Using the z-distribution, a sample of 142,282 should be taken, which is not practical as it is too large of a sample.
<h3>What is a z-distribution confidence interval?</h3>
The confidence interval is:
The margin of error is:
In which:
is the sample mean.
is the standard deviation for the population.
Assuming an uniform distribution, the standard deviation is given by:
In this problem, we have a 95% confidence level, hence
, z is the value of Z that has a p-value of 
, so the critical value is z = 1.96.
The sample size is found solving for n when the margin of error is of M = 0.006, hence:
n = 142,282.
A sample of 142,282 should be taken, which is not practical as it is too large of a sample.
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The z-score of Kimmie is -0.625
<h3>Calculating z-score</h3>
The formula for calculating the z-score is expressed as;
z = x-η/s
where
η is the mean
s is the standard deviation
x is the Kimmie score
Substitute the given parameter
z = 85.9-88.4/4.0
z = -2.5/4.0
z = -0.625
Hence the z-score of Kimmie is -0.625
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Answer:
Yes
General Formulas and Concepts:
<u>Pre-Algebra</u>
Order of Operations: BPEMDAS
- Brackets
- Parenthesis
- Exponents
- Multiplication
- Division
- Addition
- Subtraction
Coordinates (x, y)
Step-by-step explanation:
<u>Step 1: Define</u>
<em>Identify</em>
Point (7, 0)
Equation y = x - 7
<u>Step 2: Find</u>
- Substitute in point [Equation]: 0 = 7 - 7
- Subtract: 0 = 0
Since 0 = 0 is true, then it would be a solution to the equation.
Answer:
15
Step-by-step explanation:
please the answer is 15
