A witch made two bowls of potion. The first bowl contains 28.5 ounces of potion, and the second bowl contains 3 ounces of potion
2 answers:
3/4 ounces as a decimal is 0.75, so we can subtract 0.75 from 3, and add 0.75 to 28.5 since the witch is pouring that much from the second bowl into the first bowl.
28.5 + 0.75 = 29.25
3 - 0.75 = 2.25
To figure out how many times bigger the first bowl is to the the second bowl, we can divide the first bowl by the second bowl. This will tell us how many times the second bowl will go into the first bowl.
So the first bowl has 13 times more potion than the second bowl.
28.5 + 0.75 = 29.25
3 - 0.75 = 2.25
To figure out how many times bigger the first bowl is to the the second bowl, we can divide the first bowl by the second bowl. This will tell us how many times the second bowl will go into the first bowl.
So the first bowl has 13 times more potion than the second bowl.
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Answer:
a) Hypothesis:
:
:
Where represent the average nose size of male and female respectively.
In words,
: Males and females have the same size noses, on average.
: Males have bigger noses than females, on average.
b) We have evidence that males have bigger noses than females, on average.
Step-by-step explanation:
a) The study wishes to investigate if males have bigger noses than females, on average. By hypothesis test, the null hypothesis is the hypothesis we usually want to reject. That is, we want to prove that the male and female nose sizes are not the same. Hence, the null hypothesis will assume equality. And we state that:
: Males and females have the same size noses, on average.
: Males have bigger noses than females, on average.
b) We are told that the p-value < 0.01. In general, if the assume 5% as the level of significance (). The decision is:
If p-value is less than the , the test is significant otherwise, the test is insignificant.
The given p-value is less than 5% => 0.05, therefore, we say the test is significant. and we conclude that, we have evidence that males have bigger noses than females, on average.
We're trying to find .
Hope this helps.
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