Answer:
Step-by-step explanation:
Hello!
The objective of this experiment is to assess the service customers receive at the dealerships.
1) The population in this survey is:
The population is the customers of car dealerships.
2) The sample in this survey is:
The random sample taken was 20 selected car dealerships, where the customers were surveyed.
3) A parameter that may be targeted by the survey is:
To study the service the customers receive at the dealerships and if it has any influence in the customers owning or not a car of the company, one parameter to study is the population proportion of customers that own a car of the company vs the proportion of customers that are satisfied with the service received.
4) A statistic that may be used to summarize the outcome of the survey is:
The statistic to use to summarize the outcome of the survey is the sample proportion.
I hope it helps!
No, this would not be a linear function. Being linear means it creates a straight line, but this function has an x squared. Anytime x^2 is in a function, the graph is a u shape, called a parabola. A simple linear function is y=x :D
Answer:
mhmmm w/o calc here we go. thats a lot of typing tho so just trust me ok?
Step-by-step explanation:
2848222304???
my mom used to give me stuff like this as soon as i learned how to multiply #asianmomsbelike
Answer:
- <em>The probability that the second favorite character will die given that the first favorite character dies is</em><u> 0.53</u>
- <u>This kind of probability is called conditional probability</u>
Explanation:
Name the events and their probabiities:
- Event A: her favorite character will survive, so P (A) = 0.70
- Event B: her her second favorite character will die, so P(B) = 0.75
- Both characters will die ⇒ P (B and not A) = 0.16
You want to find P (B | not A).
That is the probability of the succes B (the second favorite character will die) given other event (not A or the first favorite character dies) is certain (it happens) and that is called conditional probability.
- P (not A) is the complement probability of A, so P (not A) = 1 - P(A) = 1 - 0.7 = 0.3
So, you have P(B), P(not A) and want to find P (B | not A)
The definition of conditional probability is:
- P (X | Y) = P (X and Y) / P (Y)
So, replacing with our terms, we get:
- P ( B | not A) = P (B and not A) / P (not A) = 0.16 / 0.3 ≈ 0.53
2x - 15
15 is decreased that is the key word here which indicates subtraction.
twice a number with given variable x is 2x
subtraction always goes behind so 2x - 15
