A strategy which would produce a new confidence interval with an <u>increased</u> margin of error is to: A. use a 98% confidence level.
<h3>What is a confidence interval?</h3>
A confidence interval simply refers to a range of estimated values which defines the probability that a population parameter will lie within it.
<h3>How to calculate the margin of error?</h3>
Mathematically, a margin of error is calculated by using this formula:
From the above formula, we can deduce that the margin of error is directly proportional to the critical value and inversely proportional to the square root of sample size.
This ultimately implies that, increasing the confidence level from 95% to 98% would <u>increase</u> the critical value and by extension the margin of error and vice-versa.
Read more on confidence interval here: brainly.com/question/25779324
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<span>“If I go to the beach, then I will wear sunblock”.
The hypothesis is the part of the statement that goes after "if".
So the </span>hypothesis is "<span>I go to the beach."</span>
Answer:
Yes, it will
Step-by-step explanation:
Given
Length of Ladder = 12 ft
Angle = 64
Required
Determine if it'll reach a height of 10.5ft from the base
See attachment for proper illustration.
<em>From the attachment, we want to determine that x be greater than 10.5</em>
Using sin formula:
Multiply through by 12
(Approximated)
<em>Since 10.79 is greater than 10.5, then the ladder will reach the window</em>
sin64 = x/12
x = 12* sin64
Answer:
1
Step-by-step explanation:
of course the answer is one but you can't write it in exponential form because a regular keyboard doesn't contain it
Answer: C) There is no positive or negative correlation
A positive correlation is one where the values are increasing, and the line of dots are clearly going down to up.
A negative correlation is the opposite. The values are decreasing, and the line goes from up to down.
This correlation is one that is neither positive or negative. It is a straight line where the values neither increase nor decrease.
Hope this helps comment below for more questions :)
