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Q1) Area code comprises of 3 digits. How many area codes are possible if:
(a) There are no restrictions
(b) The first digit cannot be a 1 or 0
(c) Find out the probability of choosing an area code at random that ends in the odd number if first digit cannot be 1 or 0?
Q2) To conduct the Experimental,4 subjects are randomly chosen from a group of 20 subjects. How many different groups of four subjects are possible?
From Group of 40 People, a jury of 12 people is selected. In how many various ways can a jury of 12 people be selected?
For the data shown below, prepare a x-bar chart. Note that the sample size is three. Record the values for the UCL, center line, and LCL. In addition, note any points that are out of control.
They were planted in four different locations, so we will consider the field as a second factor because different soil and moisture types can also have an effect on yield. The interaction plot below was obtained.
Suppose the sample variance for 30 parts turns out to be s 2 = .0005. Use α = .05 to test whether the population variance specification is being violated.
Create the table for frequency distribution that has 16 class intervals of width 1 inch. Utilize 61.5 inches as lower limit of first interval and 62.5 as upper limit.
When using past data, I have found that the proportion of items rejected by quality control personnel is about 3%. We normally make 5000 items per day. For a p chart, what are the upper and lower control limits?
For each problem, compute a Welch F-statistic and determine whether or not significant differences exist among the treatment conditions.
Find the area under the normal distribution curve to the right of z = -1.03.
Assuming the population is large, which sample size will give the smallest standard deviation to the statistic and select the numbers for the first five to be interviewed.
Compute the range and interquartile range
Compute an F-statistic for each linear construct and determine its significance. Also, state what questions each of these contrasts address.
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots.
A sample of 50 provided a sample mean of 14.15. The population standard deviation is 3.
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