An aerospace company in Southern California procures specialized fastener bolts from Japan. The company deploys a high resolution imaging test to detect for fine cracks in the bolts. The imaging test can identify and reject bolts with fine cracks with 90% success rate. However, it also has the potential to reject good bolts at the rate of 6%. The probability of defective bolts in a consignment is 0.1. What is the probability overall (expressed as a number between 0 and 1) that the imaging test reports fine cracks in a part? An aerospace company in Southern California procures specialized fastener bolts from Japan. The company deploys a high resolution imaging test to detect for fine cracks in the bolts. The imaging test can identify and reject bolts with fine cracks with 90% success rate. However, it also has the potential to reject good bolts at the rate of 6%. The probability of defective bolts in a consignment is 0.1. What is the probability (expressed as a number between 0 and 1) that a bolt does not have fine cracks if the test is not able to detect any? Satisfaction Scores: 7.80 9.50 9.20 9.30 8.90 9.80 8.60 9.10 7.80 7.80 7.00 9.70 8.20 8.30 8.70 9.70 9.90 8.40 9.90 7.00 Consider the data above that shows customer satisfaction survey scores data below for a consumer product. For an alpha or significance of 0.1, and null hypothesis that the sample average scores = 8.5, what is the t-stat? An aerospace company in Southern California procures specialized fastener bolts from Japan. The company deploys a high resolution imaging test to detect for fine cracks in the bolts. The imaging test can identify and reject bolts with fine cracks with 90% success rate. However, it also has the potential to reject good bolts at the rate of 6%. The probability of defective bolts in a consignment is 0.1. What is the probability (expressed as a number between 0 and 1) that a bolt indeed has fine cracks if the imaging test flags for fine cracks? Satisfaction Scores: 7.80 9.50 9.20 9.30 8.90 9.80 8.60 9.10 7.80 7.80 7.00 9.70 8.20 8.30 8.70 9.70 9.90 8.40 9.90 7.00 Consider the data above that shows customer satisfaction survey scores data below for a consumer product. For an alpha or significance of 0.05, the Null Hypothesis is that Sample Average