finding a probability based on a binomial distribution
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1. What is the value of the binomial coefficient: combination 100 and zero?
2. If 60 percent of US households live with one or more pets and 4 of these US households are selected at random without replacement, what is the probability that the number of households has one or more pets, at most three?
3. A quantitative data set has been grouped into a grouped data table with equal-width classes of width 8 . What is the lower and upper limits If the average of the first class is 10?
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This solution contains a detailed explanation of finding a probability based on a binomial distribution.
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1. What is the value of the binomial coefficient: combination 100 and zero?
The value of the binomial coefficient: combination 100 and zero is 1, as there is only one such combination: taking nothing.
2. If 60 percent of US households live with one or more pets and 4 of these US ...
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- BSc , Wuhan Univ. China
- MA, Shandong Univ.
Recent Feedback
- "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
- "excellent work"
- "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
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- "Thank you very much for your valuable time and assistance!"
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