The 95% confidence interval will be wider than the 90% confidence interval.
In statistics, the likelihood that a population parameter will fall between a set of values for a certain percentage of the time is referred to as a confidence interval. Analysts frequently employ confidence ranges that include 95% or 99% of anticipated observations. Therefore, it may be concluded that there is a 95% likelihood that the real value falls within that range if a point estimate of 10.00 with a 95% confidence interval of 9.50 - 10.50 is derived using a statistical model.
- The level of certainty or uncertainty in a sampling process is measured by confidence intervals.
- Additionally, they are employed in regression analysis and hypothesis testing.
- To determine statistical significance, statisticians frequently combine confidence intervals with p-values.
- 95% or 99% confidence levels are most frequently used in their construction.
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Answer:
(A) 22,222.22
(B) 57,142.86
Explanation:
we will divide the deposit by the reserve requirement to know how much will expand the money supply.
4,000/0.18 = 22,222.22
4,000/0.07 = 57,142.86
The reasoning behind this multiplier effect is the following:
you deposit 4,000
the bank leave 18% = 920
And lend the remaninder: 3,080
Then, when this are deposit, again takes the minimun reserve and lend the remainder:
3,080 x 18% = 554.4
3,080 - 554.4 = 2,525.6
This process is repeated giving diminished amount to money available to lend. Thus, finding a limit on the division between fund and reserve requirement.
4,000/0.18 = 22,222.22
Answer:
Antonie Van Leeuwenhoek called his discovery "wee animalcules"
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Answer:
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