Finding Probability of Lifetime for Light Bulbs Using Normal Distribution Table

In summary, there is a very small chance of finding a bulb with a lifetime that is greater than 850 hours.
  • #1
~angel~
150
0
Note: You'll need the Normal Distribution Table.

A certain type of light bulb has a lifetime in hours which is normally distributed with mean μ=650 and standard deviation σ=40. What is the probablility that a randomly selected light bulb has a lifetime in the range (700, 850)?

Now this is how I tried to do this:

We have to find P(700 ≤ X ≤ 850), but we need it in terms of Z.

Now,
Z= (X-μ)/σ
Z= (X-650)/40

But we have to apply this to all the sides of the inequality, so we end up with

P(1.25 ≤ (X-650)/40 ≤ 5)
= P(1.25 ≤ Z ≤ 5)

But using the Normal Distribution Table, there is no probability for the "5" bit of the inequality. So I'm not sure how to do this.

Thanks.
 
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  • #2
Let me explain on how to use the Normal distribution Table. The normal distribution table is... well... normal! It means it has been normalized with a mean of 0 and a standard deviation of 1. To use this standardized table with bell-shaped distributions you get in real life, you need to get the corresponding value of Z. You are in fact stretching/compressing your real life distribution curve accordingly so that it looks like the normal distribution that you do have on the table!

To convert, you have the equation you mentioned
Z= (X-μ)/σ

The subtraction of the mean does the horizontal shift fix, and the dividing by the standard deviation takes care of the fatness/thinness so that they correspond to each other now.

You are looking for a X1=700, and X2=850 right? What does this correspond to on the Z-table? pluggin them in, you will get Z1, and Z2, now you are looking for

P(Z1 ≤ Z ≤ Z2)

which is possible to do ^_^
 
Last edited:
  • #3
A really small table might not go all the way out to z=5.

What do you get from the table at z=3.5?
What do you get from the table at its highest (z= 3.99)?

There's such a small likelihood of finding a bulb with Z>5
that tables ignore the probability of such a miracle bulb.
 
  • #4
Thanks for your help, but I can't get the answer. The table goes up to 4 only. I tried your way lightgrav, but it's not right. Is there any other way to work this out?
 

1. What is the normal distribution table and how is it used to calculate probability?

The normal distribution table, also known as the standard normal table, is a mathematical tool that is used to determine the probability of a certain value occurring within a normal distribution. It lists the probability of different values falling within a range of standard deviations from the mean. To calculate probability using the normal distribution table, you must first find the z-score of the value you are interested in, and then use the table to find the corresponding probability.

2. How does the normal distribution apply to finding the probability of lifetime for light bulbs?

The normal distribution is often used to model random variables that follow a bell-shaped curve, such as the lifetime of light bulbs. By assuming that the distribution of light bulb lifetime follows a normal distribution, we can use the normal distribution table to calculate the probability of a light bulb lasting for a certain amount of time. This can help us make predictions about how long a light bulb is likely to last and make informed decisions about when to replace them.

3. How is the mean and standard deviation of a normal distribution related to the probability of lifetime for light bulbs?

The mean and standard deviation of a normal distribution are important parameters that describe the shape and spread of the distribution. In the case of light bulb lifetime, the mean represents the average lifetime of the bulbs, while the standard deviation represents how much the lifetimes vary from this average. The normal distribution table uses these parameters to calculate the probability of a light bulb lasting for a certain amount of time.

4. Can the normal distribution be used to accurately predict the lifetime of individual light bulbs?

No, the normal distribution is a probabilistic model that can only make predictions about the likelihood of a certain event occurring. It cannot accurately predict the lifetime of individual light bulbs as each bulb has its own unique characteristics and may not follow the exact pattern of a normal distribution. However, it can provide valuable insights into the overall distribution of light bulb lifetime and help make informed decisions about replacement times.

5. Are there any limitations to using the normal distribution table for finding the probability of lifetime for light bulbs?

Yes, there are a few limitations to using the normal distribution table for this purpose. Firstly, it assumes that the distribution of light bulb lifetime is normal, which may not always be the case. Additionally, it may not accurately capture extreme events or outliers. It is also important to note that the normal distribution table can only be used for continuous data, so it may not be applicable for light bulbs with discrete lifetimes. It is always important to consider the specific characteristics of the data before using the normal distribution table for probability calculations.

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