The margin of error for a sample proportion is given by
where:
is the z score associated with the confidence level, p is the sample prortion and n is the sample size.
We assume a confidence level of 95%, then
p = 52% = 0.52 and n = 2251
Therefore, margin of error =
The the interval that is likely to contain the true population proportion is between 49.9% and 54.1%.
Answer:
NO
Step-by-step explanation:
Because the sum of the minor sides equals the measure of the major side, it must be less.
2 + 4 = 6
Hope this helps
Answer:
25
Step-by-step explanation:
remember that the pythagorean theorem is a²+b²=c²
so this equation would be:
7²+24²=c²
solve the exponents
49 + 576 = c²
combine like terms
625 = c²
take the radical of each number
√625 = √c²
25 = c
have a lovely day <3
Answer:
The description according to the framework in question is illustrated in the portion below.
Step-by-step explanation:
- These same 2 histograms are quite dissimilar or separate, for City A, each information collected has always been largely focused at 400, although for City B, these same results are interpreted at 400.
- The price increases including its households throughout City B have quite a higher SD than those of the exchange rates throughout City A, also because documentation from City A generate a lot of price levels close to the middle of the bar chart, as well as the wages throughout City B, require a high amount of rates farther from the midpoint of the
