The probabilities that correctly complete this probability distribution for 50 packages of nuts will be 0.24, 0.2, 0.12, 0.28, and 0.16.
<h3>How to calculate the probability?</h3>
From the information given, we have to find the probability for each fruit. This will be:
Almond = 12/50 = 0.24
Cashew = 10/50 = 0.2
Mixed = 6/50 = 0.12
Peanut = 14/50 = 0.28
Pecan = 8/50 = 0.16
Therefore, the probabilities that correctly complete this probability distribution for 50 packages of nuts will be 0.24, 0.2, 0.12, 0.28, and 0.16.
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Answer:
<em>84%</em><em> of the wage earners earn less than $14,000 each. </em>
Step-by-step explanation:
The Empirical Rule (68-95-99.7%)-
According to this around 95% of the data will fall within two standard deviations of the mean.
As the bell curve is symmetrical, so the remaining 5% will be divided into 2 equal parts. So 2.5% will be above 2 standard deviation and 2.5% will be below 2 standard deviation.
As it is given that, the top 2.5% of the wage earners earn $18,000 or more, so 18,000 is 2 standard deviation away from the mean 10,000.
i.e 

We know that,

where,
X = raw score = 14,000
μ = 10,000
σ = 4,000
Putting the values,

Now, calculating the value from the z score table,

As the probability at
is the area below that, so 84% of the wage earners earn less than $14,000 each.
It's basically asking 75% of what number is 63 so x * 75% = 63
75% in decimal form is .75
divide 63 by .75 which is 84.
so 75% of 84 would be 63.
I think it is 0
6= 1-2(0)+5
6=1-0+5
6=1+5
6=6
You should check just in case.