But because where are alternative hypothesis is greater than 0.6, we need to do 1 -1981 to give us our p value, which is. The standard normal probability table When we look up 2.89 gives us a value of. Now we need that to give us our p value from our table in the back of the book. And after you run this calculation we get a Z score of 2.89. 6 and that's going to go here in a few places And our sample size was 50. Are hypothesized, population proportion is. An alternative hypotheses are given and now we need our Z score. So it is appropriate to use the one proportion Z test. Population proportion bigger than 5, 50 times 500.6 is bigger than five and 50 times one minus 10.6 is also bigger than five. Is it a simple random sample? Yes, they tell us that is our sample size times are hypothesized. And then our technical conditions here have to be met to run the one proportion Z test. Is it appropriate to run the one proportion Z test with the given sample data? Well, the first thing we're gonna need to know is our sample proportion, which in this case is 40 out of 50 Or 0.8.
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