Answer:
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Step-by-step explanation:
Answer:
0.0177 = 1.77% probability that the first defect is caused by the seventh component tested.
The expected number of components tested before a defective component is found is 50, with a variance of 0.0208.
Step-by-step explanation:
Assume that the probability of a defective computer component is 0.02. Components are randomly selected. Find the probability that the first defect is caused by the seventh component tested.
First six not defective, each with 0.98 probability.
7th defective, with 0.02 probability. So
0.0177 = 1.77% probability that the first defect is caused by the seventh component tested.
Find the expected number and variance of the number of components tested before a defective component is found.
Inverse binomial distribution, with 
Expected number before 1 defective(n = 1). So
Variance is:
The expected number of components tested before a defective component is found is 50, with a variance of 0.0208.
Their are 3 numbers less than 4 on a die with 6 sides so 3 is 50% of 6 so then it should land on a number less than 4 50% of the 600 rolls to get 300
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Answer:</u></h3><h3><u>
752 & 617</u></h3><h3 /><h3><u>
Explanation:</u></h3><h3><u>
So if Liz pays $35 each month just to use the phone, we could subtract 35 from the total bill that month to get the the total cost she spent on text messages.</u></h3><h3 /><h3><u>
March:$72.60-$35=$37.60</u></h3><h3><u>
April: $65.85-$35=$30.85</u></h3><h3 /><h3><u>
We can see that in March Liz spent $37.60 on texts in total and in April she spent $30.85 on texts in total. All we have to do is divide the amount of money she spent on texts( $37.60 & $30.85) by the cost of one text message($0.05) to get the amount of texts she sent that month.</u></h3><h3 /><h3><u>
March: $37.60/$0.05=752</u></h3><h3><u>
April: $30.85/$0.05=617</u></h3><h3 /><h3><u>
Therefore, she sent 752 texts in March and 617 texts in April.</u></h3><h3 /><h3><u>
~FrxziteTheLxoser~ I hoped I help you :)</u></h3>
<u>If i helped you please give me brainIIlest!</u>
