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Marrrta [24]
3 years ago
6

NEED HELP ASAP PLEASE!!!!!! WILL GIVE ALL POINTS AND BRAINLYEST

Mathematics
1 answer:
Marizza181 [45]3 years ago
7 0

Answer:

wait I literally had the same problem hold up I'll send it to you

Step-by-step explanation:

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Answer: D.

Step-by-step explanation:

the ratio of 12/4 is the same as 3

6 0
3 years ago
HELP???
erik [133]

a. 4/5 because

the equation to find slope is

y2-y1 divided by x2-x1

which is -5-(-1) divided by -2-3 which is -4/-5 which is 4/5.

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4 years ago
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You look behind the stove and discover a slice of bread that you misplaced several weeks ago. Needless to say, it is covered wit
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Answer:

On the 7th day.

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The mold doubles, so on the 7th day, the mold would be half-there.

I used the 8th day's description to figure this out.

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4 years ago
Jay's hair grows about 8 inches each year. Write a function that describes the length l in inches that Jay's hair will grow for
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l=8k

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4 0
3 years ago
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The side length of aDavid is a statistician. He has a sample size of 40 (which he cannot change). What element of his hypothesis
Sergeeva-Olga [200]

Answer: D) the significance level of the test

=======================================================

Explanation:

The significance level of the test, also known as "alpha", is the probability of making a type 1 error. A type 1 error is where you reject the null hypothesis but it was true all along.

The null hypothesis is where we test a certain probability distribution (eg: normal distribution). Specifically we gather a sample of values and compute the test statistic. If the probability of getting that test statistic or more extreme is smaller than alpha, then we reject the null. This probability value is known as the p-value.

If you lower the alpha value, then that will make it more likely you do not reject the null. Consider an example where alpha = 0.10 to start with. If you get a p-value of 0.02, then you would reject the null. The same would apply for alpha = 0.05; however, with alpha = 0.01, the p-value is no longer smaller than alpha. At this point we do not reject the null. Your textbook may use the phrasing "fail to reject the null".

Going in the opposite direction, increasing the alpha value will make it more likely to reject the null. Each time you adjust the alpha value, keep the p-value to some fixed number (between 0 and 1).

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3 years ago
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