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A manufacturer of a chemical used in glue, attempting to control the amount of a hazardous chemical its workers are exposed to, has given instructions to halt production if the mean amount in the air exceeds 3.0 ppm. It is believed that the standard deviation is 0.5. ppm from a previous study. A random sample of 50 air specimens produced the sample mean=3.1 ppm. If the a level of shutting down production is set at 0.05, given this air sample should production be halted?
a.) No
b.) Yes
c.) Insufficient information to make a decision
Four young children were monitored closely over a period of several weeks to measure how much they watched violent television programs and their amount of violent behavior toward their playmates.
Women's heights are normally distributed with mean 63.6 and standard deviation of 2.5 in. A social organization for tall people has a requirement that women must be at least 70 in tall.
Test whether the weight reducers on average will lose less than 10 pounds using P-value approach.
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches.
Formulate this statement as a multiple regression model (form only, without parameter estimation).
What is the probability that: The amount requested is $80,000 or more?
Interpret coefficient on log (salesm). If salesm were to be increased by 20%, what would be estimated change in mktgp? Would this effect be substantive?
The best estimator or appreciative of the population proportion is 0.45. How large must the sample be?
Suppose event A and event B are mutually exclusive with the P(A)=12 and P(B)=1/3.Which of the following statements best describes these two events?
Use this sample information to develop a 99% confidence interval for the population proportion of women who wear flats to work.
Use a calculator with mean and standard deviation keys to verify that the sample mean is x = 5.63 pups with the sample standard deviation s = 1.78 pups. (b) Find a 75% confidence interval for the population.
Did you find any outliers on the dependent variables that were due to errors of coding? If so, what and why? How would you correct an error of coding?
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