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KIM [24]
3 years ago
12

Help pleaseeeeeeeeeeeee

Mathematics
1 answer:
Andru [333]3 years ago
8 0
Answer:
5. 1:3
6. Joe
8. 2/3 = 8/12
9. 56/7 = 8/1
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Answer:

Option B - False

Step-by-step explanation:

Critical value is a point beyond which we normally reject the null hypothesis. Whereas, P-value is defined as the probability to the right of respective statistic which could either be Z, T or chi. Now, the benefit of using p-value is that it calculates a probability estimate which we will be able to test at any level of significance by comparing the probability directly with the significance level.

For example, let's assume that the Z-value for a particular experiment is 1.67, which will be greater than the critical value at 5% which will be 1.64. Thus, if we want to check for a different significance level of 1%, we will need to calculate a new critical value.

Whereas, if we calculate the p-value for say 1.67, it will give a value of about 0.047. This p-value can be used to reject the hypothesis at 5% significance level since 0.047 < 0.05. But with a significance level of 1%, the hypothesis can be accepted since 0.047 > 0.01.

Thus, it's clear critical values are different from P-values and they can't be used interchangeably.

8 0
3 years ago
How many number of terms -4 has
alex41 [277]

Answer:

it only has 1 term

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I am a parent trying find the distributive property of 5 X 198 for my daughter. Can you help me save the day?
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