Calculating Probability with a Normal Distribution

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Discussion Overview

The discussion revolves around calculating the probability of a baker completing the baking of 78 cakes within a specified time frame using a normal distribution. Participants explore the implications of the normal distribution of baking times and the relationship between sample means and population parameters.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant suggests treating the problem as a Poisson distribution but expresses concern about the complexity of evaluating it.
  • Another participant explains that the sample mean is normally distributed and provides the mean and standard deviation for the sample of 78 cakes.
  • A different participant argues that the sum of independent normal distributions is also normally distributed, emphasizing the relationship between means and variances.
  • One participant raises a question about the relevance of the sample mean, suggesting that the Central Limit Theorem might apply if the baking times are approximately normal.
  • Another participant clarifies that the total baking time is the sum of individual baking times for the cakes.
  • A later reply indicates an understanding of standardizing the normal distribution to find the probability, using the mean and standard deviation derived from the sample size.

Areas of Agreement / Disagreement

Participants express differing approaches to the problem, with some focusing on the sample mean and others on the distribution of the sum of baking times. No consensus is reached on the best method to calculate the probability.

Contextual Notes

Participants discuss the implications of using the sample mean versus the sum of distributions, highlighting the potential for different approaches based on assumptions about the normality of the data.

splitendz
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Hi Guy's,

I have problems answering questions like this...(i'll just make up a question)

The time it takes to bake a cake in a bakery shop is a random variable that has a normal distribution with a mean of 4.5 minutes and standard deviation of 1 minute.

Lets suppose this bakery has been given an order to make 78 cakes. What is the probability that the baker will have in less than 380 minutes all 78 cakes ready?

My first instinct is to treat this as a poisson distribution but if I was to evaulate P[N < 79] it would simply take too long.

Any ideas would be great :)
 
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The sample mean is distributed about normally. In this case it is distributed exactly normally, because the observations have the normal distribution. The sample mean has the same mean as the population mean, and its standard deviation is the population's standard deviation divided by the square root of the sample size. With u the mean baking time for his sample of 78 cakes, the mean of u is 4.5 and the standard deviation of u is 1/sqrt(78). From the distribution of the mean, you can easily determine the distribution of the sum.
 
BT - why talk about the sample mean?

The sum of n normal distributions(mu,sigma) is distributed normally with mean equal to n * mu, standard deviation = sqrt(n)*sigma. That's a fairly standard result due to the fact that when adding two independent random variables with normal distributions, sum their means, and add their variances for the distribution of their sum.
 
Last edited:
Or, you could do it your way.

I was talking about the sample mean because maybe his pie baking times are _approximately_ normal, and not _exactly_ normal. By the Central Limit Theorem you can say that the sample mean is still about normal. Not that it makes a difference in this case, but that's why I approached it by the sample mean.
 
How will knowing the sample distribution of the sum assist in determining the probability of the baker making 78 cakes in under 380 minutes?
 
The total time it takes to bake the 78 cakes is the sum of the sample of the 78 baking times of each of the cakes.
 
Ah, I think I get it. The mean for a population and a sample are the same and the standard deviation is given by 1/sqrt(N) as you said. Once you have the stanard deviation and the mean for the sample distribution you can then standardise the normal distribution and find the probability accordingly. In this case it would be the probability that the time it takes to bake a cake is less than 380/78 given mu = 4.5 and a standard deviation of 1/sqrt(78) = 0.11. Right?
 

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