The 95% margin of error simony states that there is a 95% probability that the confidence interval contains the true population mean.
<h3>What is a margin of error?</h3>
It should be noted that the margin of error simply means a measurement that accounts for the difference between the actual result and the projected result in a survey sample.
In this case, the 95% margin of error simply states that there is a 95% probability that the confidence interval contains the true population mean. This is the radius of the 95% confidence interval.
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Answer: a
Step-by-step explanation:
Answer:
The answer would be A)98.
I got this by taking the 3 test scores that were provided and adding them then subtracting that by 360 (90x4 - which would give you a 90 in the end) so I had 360 - 262 which equaled 98 and that would be the score needed to have a 90 in the end.
The answer would be (8/11,0) as the x-intercept