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Jared bets on the number 7 for each of 100 spins of a roulette wheel. Because P(7) = 1/38 he expects to win two or three times. What is the probability that Jared will actually win two or more times?
This was a quiz question I answered incorrectly, I want to understand how to get it if a similar question is on the mid term.
The correct answer was about 3 out of 4.
Can you please explain how this was determined.
What is the probability that the next 100 customers will spend an average of less than $56 on dinner?
Describe whether the data appear to be approximately normally distrusted by .. a. Comparing data characteristics to theoretical properties.
A teacher wants to know if students in her biology class did significantly better on an exam after instruction using authentic learning. The scores pre and post test are listed below. Based on an α = .05, what can the teacher conclude?
To determine monthly rental prices of apartment units in San Francisco Bay area, samples were constructed in the following ways. Identify the technique used to produce each sample. (cluster, convenience, random, stratified, systematic):
Critically discuss the assumptions, if any, regarding a Chi-square test? What are the assumptions to apply linear regression?
Find the probability between the given values for normal distribution.
What is the value of the test statistic and decision? Show step by step on how you obtained your final answer.
Suppose the world series is about to begin. Some people get together and each decide to predict different win-loss patterns for the seven possible games during the coming series.
Provide at least five real life examples where legislation and daily life choices have been driven by what could be defined basically as rooted in statistical correlations and regression analyses.
Construct a 95% confidence interval estimate for the population proportion of airline travelers who think that the airline fee that is most unreasonable is additional charges to redeem point/miles.
Scores of an aptitude test are normally distributed with a mean of 280 and a standard deviation of 30. Determine the percentage of samples of size 4 that have a mean score within 21 points of the population mean score of 280.
How many samples would be needed to create a 99 percent confidence interval that is within 0.02 of true proportion of premium grade fuel-quality failures.
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