The unit rate for the problem is 16
Answer:
decreases.
Step-by-step explanation:
Type II error is one in which we fail to reject the null hypothesis that is actually false. Null hypothesis is a statement that is to be tested against the alternative hypothesis and then decision is taken whether to accept or reject the null hypothesis. The power of Type II error is 1 - 
. As the power increases the probability of Type II error decreases.
B. neither is a solution because 24-7 and 24-3 don’t come out to 20.
Answer:
Answer is given below.
Step-by-step explanation:
Machine Breakdown Probability Cumulative-Distribution-Rang Rang
Per week
0 0.10 0.10 0-9
1 0.10 0.20 10-19
2 0.20 0.40 20-39
3 0.25 0.55 40-64
4 0.30 0.95 65-94
5 0.5 1.0 95-99
Sure. From those choices, the only one that makes sense is that he
didn't perform enough trials. Technically, you can't expect the experimental
probability to match the theoretical probability until you've rolled it an infinite
number of times.
I have a hunch that even for only 60 trials, such a great discrepancy between
theory and experiment is beginning to suggest that the cubie is loaded. But
you really can't say. You just have to keep trying and watch how the numbers
add up.
