Normal and binomial distribution: using Z-scores to find answer

In summary, the owner of the fruit shop has a mean price of $1.35/kg and a standard deviation of 18 cents for bananas in stock. He is only willing to pay a maximum price of $1.31, based on a Z-score of 0.201. This means there is an 8% chance he will have stock left at the end of the day. The Z-score should not be negative as it represents the right-hand 8% of the distribution.
  • #1
jackscholar
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The prices for bananes that a fruit shop would have to pay to keep them in stock have a mean of $1.35/kg and a standard deviation of 18 cents. The owner will not pay more than a certain price, but manages to keep stock 8% of the time. What is the maximum price the ownwer will pay?

I found 0.08 on a Z-score table and it was approximately Z=0.201. This is a negative number because it is less than the mean (or so i figured). I used the formula Z=(X-μ)/σ and re-arranged to get (-0.201*0.18)+1.35= price he is willing to pay. This then gave $1.31.
 
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  • #2
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"...but manages to keep stock 8% of the time"

means the probability the owner will have stock left at the end of the day is 8%, or 0.08. Stated another way, there is only an 8% chance that the demand for his product will be greater than what he has on hand. This means the Z-score you seek is the one that cuts off the right-hand 8% of the distribution, so should not be a negative value. Your basic idea for attacking the problem seems correct, except for this item.
 

Related to Normal and binomial distribution: using Z-scores to find answer

1. What is a normal distribution?

A normal distribution, also known as a Gaussian distribution, is a probability distribution that is symmetric around the mean. It is often used to model naturally occurring phenomena such as heights, weights, and test scores.

2. What is a binomial distribution?

A binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent trials. It is often used to model binary outcomes, such as success or failure, heads or tails, and yes or no.

3. What is a Z-score?

A Z-score, also known as a standard score, is a measure of how many standard deviations a data point is above or below the mean of a distribution. It is calculated by subtracting the mean from the data point and dividing by the standard deviation.

4. How do you use Z-scores to find answers?

Z-scores can be used to find the probability of a data point occurring in a normal or binomial distribution. By converting the data point into a Z-score and using a Z-table or a statistical software, you can find the corresponding probability or percentile of that data point in the distribution.

5. What is the importance of using Z-scores in statistics?

Z-scores are important in statistics because they allow us to compare and analyze data from different distributions. They also help us to standardize and interpret data, making it easier to draw conclusions and make predictions.

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