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spayn [35]
2 years ago
8

n a survey of 331 customers, 66 say that service is poor. You select two customers without replacement to get more information o

n their satisfaction. What is the probability that both say service is poor?
Mathematics
1 answer:
yaroslaw [1]2 years ago
4 0

Answer:

3.93% probability that both say service is poor

Step-by-step explanation:

A probability is the number of desired outcomes divided by the number of total outcomes.

The customers are chosen without replacement, and the order in which they are chosen is not important. So we use the combinations formula to solve this question.

Combinations formula:

C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

What is the probability that both say service is poor?

Desired outcomes:

Two saying it is poor, from a set of 66. So

D = C_{66,2} = \frac{66!}{2!(66-2)!} = 2145

Total outcomes:

Two customers from a set of 331. So

T = C_{331,2} = \frac{331!}{2!(331-2)!} = 54615

Probability:

p = \frac{D}{T} = \frac{2145}{54615} = 0.0393

3.93% probability that both say service is poor

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Which of the following represents a polynomial in standard form?
Schach [20]

Answer

150x-2x=3

Step-by-step explanation:

4 0
3 years ago
Consider the population regression of log earnings [Yᵢ, where Yᵢ= ln(Earningsᵢ)] against two binary variables:
puteri [66]

Answer:

A) allows the population effect on log earnings of being married to depend on gender

Step-by-step explanation:

The regression equation of a dependent variable based on two or more independent variables is of the form:

Y=b_{0}+b_{1}X_{1} +b_{2}X_{2}+b_{3}X_{1}X_{2}

Here,

<em>Y</em> = dependent variable

X_{1} and X_{2} = independent variables

X_{1}X_{2} = interaction term

b_{1},\ b_{2}\ and \ b_{3} = regression coefficients.

If there is a significant interaction effect present then this implies that the effect of one independent variable (X_{1} orX_{2} ) on the dependent variable (<em>Y</em>) differs every time with different value of the other independent variable  (X_{1} orX_{2} ) .

The provided regression equation is:

Y_{i}=\beta _{0}+\beta _{1}D_{1i}+\beta_{2}D_{2i}+\beta _{3}D_{1i}D_{2i}+u_{i}

Y_{i} = dependent variable

D_{1i} and D_{2i} = independent variables

In this case the interaction term is defined as follows:

The effect of being married on log earnings is dependent on different values of the variables D_{2i}, i.e. the gender of the i^{th}person.

Thus, the correct option is (A).

3 0
3 years ago
Please help me I appreciate
alex41 [277]
Think your answer would be C or D.
 it's your choice to decide between those two now.
8 0
3 years ago
The monthly cost (in dollars) of a long-distance phone plan is a linear function of the total calling time (in minutes). The mon
kkurt [141]

The monthly cost will be $17.14

Step-by-step explanation:

Given that the monthly cost (in dollars) of a long-distance phone plan is a linear function of the total calling time (in minutes) then this can be presented in a table form as;

<u>Time in minutes (x)</u>        <u>Cost in dollars (y)</u>

50                                          $12.55

102                                         $ 17.23

Take the values as ordered pairs to represent coordinates for points that satisfy the linear function

(50,12.55)  and (102,17.23)

Finding the slope of the graph using these points

slope,m=Δy/Δx

m=Δy=17.23-12.55 =4.68

Δx=102-50=52

m=4.68/52 =0.09

Finding the equation of the linear function using m=0.09, and point (50,12.55)

m=Δy/Δx

0.09=y-12.55/x-50

0.09(x-50)=y-12.55

0.09x-4.5=y-12.55

0.09x-4.5+12.55=y

y=0.09x+8.05

So for 101 minutes , the cost will be;

y=0.09*101 +8.05

y=9.09+8.05 = $17.14

Learn More

Linear functions : brainly.com/question/11052356

Keyword : linear function

#LearnwithBrainly

5 0
3 years ago
Pls answer given from the graph for 50 points!
Norma-Jean [14]

Answer:

Step-by-step explanation:

a.  The older one is, the higher their salary, with a couple of rare exceptions.

b.  See attached figure

c.  Salary of L60,000/year.

d.  Age of 35 to earn L40,000/yr

5 0
2 years ago
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