0.6 miles.
Since there is 0.8 miles to hike in total, she hiked 0.2 miles.
To solve, we just easily subtract the amount that Liz hiked from the amount that needs to be hiked.
She hiked 0.2 miles, which means we need to subtract 0.2 from 0.8.
8 - 2 = 6
The answer is 0.6 miles.
Answer:
49
Step-by-step explanation:
Answer:
email the picture to me email: 4804169663atstudents,ocps,net
Step-by-step explanation:
Answer:
13. 200
14. 8,300
15. 500
16. 2,500
Step-by-step explanation:
13. It is more than 4
14. It is more than 4
15. It is less than 4
16. It is more than 4
The probability of type II error will decrease if the level of significance of a hypothesis test is raised from 0.005 to 0.2.
<h3 /><h3>What is a type II error?</h3>
A type II error occurs when a false null hypothesis is not rejected or a true alternative hypothesis is mistakenly rejected.
It is denoted by 'β'. The power of the hypothesis is given by '1 - β'.
<h3>How the type II error is related to the significance level?</h3>
The relation between type II error and the significance level(α):
- The higher values of significance level make it easier to reject the null hypothesis. So, the probability of type II error decreases.
- The lower values of significance level make it fail to reject a false null hypothesis. So, the probability of type II error increases.
- Thus, if the significance level increases, the type II error decreases and vice-versa.
From this, it is known that when the significance level of the given hypothesis test is raised from 0.005 to 0.2, the probability of type II error will decrease.
Learn more about type II error of a hypothesis test here:
brainly.com/question/15221256
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