IB Maths SL Normal Distribution
A normal distribution is a continuous probability distribution for a random variable X. The graph of a normal distribution is called the normal curve. A normal distribution has the following properties.
- The mean, median, and mode are equal.
- The normal curve is bell-shaped and is symmetric about the mean.
- The total is under the normal curve is equal to one.
- The normal curve approaches, but never touches, the x-axis as it extends farther and farther away from the mean.
Approximately 68% of the area under the normal curve is between and
and . Approximately 95% of the area under the normal curve is between and
. Approximately 99.7% of the area under the normal curve is between
and
The standard normal distribution is a normal probability distribution that has a mean of 0 and a standard deviation of 1.
Why is the Normal Distribution is so important?
Many things actually are normally distributed, or very close to it. For example, height and weight are approximately normally distributed.
Questions and Answers
1. IB Mathematics SL – Continuous Probability Distribution, Normal Distribution
How can we find the standard deviation of the weight of a population of dogs which is found to be normally distributed with mean 7.4 Kg and the 10% of the dogs weigh at least 8 Kg.
Solution
IB Mathematics SL – Continuous Probability Distribution, Normal Distribution
Let the random variable W denote the weight of the dogs, so that
We know that
Since we don’t know the standard deviation, we cannot use the inverse normal. Therefore we have to transform the random variable to that of
, using the transformation
we have the following
Using GDC Casio fx-9860G SD
MAIN MENU > STAT>DIST(F5)>NORM(F1)>InvN>
Setting Tail: right
Area: 0.1
:1
:0
We find that the standardized value is 1.28155
Therefore,
2. IB Mathematics SL – Continuous Probability Distribution, Normal Distribution
How can we find the mean
of the weight of a population of students which is found to be normally distributed with standard deviation 2 Kg and the 20% of the students weigh at least 53 Kg.
Solution
IB Mathematics HL – Continuous Probability Distribution, Normal Distribution
Concerning your question
Let the random variable W denote the weight of the students, so that
We know that
Since we don’t know the mean, we cannot use the inverse normal. Therefore we have to transform the random variable to that of
, using the transformation
we have the following
Using GDC Casio fx-9860G SD
MAIN MENU > STAT>DIST(F5)>NORM(F1)>InvN>
Setting Tail: right
Area: 0.2
:1
:0
We find that the standardized value is 0.8416
Therefore,
3. IB Mathematics HL – Continuous Probability Distribution, Normal Distribution
How can we find the percentage of the population will benefit from a new tax law expected to benefit families with income between $30,000 and $40,000 given that the family income follows a normal distribution with mean $36,000 and standard deviation $8,000 ??
Solution
IB Mathematics SL – Continuous Probability Distribution, Normal Distribution
Let the random variable I denote the family income, so that
the probability is
Using GDC Casio fx-9860G SD
MAIN MENU > STAT>DIST(F5)>NORM(F1)>Ncd>
Setting Lower: 30,000
Upper: 40,000
: 8,000
: 36,000
We find that the probability is 0.465
So 46.5% of the families will benefit from this new tax law.