Respuesta :
Answer:
Sample size = 1
Not a reasonable sample size
Step-by-step explanation:
Mean of the test scores = u = 100
Standard deviation of the test scores = σ = 12
Confidence Level = 90%
The z-score for 90% confidence level = z = 1.645
Mean IQ should be 33 points within the sample mean. So,
Error size = E = 33
Sample size = n ?
Since the distribution is normal, we can use the formula of margin of error for z-distribution to calculate the missing sample size.
[tex]E = z\frac{\sigma}{\sqrt{n} } \\\\\sqrt{n}= \frac{z \sigma}{E}[/tex]
[tex]n=(\frac{z \sigma}{E})^{2}[/tex]
Using the given values, we get:
[tex]n=(\frac{12 \times 1.645}{33} )^{2}\\\\ n = 0.357[/tex]
Rounding to the next bigger integer the sample size comes out to be 1. This is not a reasonable estimate for a real world calculation as we cannot draw a conclusion for a complete population based on the sample size of 1 person
The required sample size using technolog is 0.3578. No. This number of IQ test scores is a fairly small number.
Required sample size
Using this formula
Required Sample Size = (Z-score× StdDev / (margin of error))²
Where:
Standard deviation=12
Margin of Error = 33
z-score for a 90% confidence level= 1.645
Let plug in the formula
Required Sample Size = (1.645 × 12 / 33)²
Required Sample Size = 0.3578
Based on the above required sample size the sample size is not reasonable for a real world calculation beacuse this number of IQ test scores is a fairly small number.
Inconclusion the required sample size using technolog is 0.3578.
Learn more about required sample size here:https://brainly.com/question/17203075