Suppose a widget machine has a 3% defective rate. This means that 3% of the widgets produced by the machine are defective on average. Suppose we randomly select widgets produced by this machine one by one. Let X equal the number widgets we select until we get our 1st defective widget. Let Y equal the number of widgets we select until we get our 2nd defective widget. a. What is the probability that the 1st defective widget occurs on the 1st trial? b. What is the variance of X? c. What is the probability that X > 13? d. What is the probability that X s 13? e. What is the probability that Y = 8? f. What is the probability that Y = 20? g. What is the smallest value k, such that the probability of finding a defective widget by trial k is at least .69? Add any comments below.

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**Widget Defect Probability and Statistics**

*Overview:*

Suppose a widget machine has a 3% defective rate. This means that 3% of the widgets produced by the machine are defective on average. Suppose we randomly select widgets produced by this machine one by one.

- Let \( X \) equal the number of widgets we select until we get our 1st defective widget.
- Let \( Y \) equal the number of widgets we select until we get our 2nd defective widget.

*Questions:*

a. What is the probability that the 1st defective widget occurs on the 1st trial?  
b. What is the variance of \( X \)?  
c. What is the probability that \( X > 13 \)?  
d. What is the probability that \( X \leq 13 \)?  
e. What is the probability that \( Y = 8 \)?  
f. What is the probability that \( Y = 20 \)?  
g. What is the smallest value \( k \), such that the probability of finding a defective widget by trial \( k \) is at least 0.69?

*Note:*

Add any comments below this section.

*Data and Work Area:*

Use the space provided for calculations and notes.

*Tools:*

Students may use statistical calculators or programs to find probabilities and variances.

Remember to apply relevant formulas for geometric and negative binomial distributions.
Transcribed Image Text:**Widget Defect Probability and Statistics** *Overview:* Suppose a widget machine has a 3% defective rate. This means that 3% of the widgets produced by the machine are defective on average. Suppose we randomly select widgets produced by this machine one by one. - Let \( X \) equal the number of widgets we select until we get our 1st defective widget. - Let \( Y \) equal the number of widgets we select until we get our 2nd defective widget. *Questions:* a. What is the probability that the 1st defective widget occurs on the 1st trial? b. What is the variance of \( X \)? c. What is the probability that \( X > 13 \)? d. What is the probability that \( X \leq 13 \)? e. What is the probability that \( Y = 8 \)? f. What is the probability that \( Y = 20 \)? g. What is the smallest value \( k \), such that the probability of finding a defective widget by trial \( k \) is at least 0.69? *Note:* Add any comments below this section. *Data and Work Area:* Use the space provided for calculations and notes. *Tools:* Students may use statistical calculators or programs to find probabilities and variances. Remember to apply relevant formulas for geometric and negative binomial distributions.
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