Answer:
A Type II error is when the null hypothesis is failed to be rejected even when the alternative hypothesis is true.
In this case, it would represent that the new program really increases the pass rate, but the sample taken is not enough statistical evidence to prove it. Then, the null hypothesis is not rejected.
The consequence is that the new method would be discarded (or changed) eventhough it is a real improvement.
Step-by-step explanation:
For us to be able to answer this question the number of the items that Micah is buying.
....and any important information concerning this problem.
♫ - - - - - - - - - - - - - - - ~Hello There!~ - - - - - - - - - - - - - - - ♫
➷Yes.
Explain: This is because if you feel normal, you might have a little bit of willpower to do something, which will effect the statistical outcome. if you are confident, you will have a higher statistical outcome. (Example: A sport game. Feeling: Normal, Confident, Random) If you feel random, you could get a really bad score or a really high score, but you don't know because it is random.
✽
➶ Hope This Helps You!
➶ Good Luck (:
➶ Have A Great Day ^-^
DOGE
Answer: $0.51
Step-by-step explanation:
12/100 of $4.25 = $0.51
Amount payable plus sales tax for a 6- pack of soda will now be $4.25 + $0.51 = $4.76
Answer:
Subtract 11 from both sides
Step-by-step explanation:
