If you have applied for two jobs a and b and the probability that you get an offer for the job a is 0.25 and the probability of being offered job b is 0.20, then the probability that you will be offered both jobs is 0.05.
Probability is a term used in mathematics that is concerned with the numerical illustration of the possibility of an event to take place. Its value is between 0 and 1 where 0 illustrates the impossibility of the event to take place while 1 illustrates the certainty of an event to take place.
As the probability of both the jobs are not dependent on each other, the probability that both jobs will be offered can be calculated by the formula;
P(A∩B) = P(A) × P(B)
Here, P(A∩B) represents the probability of both the events to take place together
As P(A) is equal to 0.25
P(B) is equal to 0.20
P(A∩B) = (0.25)(0.20)
P(A∩B) = 0.05
Therefore, 0.05 is the probability that both jobs will be offered.
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<span>(-2, y1), (6, 7) Slope = 1/2
slope = (y2-y1)/(x2-x1)
1/2 = (7 - y1) / (6 - -2)
1/2 = (7-y1) / 8
7-y1 = 8/2
7-y1 = 4
y1 = 7 - 4
y1 = 3
Answer: </span><span>(-2, 3), (6, 7) with Slope = 1/2
</span>proof:
slope = (y2-y1)/(x2-x1)
slope = (7 - 3) / (6 - -2)
slope = 4/8
slope = 1/2
Answer:
A population in which the characteristic of interest is a discrete or continuous quantitative variable with an approximately symmetric and meso-curt distribution is appropriate to use the mean.
A population in which the characteristic of interest is a discrete or continuous quantitative variable with a slightly symmetric distribution or with extreme values is appropriate to use the median.
A population in which the characteristic of interest is a qualitative variable is appropriate to use fashion.
It is not appropriate to use the mean if extreme values are present.
It is not appropriate to use the median if there are several different values with high frequency.
It is not appropriate to wear fashion if the distribution is very skewed asymmetrically.
A frequent problem arises when it is desired to establish the sampling frame, that is, a list of the individuals in the population.
Example: Establish the characteristics of households with children under two years. It was solved by sampling in two phases, identifying in a first phase the sampling frame.
Step-by-step explanation:
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15
200% of 15= 30
20% of 15= 3
30+3=33
