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Paste dataset 3 into an appropriate dataset summarizer refer to the following video https://youtu.be/t_lbrx0xZdk Paste in computer output that measure evidence for the claim there
Paste dataset 3 into an appropriate dataset summarizer refer to the following video https://youtu.be/t_lbrx0xZdk
- Paste in computer output that measure evidence for the claim there is a relationship between the variables "which version?" and "correct or incorrect?" if you consider the whole population
Hint: inferential statistics measure evidence for a claim.
Two way table | |||||||
correct count | incorrect count | row total | |||||
Version A | 395 | 87 | 482 | ||||
Version B | 473 | 45 | 518 | ||||
Inferential statistics | |||||||
n1 | n2 | phat 1 | phat 2 | ||||
482 | 518 | 0.819502075 | 0.91312741 | ||||
Estimate of the difference between population proportions | |||||||
phat1-phat2 | |||||||
-0.0936253 | |||||||
standard error of estimate | |||||||
0.02142192 | |||||||
Confidence interval | |||||||
you are 95% confident that p1-p2 is between | |||||||
-0.1356123 | |||||||
and | |||||||
-0.0516384 | |||||||
0 is NOT in the confidence interval so there is strong evidence there is a diffference in proportions | |||||||
hypothesis testing | |||||||
test stat | two sided pvalue | ||||||
-4.3705387 | 1.2394E-05 | ||||||
To calculate the p-value H0:p1=p2 is assumed to be true | |||||||
since the test is two sided H1 is H1:p1p2 |
- Calculate the z test stat for sample proportion , the formula is =
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