Answer:
0.25% probability that they are both defective
Step-by-step explanation:
For each computer chip, there are only two possible outcomes. Either they are defective, or they are not. The probability of a computer chip being defective is independent of other chips. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
In which 
is the number of different combinations of x objects from a set of n elements, given by the following formula.
And p is the probability of X happening.
5% of the computer chips it makes are defective.
This means that 
If an inspector chooses two computer chips randomly (meaning they are independent from each other), what is the probability that they are both defective?
This is P(X = 2) when n = 2. So
0.25% probability that they are both defective
I hope this helps you
1/3.3.3 divided 3s
3
Answer:
52
Step-by-step explanation:
Given that :
Mean (m) = 78
Standard deviation (s) = 13
Score that is 2 standard deviations below the mean
Using the relation :
Zscore = (x - m) / s
2 standard deviations below the mean means a Zscore of - 2
Hence,
-2 = (x - 78) / 13
Cross multiply
-2 * 13 = x - 78
-26 = x - 78
x = - 26 + 78
x = 52
Score which is 2 standard deviations below the mean is 52
Answer:
<h2>
<em><u>16h2</u></em><em><u> </u></em><em><u>-</u></em><em><u> </u></em><em><u>4h</u></em><em><u> </u></em><em><u>-</u></em><em><u> </u></em><em><u>42</u></em></h2>
Step-by-step explanation:
(4h + 6)(4h − 7)
= 4h(4h - 7) + 6(4h-7)
= 16h2 - 28h + 24h - 42
= <em><u>16h2 - 4h - 42 (Ans)</u></em>
Answer:
Step-by-step explanation:
Rate of change = (2-3.6)/(5-(-3)) = -1.6/8 = 0.2
