Answer:
Of the 16 possible experimental outcomes, 4 outcomes result in exactly 1 success.
The probability of a determined sample point with an outcome of one success is P=0.0992.
Step-by-step explanation:
We have a proportion of success (the selection of a manager who reads e-mail in the bathroom) of p=0.18.
The sample size is n=4.
We can model this as a binomial random variable.
The sample space is [0, 1, 2, 3, 4].
The possible outcomes for x=0 (that is no manager in the sample reads email in the bathroom) can be calculated as:
The same way we can calculate all the other possible outcomes:
The sum of this outcomes is 16 possible outcomes. Of the 16 possible experimental outcomes, 4 outcomes result in exactly 1 success.
The probability of an outcome with 1 success is the product of p (the one that reads email) times (1-p)^3 (the other 3 that do not read emails in the bathroom):
When you say empirical argument, it means facts gathered and concluded through a series of experimentation and reliable data gathered and not through theory or speculation.
Therefore, a sample size can greatly affect the validity of an empirical argument once proven inaccurate because what we want to see in an empirical argument is the clear-cut reality of what the researchers gathered through meticolous experimentation and not otherwise.
300ml of ethanol is not the same as 300L of ethanol and 2 grams of salt is not 2 kilos of salt. However, if it can be explained thoroughly that a sample size is just a fraction representation of the original, it is wise to create a control subject to compare the data and make it more reliable. Say for example, you wouild like to compare the sun and the earth, make sure to make the models realistically proportional in your miniature globe models.
Answer:
Get rid of catering with everything u are in debt by 145.56 so get rid of catering and u r good
Step-by-step explanation:
X = 3*15 = 45
Hope it helped.
