Answer:
A.) 147% out of 621 is 974.97 or 975
B.) 125% out of 549 is 686.25 or 686
Therefor option A has the largest outcome, and option B has the lowest outcome.
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Answer:
It is 660.4 millimeters.
Step-by-step explanation:
All you have to do is multiply 25.4 by 26.
Answer:
The 95% confidence interval estimate of the true population proportion of U.S. employers that were likely to require higher employee contributions for health care coverage is 0.52 +/- 0.0370
= (0.4830, 0.5570)
The margin of error M.E = 0.0370
Step-by-step explanation:
Confidence interval can be defined as a range of values so defined that there is a specified probability that the value of a parameter lies within it.
The confidence interval of a statistical data can be written as.
p+/-z√(p(1-p)/n)
p+/-M.E
Given that;
M.E = margin of error
Proportion p = 52% = 0.52
Number of samples n = 700
Confidence interval = 95%
z value (at 95% confidence) = 1.96
Substituting the values we have;
0.52 +/- 1.96√(0.52(1-0.52)/700)
0.52 +/- 1.96(0.0189)
0.52 +/- 0.0370
( 0.4830, 0.5570)
The 95% confidence interval estimate of the true population proportion of U.S. employers that were likely to require higher employee contributions for health care coverage is 0.52 +/- 0.0370
= (0.4830, 0.5570)
The margin of error M.E = 0.0370
Answer:
Value of
is, 1
Step-by-step explanation:
To find the value of ![[(\frac{2}{3})^0]^{-3}](https://tex.z-dn.net/?f=%5B%28%5Cfrac%7B2%7D%7B3%7D%29%5E0%5D%5E%7B-3%7D)
Using exponents power rule:

then;

Simplify:

By Zero exponent rule: Anything raised to the power 0 is 1. i.e,

then;
= 1
Therefore, the value of
is, 1
4 inches is the combined length