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Decide whether the experiment is a binomial, Poisson, or neither based on the information given. You observe the gender of the next 950 babies born at a local hospital. The random variable represents the number of girls. Historically, 49.8% of the babies born are girls.
Assume you always reject null hypothesis, regardless of any sample evidence. Determine the probabiliyt of Type II error? P(Type II error).
Standard deviation 2.8 inches. (a) If you choose one student at random, what is the probability that he is between 69 and 71 inches tall?
What shape curve do you get when your data set has the mean, median, and mode all with the same value? Could the value of the sample mean and the value of the population mean ever be the same?
Create by hand decision tree for this problem and then examine decision tree to recognize optimal policy. Use TreePlan to create and solve decision tree.
A random sample of 100 voters found that 44% were goint to vote for a certain candidate. Find the 99% limit for the population proportion of voters who will vote for that candidate.
A. What is the coefficient of determination? B. What is the correlation coefficient? C. What is the sampl mean of Y?
The average time a subscriber spends reading the Wall Street Journal is 49 minutes. Assume that the standard deviation is 16 minutes and the time are normally distributed .
The average number of hours of sleep per night that a college freshman gets is 6.50 with a standard deviation of 1.80 hours. If 35 college freshmen are randomly chosen find the probability that they average at least seven hours of sleep per night.
Cconducting in which you would analyze your results using a factorial ANOVA. Use the appropriate notation to describe the ANOVA you would conduct. Write your response in a Microsoft Word documen.
Standard deviation of the ages is 6 years. How large a sample should be taken so that the estimate is within 2 years of the population mean?
Why do the critical values from the Chi-square distribution get larger as the degrees of freedom get larger? Recall that this is opposite the pattern for the t-table.
Suppose that a random sample of 200 adults found that 110 thought there is too much violence on television. Is this enough evidence to reject the claim? What do we want to know?
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