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Q1) Automotive Company gets a certain kind of gaskets from supplier in lots of 100 items each. From each such lot, Quality Control department of automotive company randomly selects 20 gaskets for testing. If 2 or more of the tested gaskets fails, whole lot is rejected and is sent back to supplier.
Supplier knows that single gasket may fail with probability of 0.05. Determine the probability that randomly selected lot would get rejected?
Q2) Determine the following areas under standard Normal distribution curve:
a) Area to the left of (-1.12)
b) Area to the right of 2.1
c) Area between (-1.5) and 2.4
d) Area to the left of 2.3
e) Area to the right of 1.33
Let X 1 , X 2 , X 3 , X 4 be a random sample from a Poisson distribution with parameter λ and let Y = X 1 + X 2 + X 3 + X 4 . You decide to test λ = 1.60 versus λ
The sample proportion of large gloves for each location is and . (Round your answers to 4 decimal places.)
Compute the 95% confidence interval around the mean of each of the three groups and plot the confidence interval in the space provided above.
A processor of carrots cuts green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test weight of the boxes, a few were checked.
Utilizing your charts stated whether the filling operation has been in control for every of the 18 operating hours this day.
If the decision in the hypothesis test of population correlation is to reject the null hypothesis, what can we conclude about the population correlation.
Iindicate all samples are approximately Normal with no outliers. Is the ANOVA appropriate?
Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
Elucidate the null and alternative hypothesis for the difference among the two means. In testing the difference between the means of two.
Find out the marginal probability density function for the provided value. Assume that two random variables, X and Y, have bivariate pdf given by:
What is Peter's median grade point at graduation? What is the shape of the grade point distribution?
Can we compute the mean length of stay of workers at the company differs from the mean length of stay at that dangerous industry.
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