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Find out Estimation of binomial distribution. Assume that the mean parameter θ for the RV L is unknown. To estimate it, a random sample of n = 10 light bulbs is selected, and the lifetime of each light bulb is measured. Let X denote the number of those 10 sampled light bulbs that burn longer than 1000 hours. Suppose that X = 6 is observed. Use the hints below to estimate θ.
What kind of RV is X?
How do the parameters for X depend on θ?
Suppose X = E (X) and solve for θ.
Find the probability of exactly 6 Mexican-Americans among 12 jurors.
Advertisers need to know which age groups are likely to see their ads. Purchasers of 120 copies of Cosmopolitan are shown by age group Perform the chi-square test for a uniform distribution at α = .01
Explain finding value of test statistic and P-value also understand the result. At the .01 significance level can we compute that the mean fare has increased.
The average number of days absent per student per year at West Valley School is 17 days with a standard deviation of 4 days. How many standard deviations from the mean is 6 absent days?
Using an alpha level of 0.05, please use SPSS to perform a one-way ANOVA and then determine whether the data below provide evidence for Theory A, Theory B, or Theory C. In other words, is one theory stronger than the others?
Find the standard error of the difference in sample means,
At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
Then use ogive to estimate median and first and third quartiles. Also utilize it to reply following question: What percent of 60 mutual fund loads are less than 75.
Use alpha level. 05 to compute and interpret Pearson's r and to test whether it is important (using all your steps for hypothesis test).
Explain your answer to someone who is familiar with the t test for a single sample, but not with the t test for independent means.
What is your conclusion? Are the two variables independent?
Find the critical F value for the Following,
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