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AP Statistics 1.1 Statistical Inference 259 Views
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Description:
AP Statistics: Statistical Inference Drill 1, Problem 1. Which of the following statements is true?
Transcript
- 00:02
Here's your shmoop du jour, brought to you by Interval Estimates.
- 00:06
Although honestly, if you're a daredevil looking to leap an interval on your bike... you're
- 00:10
going to want more than an estimate.
- 00:12
Which of the following statements is true?
- 00:15
And here are the potential answers...
Full Transcript
- 00:20
We're given four statements...
- 00:22
...and we need to find the one that ain't messing with us.
- 00:25
The first statement says that a confidence interval is a point estimate.
- 00:29
A confidence interval is an estimate of a range of values within which we would find
- 00:34
repeated sample means.
- 00:36
For example, a 90% confidence interval would mean that repeated sampling
- 00:42
would result in 90% of the sample means falling within the interval.
- 00:47
Therefore, it is not a point estimate. Rather, it is an interval estimate.
- 00:50
And Statement 1 is false.
- 00:53
Statement 2 says that a population proportion is a point estimate.
- 00:56
Again, we have to know what a population proportion is. It is the proportion of a set of data
- 01:01
that fulfills a certain criteria.
- 01:03
For example, the population proportion of people who eat fried ants at least once every
- 01:08
week out of 200 people in the population is a number we can actually calculate.
- 01:15
However, there's no estimation when we find this, so it isn't an estimate at all.
- 01:20
The first two statements are false, so we can eliminate choices A, B, and D.
- 01:25
Statement 3 says that a sample mean is a point estimate.
- 01:30
Remember that a sample mean is a single value that estimates the middle of a set of data.
- 01:35
That one value is a point. Therefore, this statement is true.
- 01:40
Finally, our last statement says that an interval estimate gives more detail about the uncertainty
- 01:43
of the estimate than a point estimate.
- 01:45
This is intuitively true, as simply seeing a mean or median
- 01:49
tells us nothing about the uncertainty of the data.
- 01:51
Whereas when we're given a confidence interval, we know a lot about how certain the data is.
- 01:57
A 99% confidence interval lets us know that 99% of sample means taken will fall within
- 02:02
the range of the interval.
- 02:03
Since both statement 3 and 4 are true, we know our answer is (E).
- 02:07
As in, "Evil Knievel's big moment."
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