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"Identify a real-life example or application of either the binomial or Poisson distribution. Specify how the conditions for that distribution are met. Suggest reasonable values for n and p (binomial) or mu (poisson) for your example. Calculate the mean and standard deviation of the distribution for your example.
Your bakery produces loaves of bread with '1 pound' written on the label. Here are weights of randomly sampled loaves from today's production:
The conservative degrees of freedom for the t distribution are and The standard error, conservative degrees of freedom
Suppose that 30% of the population has black hair. In a randomly-selected group of six people, how probable is it that
Using the data file below, construct a histogram and a frequency polygon. Describe the shape of this distribution.
For a standard normal curve, find the z-score that separates the bottom 90% from the top 10%.
Based on the Correlation following are Multiple choices question. If the correlation coefficient among two variables is equal to zero, what can be said of the variables X and Y.
30% of households say they would feel secure if they had $50,000 in savings. you randomly select 8 households and ask them if they would feel secure if they had $50,000 in savings. find the probability that the number that say they would feel secu..
An advertising agency that serves a major radio station wants estimate the mean amount of time that the station's audience spends listening to the radio daily.
The president of the American Insurance Institute wants to compare the yearly costs of auto insurance offered by two leading companies.
A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug, three samples of rats are selected with n=10 in each sample.
Suppose that the incidence of MI is 0.005 per year among subjects who are actually take placebo and that aspirin prevents 20% of MIs
Explain the concepts involved in hypothesis testing, including what hypothesis testing is, and an explanation of the four types of scales used to measure data.
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