<h2>
Answer:</h2>
The probability that a defective component came from shipment II is:
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Step-by-step explanation:</h2>
Let A denote the event that the defective component was from shipment I
Also, P(A)=2%=0.02
and B denote the event that the defective component was from shipment II.
i.e. P(B)=5%=0.05
Also, P(shipment I is chosen)=1/2=0.5
and P(shipment II is chosen)=1/2=0.5
The probability that a defective component came from shipment II is calculated by Baye's rule as follows:
Hence, the answer is:
2(18+11)
i think this is the expression you are looking for
Answer:
The answer is option (b), y=-5/2x+4
Step-by-step explanation:
The slope intercept form is a way of expressing the equation of a straight line; where there are two variables that vary in a linear form. The equation is always of the form; y=mx+c
Where;
- y and x represents the variables on the y and x axis respectively
- m is a real number representing the slope
- c is also a real number representing the y-co-ordinate, where the line intercepts the y-axis
Solving for y in 10x+4y=16
(4y)/4=(-10x)/4+(16/4)
The answer is y=-5/2x+4, option (b)
Your answer would be B and C
Answer:
We can claim with 95% confidence that the proportion of executives that prefer trucks is between 19.2% and 32.8%.
Step-by-step explanation:
We have a sample of executives, of size n=160, and the proportion that prefer trucks is 26%.
We have to calculate a 95% confidence interval for the proportion.
The sample proportion is p=0.26.
The standard error of the proportion is:
The critical z-value for a 95% confidence interval is z=1.96.
The margin of error (MOE) can be calculated as:
Then, the lower and upper bounds of the confidence interval are:
The 95% confidence interval for the population proportion is (0.192, 0.328).
We can claim with 95% confidence that the proportion of executives that prefer trucks is between 19.2% and 32.8%.
