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You are picking a bouquet of 20 flowers for your mother at random from a garden with 25 coneflowers, 35 daisies and 42 lilies. Your mother likes daisies the best and you want to have 15 of those in your bouquet.
a) Define D in terms of the story. Name its distribution and parameters.
b) What is the probability that you pick exactly 15 daisies in your bouquet?
c) What is the probability that all of the flowers in your bouquet are daisies?
d) What is the expected value and variance of D?
e) What is the expected number of coneflowers in your bouquet?
f) What is the expected number of lilies in your bouquet?
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data.
In a sample of n = 36 selected from a population, where X = 96 and S = 12, what is the value of tSTAT if you are testing the null hypothesis H0: µ = 100.
Suppose the random variable x is best described by a normal distribution with µ = 24 and σ = 2.7. Find the z-score that corresponds to each of the following x values.
An office manager wishes to estimate the mean time required to handle customer complaints. A sample of 38 complaints shows a mean time of 28.7 minutes with a standard deviation of 12 minutes.
If battery posts are larger than 3.5 centimeters or less than 3.30 centimeters, they will be scrapped. Determine the proportion scrapped?
Please summarrize, find the most important formulas, and explain a solve problem for each of this statictics topics: A. Simple regression and correlation B. Multiple regression and correlation
in hamilton countyohio the mean number of days needed to sell a house in 86 days. data for the sale of 40 houses in a
What is the level of measurement for these items related to the newspaper business?
Prepare a 95% confidence interval for the average grocery bill. Would a 99% confidence interval be narrower or wider than the 95% confidence interval?
The manager is concerned that sales are slipping, after taking into account the average value of sales for four consecutive Saturdays being $4800.
A sample of 60 night-shift workers showed that the mean number of units produced was 351. At the .05 significance level, is the number of units produced on the night shift larger?
At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
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