Help on normal distribution question please

In summary, the contractor has purchased a new bulldozer and wants to know the mean and standard deviation of the probability distribution for the probability of failure of a bulldozer. The mean is 0.3 and the standard deviation is √(0.21). This is based on a binomial distribution with 50 bulldozers, where 15 have previously failed and assume a normal approximation is applicable.
  • #1
gradds
1
0
" A contractor has recently purchased a new bulldozer. On previous jobs, 15 out of a total of 50 bulldozers have broken down before the end of the job.

What is the mean and standard deviation of the probability distribution describing the probability of failure of a bulldozer?

Note: assume a normal approximation is applicable."

Mean of the probablity distribution seems obvious (0.3), but how does one find the standard deviation?? :confused:

Thanks for any help that can be offered. :approve:
 
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  • #2
[tex]\sqrt{\frac{1}{n-1}\sum_{i=1}^n ({x_i}-{\bar{x}})^2}[/tex]
Hope this helps.

Paden Roder
 
  • #3
In the standard dev. expression, the mean is 0.3, as you noted. The xi are either 0 (35 terms) or 1 (15 terms), where n=50.
 
  • #4
This is a binomial distribution (I'm not sure why they mention a "normal approximation"- if you were asked for specific probablities of, say, 17 breaking down, you might want to use an approximation but it isn't necessary just to find the mean and standard deviation).

In a binomial distribution with n occurances, probability p of "sucess" on anyone and (1-p) of "failure", the mean is np and the standard deviation is √(np(1-p)).

The probability of a single bulldozer breaking down, here, is p= 15/50= 0.3 and you are asked about 1 bulldozer so, yes, the mean is 0.3. The standard deviation is
√(0.3*0.7)= √(0.21).
 

Related to Help on normal distribution question please

1. What is a normal distribution?

A normal distribution is a statistical concept that describes the spread of data. It is a bell-shaped curve that is symmetrical around the mean. In a normal distribution, the majority of values fall close to the mean, with fewer values falling further away from the mean.

2. How is a normal distribution calculated?

A normal distribution is calculated using the mean and standard deviation of a set of data. The mean represents the center of the distribution, while the standard deviation measures how spread out the data is. These two values are used to create the bell-shaped curve of the normal distribution.

3. What is the purpose of a normal distribution?

The purpose of a normal distribution is to help analyze and interpret data. It is commonly used in statistical analysis to determine the probability of events and to make predictions based on a given set of data.

4. How is a normal distribution different from other types of distributions?

A normal distribution is different from other types of distributions in that it is symmetrical and has a bell-shaped curve. Other distributions, such as skewed distributions, have a longer tail on one side and may not be symmetrical. The normal distribution is also widely used in statistics, while other distributions may have more specialized applications.

5. How can I use a normal distribution to solve a problem?

A normal distribution can be used to solve a problem by finding the probability of a certain event occurring. This can be done by finding the area under the curve using a z-score table or a statistical software. Additionally, the properties of a normal distribution, such as the 68-95-99.7 rule, can be used to make predictions about a set of data.

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