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You are assigned to be part of a team of three analysts of a global management consulting company where of the entire work force of analysts. 55% have had no experience in telecommunications, 32 have had limited experience (less than 5 years) and the rest have had extensive experience ( 5 years or more).
You and two other analysts were chosen to constitute a communications team. What is the probability that of your other two team mates:
1. Neither has any telecommunications experience.
2. Both have some telecomumications experience
3. At least one has extensive communications experience
To determine whether there exists mean difference among the groups:
Research question: Are the mean crash damages the same for these three vehicles?
Suppose x follows a distribution with density function: f(x)=C*abs(x-2), 0 =
Suppose 100 randomly selected customers were asked to rate a particular service they recently had on a scale of 0 to 10. The sample mean rating was found to be 7.3.
If the population standard deviation is σ = 10, can you conclude that the treatment has a significant effect? Use a two-tailed with α = .05.
A survey found that 85% of women in a given city enjoy shopping online. Suppose you randomly selected 6 women from the city and ask them whether or not they enjoy shopping online. Find the probability that exactly 4 say they enjoy shopping online.
Compute the coefficient of determination, r 2 , and interpret its meaning.
Calculate a value of lambda using the data from last week concerning the news networks and the reporting practices. Compare your resulting lambda to the resulting chi-square from last week.
What is the probability of randomly selecting a student with a treadmill time greater than 25 minutes? In symbols, p(X>25)= ? What is the probability of randomly selecting a student with a time greater than 30 minutes? In symbols, p(x>30) ?
How many cans of paint should the sample contain if the researcher wants to be 98% certain of being within one percentage point of the true proportion of this chemical?
Find a 99% confidence interval for the population mean number of weekly miles.
The researchers planned to use simple linear regression to see if the age at which a baby was first able to crawl could be predicted from the average outdoor temperature six months after each baby's birthdate.
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