\)

\(\displaystyle 0.68=P(d<X<100)+\left(0.5-P(X>105) \right)\)

\(\displaystyle 0.68=P(d<X<100)+0.34\)

\(\displaystyle P(d<X<100)=0.34\)

What do you find?

i understand what you have here... but don't know how the 0.16 comes into this.
 
  • #9
I used:

\(\displaystyle P(X>105)=0.16\)

in my statement, as :

\(\displaystyle 0.5-P(X>105)=0.5-0.16=0.34\)
 

FAQ: What is the value of d if P(X<d)=0.34?

What is a normal distribution?

A normal distribution, also known as a Gaussian distribution, is a type of probability distribution that is often observed in natural phenomena. It is characterized by a symmetric bell-shaped curve, with the majority of data points falling near the mean and fewer data points at the extremes.

How is a normal distribution calculated?

A normal distribution is calculated using a mathematical formula that takes into account the mean and standard deviation of a dataset. The formula is known as the Gaussian function and is represented by the equation f(x) = (1/σ√2π) * e^-(x-μ)^2/2σ^2.

What is the importance of a normal distribution in statistics?

A normal distribution is important in statistics because it allows us to make predictions and draw conclusions about a population based on a sample. It is also used in various statistical tests and models, such as the central limit theorem and linear regression.

What are the characteristics of a normal distribution?

A normal distribution is characterized by its mean, median, and mode all being equal, as well as having a symmetrical bell-shaped curve. Additionally, approximately 68% of the data falls within one standard deviation of the mean, 95% falls within two standard deviations, and 99.7% falls within three standard deviations.

How is a normal distribution used in real-world applications?

A normal distribution is used in a wide range of real-world applications, including finance, biology, psychology, and quality control. It is also commonly used in data analysis and forecasting, as well as in the development of statistical models and theories.

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