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It is believed that the median annual starting salary of a freshman engineering graduate is $40,000. If we record the starting salary of a random sample of 100 recent engineering graduates, then
a. Find the sampling distribution (theta) of the proportion of fresh engineering graduates who started with an annual salary of less than $40,000.
b. Find the approximate probability that at least 60% of the engineering graduates started with an annual salary of more than $40,000.
question below is the sample of baby deliveries in an 8 hour period at a small hospital13 14 6 12 13 8 6 14 4 78 7 5 9
the lengths of human pregnancies are normally distributed with a mean of 268 days and a standard deviation of 15 days.
a company fills bags with fertilizer for retail sale. the weights of the bags of fertilizer have a normal distribution
It was revealed that 120 people had only 1 admission, 81 had 2 admissions, 48 had 3 admissions, 18 had 4 admissions, 18 had 5 admissions, and 15 had 6 admissions or more admissions. Does the data support the mayor's claim?
Suppose that 245 such companies are selected independently and at random. What is the probability that 191 companies in the sample electronically monitor their employees?
Would you agree with this claim if the random sample showed an average of 23,500 km and a standard deviation of 3,900 km? Use 0.01 level of significance.
The analysis needs to be re-run adding the error into the regression sum of squares.
Why is the F distribution important? How do you determine if a significant difference exists among the groups in ANOVA? How do you determine differences between the groups in ANOVA?
The lifetimes of light bulbs of a particular type are normally distributed with a mean of 370 hours and a standard deviation of 5 hours. What percentage of bulbs has lifetimes that lie within 1 standard deviation of the mean on either side?
an insulated 8-m3 rigid tank contains air at 600 kpa and 400 k. a valve connected to the tank is now opened and air is
probability values based on normal distribution.the old exit exam followed a normal distribution with micro 500 and
What is the probability that the mean breaking strength of the 3 untreated specimens is at least 25 pounds greater than the mean strength of the 3 treated specimens?
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