Answer:
Answer attached
Step-by-step explanation:
Answer:
False
Step-by-step explanation:
Correlation is not causation.
It may mean that eating popsicles and buying sunglasses have a common cause: sunny days.
Troll 2: Troll 1 is lying.
Troll 3: Either we are all knaves or at least one of us is a knight.
Which troll is which?
Troll 1: Knight
Troll 2: Knave
Troll 3: Knight
The following information should be considered:
Learn more: brainly.com/question/994316?referrer=searchResults
Answer:
Troll 1: Knight
Troll 2: Knave
Troll 3: Knight
Step-by-step explanation:
Troll 3's statement must be true because if they can only be knights or knaves, unless all of them are knaves, at least one must be a knight. Thus, Troll 3 is a knight.
If Troll 2 is a knight, then Troll 1 is knave, but if that were the case Troll 1's statement would be true, and since knaves do not tell the truth, this assumption is incorrect.
If Troll 2 is a knave, Troll 1 is a knight and his statement can be disregarded since it is conditioned to the possibility of him being a knave.
Therefore, Trolls 1 and 3 are knights and Troll 2 is a knave.
Answer:
22.2653 or 22.27
Step-by-step explanation:
hope this helps
Answer: 22.265
Step-by-step explanation: 4.201x5.3 = 22.265
Answer:
4
Step-by-step explanation:
(this is a probability question)
"715" are the different selections she can make.
Given:
Number of different begs,
Total number of varieties,
So,
Total number of different selection = ¹³C₄
=
=
=
=
=
Thus the above answer is correct.
Learn more:
Answer:
Step-by-step explanation:
13!/4(13-4)!
13!/4(9)!
Continue simplifying.
The formula for combinations n!/r!(n-r)! pay attention to class next time
Answer:
The sample size needed is n(if a decimal number, round up to the next integer), considering the estimate of the proportion (if no previous estimate use 0.5) and M is the desired margin of error.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of , we have the following confidence interval of proportions.
In which
z is the z-score that has a p-value of .
The margin of error is of:
95% confidence level
So , z is the value of Z that has a p-value of , so .
Needed sample size:
The needed sample size is n. We have that:
The sample size needed is n(if a decimal number, round up to the next integer), considering the estimate of the proportion (if no previous estimate use 0.5) and M is the desired margin of error.