There were only 22 California
2 answers:
Answer:
Step-by-step explanation:
Initial number of Condors = 22
New number of Condors = 405
Use percentage increase formula to find the percentage increase in Condor's population in 2012;
Percentage increase =
Next, plug in the numbers into the formula;
Percentage increase =
=Therefore, they increase by 1741% to the nearest whole percent.
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Answer:
25%
Step-by-step explanation:
George is 33% (
%) richer than Pete. Let Pete's percentage of wealth be 100%.
Thus George percentage of wealth = 100% + %
= %
= 133%
Pete's percent poorer than George can be determined by;
= ÷
× 100
= ×
×100
= 0.25 × 100
= 25%
Pete is 25% poorer than George.
Hope this helped :3
:)
Answer:
a) The point estimate of the proportion of items returned for the population of
sales transactions at the Houston store = 12/80 = 0.15
b) The 95% confidence interval for the proportion of returns at the Houston store = [0.0718 < p < 0.2282].
c) Yes.
We set an hypothesis and construct a test statistics. The test statistics result gives us:
Z calculated = 2.2545, and this gives us the p-value = 0.0121. We assumed 95% confident interval. Hence, the level of significance (α) = 5%. Conclusively, since the p-value ==> 0.0121 is less than (α) = 5%, the test is significant. Hence, the proportion of returns at the Houston store is significantly different from the returns for the nation as a whole.
Step-by-step explanation:
a) Point estimate of the proportion = number of returned items/ total items sold = 12/80 = 0.15.
b) By formula of confident interval:
CI(95%) = p ± Z*,
CI(95%) = [0.0718 < p < 0.2282]
c) The hypothesis:
: The proportion of returns at the Houston store is not significantly different from the returns for the nation as a whole.
: The proportion of returns at the Houston store is significantly different from the returns for the nation as a whole.
The test statistics:
Z = , where
is the proportion of nation returns.
Z calculated = 2.2545, and this gives us the p-value = 0.0121. We assumed 95% confident interval. Hence, the level of significance (α) = 5%. Conclusively, since the p-value ==> 0.0121 is less than (α) = 5%, the test is significant. Hence, the proportion of returns at the Houston store is significantly different from the returns for the nation as a whole.