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Q1) Random sample of 16 pharmacy customers illustrated the waiting times below (in minutes).
21 22 22 17 21 17 23 20
20 24 9 22 16 21 22 21
Determine a 90 percent confidence interval for μ, suppose that sample is from a normal population.
Q2) Let the following transportation Problem
1
2
supply
A
5
6
100
B
4
200
C
3
150
D
9
7
50
250
Write complete linear programming model (All three parts) to find out the number of items to be transported from models A, B, C, and D to nodes 1 and 2 at minimum cost. You don't have to solve problem.
Describe the data appear the strength of the relationship among variables is sufficient to warrant using linear regression forecasting.
What additional strategies (up to 3) you would propose that may increase validity of the findings.
Explain how one extreme score influences mean and standard deviation.
To test whether the significant difference between two sample variance using F-tests.
At the .05 significance level, can we conclude that the guideline is still reasonable?
Draw a normal probability plot for residuals using excel or Minitab. Do the residuals seem normally distributed? If yes, why?
A loaf of bread is normally distributed with a mean of 22 oz and a standard deviation of 0.5 oz. What is the probability that a loaf is more than 22.25 oz?
The scores of college-bound senior men on the math part of the SAT followed a normal distribution with mean 527 and standard deviation 116.
From the given probability distribution finite the mean and standard deviation.
In a group of seven adult friends, what is the probability that: a) no one has done a one-time fling?
What is the chance that stock will fall by more than 15% next month? What extra assumption are you making when replying this question?
Write introduction to STATISTICAL PROCESS CONTROL and Explain the use of SPC tools used at D2D
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