May payroll \(\displaystyle={31}\times\) (daily payroll)

\(\displaystyle={31}\times\frac{{\${341},{550}}}{{360}}=\)

$29,411.25

\(\displaystyle={31}\times\frac{{\${341},{550}}}{{360}}=\)

$29,411.25

Question

asked 2021-06-25

The analysis of shafts for a compressor is summarized by conformance to specifications:
roundnessconforms yes no surface finish yes 3455 conforms no 128

(a) If we know that a shaft conforms to roundness requirements, what is the probability that it conforms to surface finish requirements?

(b) If we know that a shaft does not conform to roundness requirements, what is the probability that it conforms to surface finish requirements?

(a) If we know that a shaft conforms to roundness requirements, what is the probability that it conforms to surface finish requirements?

(b) If we know that a shaft does not conform to roundness requirements, what is the probability that it conforms to surface finish requirements?

asked 2021-05-08

(a) If we know that a shaft conforms to roundness requirements, what is the probability that it conforms to surface finish requirements?

(b) If we know that a shaft does not conform to roundness requirements, what is the probability that it conforms to surface finish requirements?

asked 2020-12-07

If the annual percentage yield is 5%, what will $10,000 be worth 4 years form now?

asked 2020-12-29

Regarding analysis of residuals, decide in each case which assumption for regression inferences may be violated. a. A residual plot-that is, a plot of the residuals against the observed values of the predictor variable-shows curvature. b. A residual plot becomes wider with increasing values of the predictor variable. c. A normal probability plot of the residuals shows extreme curvature. d. A normal probability plot of the residuals shows outliers but is otherwise roughly linear.