IDNLearn.com: Where your questions meet expert advice and community support. Ask your questions and receive comprehensive and trustworthy answers from our experienced community of professionals.
Sagot :
Answer:
Mean = 2
Standard deviation = 1.356
Step-by-step explanation:
We are given;
Probability of taxpayers that make mistakes when filling out forms: p = 0.08
Sample size; n = 25
In binomial distribution;
Means is;
μ = np
Thus;
μ = 25 × 0.08
μ = 2
Formula for standard deviation here is;
σ = √(np(1 - p))
σ = √(25 × 0.08(1 - 0.08))
σ = 1.356
The required mean is 2 and standard deviation is 1.356 of the number of forms with mistakes she should expect to find.
Given that,
The Internal Revenue Service estimates that 8% of all taxpayers filling out forms make mistakes.
An IRS employee announces at lunch one day that she is going to check 25 randomly selected forms after lunch.
We have to determine,
The mean and standard deviation of the number of forms with mistakes she should expect to find.
According to the question,
Probability of taxpayers that make mistakes when filling out forms: p = 8%= 0.08
And sample size; n = 25
Therefore,
In binomial distribution mean is determine by the formula,
[tex]\mu = np\\\\\mu = 25 \times 0.08\\\\\mu = 2[/tex]
The mean of the number of forms with mistake she should expect to find is 2.
And, Standard deviation is determined by the formula,
[tex]\sigma = \sqrt{np(1-p)}\\\\\sigma = \sqrt{25\times 0.08 (1-0.08)}\\\\\sigma = \sqrt{2\times0.92}\\\\\sigma =\sqrt{ 1.84}\\\\\sigma = 1.356[/tex]
The standard deviation of the number of forms with mistake she should expect to find is 1.356.
Hence, The required mean is 2 and standard deviation is 1.356 of the number of forms with mistakes she should expect to find.
To know more about Standard deviation click the link given below.
https://brainly.com/question/19793958
We value your presence here. Keep sharing knowledge and helping others find the answers they need. This community is the perfect place to learn together. IDNLearn.com has the solutions you’re looking for. Thanks for visiting, and see you next time for more reliable information.