OARLY

The Normal Distribution [Video Tutorial]

This tutorial covers material encountered in chapter 16 of the VCE Mathematical Methods Textbook, namely:

  • Normal random variables
  • The standard normal distribution
  • Standardising a normal distribution

Q1 – Calculate Probability for a Standard Normal Distribution

https://youtu.be/Quaoj5por8Q

Q2 – Standardising a Normal Distribution

https://youtu.be/wjmeaOEtQEk

Q3 – Calculate Probability for a Normal Distribution with Mean and Standard Deviation Provided

https://youtu.be/gBXhd24KLfY

Q4 – Find Probability for a Normal Distribution in Terms of the Standard Normal Distribution

https://youtu.be/So-jD6U55mM

Q5 – Application of the Normal Distribution

https://youtu.be/eT4XaiiXG8Q

Worksheet

Q1. If \(Z\) is the standard normal distribution and \(P(Z\leq a)=p\), find in terms of \(p\):

(a) \(P(Z>a)\)

(b) \(P(-Z<a)\)

(c) \(P(-a<Z<a)\)

Q2. Let \(X\) be a normal distribution with mean 5 and standard deviation 3. Let \(Z\) be the standard normal random distribution. Find:

(a) \(a\) if \(P(X<2)=P(Z<a)\)

(b) \(b\) if \(P(X>8)=P(Z>b)\)

(c) \(P(X>5)\)

Q3. Let \(Y\) be a normal distribution with mean \(\mu\) and standard deviation \(\sigma\). If \(\mu<a<b\) with \(P(Y<b)=p\) and \(P(Y<a)=q\), find:

(a) \(P(Y<a\,|\,Y<b)\)

(b) \(P(Y<b\,|\,Y<a)\)

(c) \(P(Y>b\,|\,Y>a)\)

(d) \(P(Y<2\mu – b)\)

Q4. Let \(Y\) be a normal distribution with mean 6 and standard deviation 3. Write each of the following in terms of the standard normal distribution \(Z\):

(a) \(P(Y<4)\)

(b) \(P(Y>1)\)

(c) \(P(1<Y<5)\)

(d) \(P(1<Y<10)\)

Q5. Suppose that Bill has recently completed four exams for his subjects, the results of which are shown below:

\begin{array}{c||ccc} 
& \mu & \sigma & \text { Bill's mark } \\
\hline \text { Music Composition } & 65 & 14 & 85 \\
\hline \text { Japanese 1 } & 68 & 15 & 82 \\
\hline \text { Complex Analysis } & 55 & 16 & 68 \\
\hline \text { Metric and Hilbert Spaces } & 53 & 13 & 73
\end{array}

Rank Bill’s performance in his exams relative to the other students from his best to his worst exam.

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