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From past experience, a server at a restaurant knows that her tips follow a right-skewed distribution with mean $6 and standard deviation $4.
What is the probability that the servers next 30 tips have a mean between $6 and $7? (Assume that these 30 customers represent a simple random sample).
If the server has 40 customers in one shift, what is the probability that her total tips are less than $250? (Assume that these 40 customers represent a simple random sample).
What can we say about the probability distribution of x? Is it approximately normal? What are the mean and standard deviation?
Consider the following stemplot. The mean of the data represented in this stemplot ?
If the sample standard deviation of the sample was $630 also the sample size was 50. Findout the 90% confidence interval of true mean.
Probability using normal distribution.Sampling distributions. Given a normal distribution with μ = 50 and standard deviation σ = 9, if a sample of n = 100 is selected.
If the decision in the hypothesis test of population correlation is to reject the null hypothesis, what can we conclude about the population correlation.
How many voters required to be sampled to evaluate the proportion within 0.05 with 95% confidence?
Write a brief summary of the distribution of life expectancy.
The men took an average of 20.5 hours per year of personal time with a standard deviation of 2.75 hours. What is the pooled estimate of the variance? Round to three decimal places.
Determine the margin of error that corresponds to the given values of n (times) and x (successes) and the degree of confidence: n=1400, x=420, 95%. Go 3 decimal places of precision.
Use a 0.01 significance level to test the claim that most people believe that the Loch Ness monster exists. How is the conclusion affected by the fact that Internet users who saw the question could decide whether to respond.
In a mobile phone shop on a Sunday morning, out of n = 77 customers x = 19 buy a mobile phone. What is the 95% confidence interval for the proportion of customers buying a mobile phone?
a) What statistical test should be used to analyze these data? b) Identify H0 and Ha for this study. c) Conduct the appropriate analysis d) Should H0 be rejected? What should the researcher conclude?
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