Answer: x=12y/-8-3
Step-by-step explanation: image below
The dot plots show rainfall totals for several spring
2 answers:
Answer:
Question No 1
The range of rainfall for the highland storms is 44 mm
Question No 2
The range of rainfall for the lowland storms is 30 mm
Step-by-step explanation:
Question 1
What is the range of rainfall for the highland storms?
2 46 8 10 12 14 16 18 20 22 24 26 28 30 32
First we arrange data in ascending order.
2 8 10 12 14 16 18 20 22 24 26 28 30 32 46
Now we have to find range. The formula used is:
In the given data set:
Maximum Value = 46
Minimum Value = 2
Finding range by putting values in the formula:
So, the range of rainfall for the highland storms is 44 mm
Question 2
What is the range of rainfall for the lowland storms?
2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32
First we arrange data in ascending order.
The data is already arranged in ascending order
Now we have to find range. The formula used is:
In the given data set:
Maximum Value = 32
Minimum Value = 2
Finding range by putting values in the formula:
So, the range of rainfall for the lowland storms is 30 mm
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Answer:
a) Null and alternative hypothesis:
b) A Type I error is made when a true null hypothesis is rejected. In this case, it would mean a conclusion that the proportion is significantly bigger than 10%, when in fact it is not.
c) The consequences would be that they would be more optimistic than they should about the result of the investment, expecting a proportion of students that is bigger than the true population proportion.
d) A Type II error is made when a false null hypothesis is failed to be rejected. This would mean that, although the proportion is significantly bigger than 10%, there is no enough evidence and it is concluded erroneously that the proportion is not significantly bigger than 10%
e) The consequences would be that the investment may not be made, even when the results would have been more positive than expected from the conclusion of the hypothesis test.
Step-by-step explanation:
a) The hypothesis should be carried to test if the proportion of students that would eat there at least once a week is significantly higher than 10%.
Then, the alternative or spectulative hypothesis will state this claim: that the population proportion is significantly bigger than 10%.
On the contrary, the null hypothesis will state that this proportion is not significantly higher than 10%.
This can be written as: