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A scientist attempts to perform a difficult experiment. She is successful in about 80% of her attempts. She attempts the experiment 6 times.
What is the chance that the scientist's first successful experiment is on the third attempt?
Based on its 1999 survey, Student Monitor reports that 20% of U.S. college students used the Internet for job hunting during the month preceding the survey.
Choose a number at random from the set of numbers from the set of numbers {1,2,3,4,5}. Now choose a number from the subset {1,...,X). Call this second number Y.
At the 0.05 level of significance, is there evidence that the proportion of incorrect reimbursements in the population was greater than 0.10? Discuss the underlying assumptions of the test used in (a)
In a few sentences, describe two designs that can address your research question. The designs must involve two different statistical analyses.
A department store, on average, has daily sales of $29,876.76. The standard deviation of sales is $1000.00. On Tuesday, the store sold $34,893.71 worth of goods.
Find a 99% confidence interval for the mean pH in rainfall and interpret the interval and what assumption must be made for the confidence interval to be valid?
The number of nonconforming springs in a batch,denoted as X, is a binomial random variable.
Test the hypothesis at the 0.05 level. What is the value of the test statistic calculated from the sample data? What is the critical value of the test statistic?
Now suppose that a finished product is randomly selected. What is the probability that it is defective?
I have two contingency tables. One has a chi-square value of 14.40 and the other is 27.86. Both have 6 degrees of freedom. Based on an alpha of .01 do you reject the null hypothesis?
Looking at sample distribution from part b, find out how big treatment effect is. Specifically, determine the distance between sample mean and original population mean?
What has to be the case for us to discuss one variable "causing" another - In correlation and regression we are examining relationships between two or more variables
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