Lloyd is a production manager at a snow machine manufacturing plant. He tested 1175 crankshafts from a random sample, and found that the probability of a crankshaft being defective was 0.0043. In a production run of 9565 crankshafts, are likely to be defective. (Round to the nearest whole number of crankshafts)
To find the expected number of defective crankshafts in a production run of 9565, we can use the formula:
Expected number of defective crankshafts = probability of defective crankshaft * total number of crankshafts
Expected number of defective crankshafts = 0.0043 * 9565 = 41.0995
Rounding to the nearest whole number, we can expect about 41 crankshafts to be defective in a production run of 9565.