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Statistics 9 Online
OpenStudy (anonymous):

There are two boxes, each with several million tickets marked “1” or “0”. The two boxes have the same number of tickets, but in one of the boxes, 49% of the tickets are marked “1” and in the other box 50.5% of the tickets are marked “1”. Someone hands me one of the boxes but doesn’t tell me which box it is. Consider the following hypotheses: Null: p = 0.49 Alternative: p = 0.505 Here is my proposed test: I will draw a simple random sample of 10,000 tickets, and if 5,000 or more of them are marked “1” then I will choose the alternative; otherwise I will stay with the null.

OpenStudy (anonymous):

1. The significance level of my test is _____%. 2. The power of my test is _____%.

OpenStudy (amistre64):

the standard deviation would appear to be sqrt(npq): sqrt(10000*.49*.51), or about 49.99

OpenStudy (amistre64):

but then that doesnt help out much .... \[\Large Z =\frac{H_a-H_o}{\sqrt{\frac{\mu H_o(1-\mu H_o)}{n}}}\] \[\frac{.505-.49}{\sqrt{\frac{.49~.51}{10000}}}=3.0006...\] so if ive done this correctly, thats like a 99% CI

OpenStudy (amistre64):

or, since 50/100 = .5 .. try that with a .50 instead of the .505 maybe?

OpenStudy (amistre64):

which if ive done it correctly leads to a cutoff of 2.00004 ... which is about a 95% CI

OpenStudy (anonymous):

@amistre64 The null is 49%. So z = -0.025. and then?

OpenStudy (amistre64):

the cutoff is at 5000 out of 10000; so .50 is the test statistic for this; and we have a one tailed test |dw:1375368965029:dw|

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