Respuesta :
Answer:
0% probability that more than 100 of the people contacted will purchase your product
Step-by-step explanation:
To solve this question, i am going to use the binomial approximation to the normal.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
Can be approximated to a normal distribution, using the expected value and the standard deviation.
The expected value of the binomial distribution is:
[tex]E(X) = np[/tex]
The standard deviation of the binomial distribution is:
[tex]\sqrt{V(X)} = \sqrt{np(1-p)}[/tex]
Normal probability distribution
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
When we are approximating a binomial distribution to a normal one, we have that [tex]\mu = E(X)[/tex], [tex]\sigma = \sqrt{V(X)}[/tex].
In this problem, we have that:
[tex]p = 0.03, n = 2000[/tex]
So
[tex]\mu = E(X) = np = 2000*0.03 = 60[/tex]
[tex]\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{2000*0.03*0.97} = 7.63[/tex]
What is the probability that more than 100 of the people contacted will purchase your product?
This is 1 subtracted by the pvalue of Z when X = 100. So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{100 - 60}{7.63}[/tex]
[tex]Z = 5.24[/tex]
[tex]Z = 5.24[/tex] has a pvalue of 1
1 - 1 = 0
0% probability that more than 100 of the people contacted will purchase your product
The probability that more than 100 purchase the product is 0
The given parameters are:
[tex]\mathbf{p = 3\%}[/tex]
[tex]\mathbf{n = 2000}[/tex]
Calculate the mean using
[tex]\mathbf{\mu = np}[/tex]
[tex]\mathbf{\mu = 2000 \times 3\%}[/tex]
[tex]\mathbf{\mu = 60}[/tex]
Calculate the standard deviation using
[tex]\mathbf{\sigma = \sqrt{\mu(1 - p)}}[/tex]
So, we have:
[tex]\mathbf{\sigma = \sqrt{60 \times (1 - 3\%)}}[/tex]
[tex]\mathbf{\sigma = 7.63}}[/tex]
For x = 100, the z-score is calculated using:
[tex]\mathbf{z = \frac{x - \mu}{\sigma}}[/tex]
So, we have:
[tex]\mathbf{z = \frac{100 - 60}{7.63}}[/tex]
[tex]\mathbf{z = \frac{40}{7.63}}[/tex]
[tex]\mathbf{z = 5.24}[/tex]
So, the probability that more than 100 purchase the product is calculated using:
[tex]\mathbf{P(x > 100) = P(z > 5.24)}[/tex]
From z-score of probabilities, we have:
[tex]\mathbf{P(x > 100) = 0}[/tex]
Hence, the probability is 0
Read more about probabilities at:
https://brainly.com/question/11234923