Bytelearn - cat image with glassesAI tutor

Welcome to Bytelearn!

Let’s check out your problem:

A box contains 16 transistors, 4 of which are defective. If 4 are selected at random, find the probability of the statements below.
a. All are defective
b. None are defective
a. The probability is ◻.
(Type a fraction. Simplify your answer.)
b. The probability is ◻.
(Type a fraction. Simplify your answer.)

A box contains 1616 transistors, 44 of which are defective. If 44 are selected at random, find the probability of the statements below.\newlinea. All are defective\newlineb. None are defective\newlinea. The probability is \square .\newline(Type a fraction. Simplify your answer.)\newlineb. The probability is \square .\newline(Type a fraction. Simplify your answer.)

Full solution

Q. A box contains 1616 transistors, 44 of which are defective. If 44 are selected at random, find the probability of the statements below.\newlinea. All are defective\newlineb. None are defective\newlinea. The probability is \square .\newline(Type a fraction. Simplify your answer.)\newlineb. The probability is \square .\newline(Type a fraction. Simplify your answer.)
  1. Calculate probabilities: To find the probability of all 44 transistors being defective, we need to calculate the probability of choosing a defective transistor each time we select one, without replacement.
  2. First transistor defective: The probability of the first transistor being defective is 44 out of 1616, or 416\frac{4}{16}.
  3. Second transistor defective: After one defective transistor is chosen, there are 33 defective transistors left and 1515 transistors in total. So, the probability of the second transistor being defective is 315\frac{3}{15}.
  4. Third transistor defective: For the third transistor, there are now 22 defective transistors left out of 1414 total transistors. The probability is therefore 214\frac{2}{14}.
  5. Fourth transistor defective: Finally, for the fourth transistor, there is 11 defective transistor left out of 1313 total transistors. The probability is rac{1}{13}.
  6. Product of probabilities: The probability of all 44 transistors being defective is the product of the individual probabilities: (416)×(315)×(214)×(113)(\frac{4}{16}) \times (\frac{3}{15}) \times (\frac{2}{14}) \times (\frac{1}{13}).
  7. Calculate probabilities: Calculating this product gives us (416)×(315)×(214)×(113)=1560(\frac{4}{16}) \times (\frac{3}{15}) \times (\frac{2}{14}) \times (\frac{1}{13}) = \frac{1}{560}.
  8. First transistor non-defective: Now, to find the probability of none of the transistors being defective, we need to calculate the probability of choosing a non-defective transistor each time we select one, without replacement.
  9. Second transistor non-defective: The probability of the first transistor being non-defective is 1212 out of 1616, or 1216\frac{12}{16}, since there are 1212 non-defective transistors.
  10. Third transistor non-defective: After one non-defective transistor is chosen, there are 1111 non-defective transistors left and 1515 transistors in total. So, the probability of the second transistor being non-defective is 1115\frac{11}{15}.
  11. Fourth transistor non-defective: For the third transistor, there are now 1010 non-defective transistors left out of 1414 total transistors. The probability is therefore 1014.\frac{10}{14}.
  12. Product of probabilities: Finally, for the fourth transistor, there are 99 non-defective transistors left out of 1313 total transistors. The probability is 913\frac{9}{13}.
  13. Product of probabilities: Finally, for the fourth transistor, there are 99 non-defective transistors left out of 1313 total transistors. The probability is 913\frac{9}{13}.The probability of none of the transistors being defective is the product of the individual probabilities: (1216)×(1115)×(1014)×(913)\left(\frac{12}{16}\right) \times \left(\frac{11}{15}\right) \times \left(\frac{10}{14}\right) \times \left(\frac{9}{13}\right).
  14. Product of probabilities: Finally, for the fourth transistor, there are 99 non-defective transistors left out of 1313 total transistors. The probability is 913\frac{9}{13}.The probability of none of the transistors being defective is the product of the individual probabilities: (1216)×(1115)×(1014)×(913)(\frac{12}{16}) \times (\frac{11}{15}) \times (\frac{10}{14}) \times (\frac{9}{13}).Calculating this product gives us (1216)×(1115)×(1014)×(913)=33560(\frac{12}{16}) \times (\frac{11}{15}) \times (\frac{10}{14}) \times (\frac{9}{13}) = \frac{33}{560}.

More problems from Experimental probability