Normal Approximation Help: 200 Student Survey

In summary, the question is asking for the probability of selecting at least 110 girls out of 200 students in a survey. Using a normal approximation to the binomial distribution, the expected number of girls is 100 and the standard deviation is 5√2. To find the probability, we use a table of normal distribution values and calculate the standard "z" score. It is also important to note that the Binomial distribution is an approximation and relies on the assumption of a large number of students in the school.
  • #1
Ceresu
1
0
Hello ~

I be in dire need of help with this problem because I fell asleep in math class. Could anyone be so kind as to thoroughly guide me through the following problem?

"A school has enrolled the same number of boys and girls. Two hundred students are selected at random to participate in a survey. Use a normal approximation to the binomial distribution to estimate the probability that at least 110 girls will be selected."

Thanks!
-Mathematically-challenged student :eek:
 
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  • #2
If you are selecting 200 students and boys and girls both have probability 1/2 of being selected then the expected number of girls is (1/2)(200)= 100 (in general, with a binomial distribution with probabilities p and 1-p and number n, the expected value is np). The standard deviation is
[itex]\sqrt{200(\frac{1}{2})(\frac{1}{2})}= 5\sqrt{2}[/itex] (in general, it is
[itex]\sqrt{np(1-p)}[/itex]).
"At least 110 girls" means, since the normal distribution does not apply only to integers, "greater than or equal to 109.5" (that's the "half integer correction"). Use a table of normal distribution values to determine the probability that the standard "z" score is greater than [itex]\frac{109.5- 100}{5\sqrt{2}}=1.34[/itex].

(edited thanks to pizzasky)
 
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  • #3
Reply

If I am not mistaken, the standard deviation used in this question should be [itex]\sqrt{np(1-p)}=\sqrt{200(\frac{1}{2})(\frac{1}{2})}[/itex].

Apart from that, it would also be helpful to note that the Binomial distribution used in the question IS actually an approximation in itself. After all, we assume constant probability of success when using the Binomial distribution, but this is not really the case here. In choosing the survey participants, we do it without replacement, so the probability of choosing a girl actually changes as more people are chosen. Hence, an important assumption we need to make is that there is a LARGE number of students (both boys and girls) in the school, so the probablity of choosing a girl does not change too greatly throughout the whole choosing process.

Hope you get what I mean!:biggrin:
 
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FAQ: Normal Approximation Help: 200 Student Survey

What is a normal distribution?

A normal distribution is a type of probability distribution that is commonly used in statistics. It is also known as a Gaussian distribution or bell curve. It is characterized by a symmetric bell-shaped curve and is used to model continuous random variables.

How is the normal distribution used in statistics?

The normal distribution is widely used in statistics to represent many real-world phenomena, such as heights, weights, test scores, and IQ scores. It is also used in hypothesis testing, confidence intervals, and regression analysis.

What is the central limit theorem and how does it relate to the normal distribution?

The central limit theorem states that regardless of the underlying distribution, as the sample size increases, the sampling distribution of the mean will approach a normal distribution. This means that the normal distribution can be used as an approximation for many real-world distributions.

How is the normal approximation used in the 200 student survey?

The normal approximation is used in the 200 student survey to estimate the proportion of students who fall into a certain category based on a sample of 200 students. This is done by assuming that the underlying population distribution is approximately normal and using the properties of the normal distribution to calculate probabilities and confidence intervals.

What are the limitations of using the normal approximation in the 200 student survey?

The normal approximation may not be accurate when the underlying population distribution is not approximately normal. Additionally, the sample size of 200 may not be large enough to accurately represent the entire population. It is important to consider the assumptions and limitations of the normal approximation when using it in the 200 student survey.

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