Answer:
1.) It is biased
2.) No
3.) Yes
4.) No
Step-by-step explanation:
1.) It is biased as it is predisposition to one particular outcome over another.
2.) No, because biased in research leads to unrepresentative outcomes as the estimates is predisposed to the left or to the right of the true values.
3.) Yes. Since the selection of shift has an equal probability of being chosen.
4.) No. The probability that the sample accurately reflects the efficiency of the workers, the standard should be 95%.
Answer:
$5
Step-by-step explanation:
(5/6)*24=20
20-15=5
Second one because it don’t talk about minus when it talks about the three
In the situation, the number of bacterias are doubling for each sheet of paper cut, thus, the exponential equation for the puber is:

Initially, there was only one sheet of paper. Then, each sheet is cut in half, so we will have 2 sheets, then 4 sheets, then 8 sheets, and so on. That is, the number of sheets is continuously doubling, thus, the population after n cuts can be modeled by the following <u>exponential equation</u>:

A similar problem is given at brainly.com/question/15563161
Answer:

And we can find the individual probability like this:

And replacing we got:

Step-by-step explanation:
Assuming the following question: With the salary cap in the NFL, it is said that on any given Sunday any team could beat any other team. If we assume every week of the 16 week season a team has a 50% chance of winning, what is the probability that a team will have at least 1 win?
Previous concepts
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
Solution to the problem
Let X the random variable of interest, on this case we now that:
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
And we want this probability:

And using the complement rule we got:

And we can find the individual probability like this:

And replacing we got:
