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Please explain how to solve the following:
Let's assume we know that 1% of adults over the age of 60 have lung cancer, that 90% of adults who have lung cancer will test positive (called a true positive), and that 8% percent of adults that do NOT have lung cancer will also test positive (called a false positive). What is the probability of actually having lung cancer if an adult tests positive for lung cancer?
let x and s2 be the mean and variance of a random sample size n16 from the normal distribution nu gamma2a find d using
please give me a response to each discussion post telling me what you liked or disliked and provide any other
Describe the measures of central tendency. Under what condition(s) should each one be used
Why must the Census Bureau base these confidence intervals on t-models? The Census Bureau goes on to say, "These confidence intervals are wider.
Using the appropriate statistical procedure on the SPSS, test the between group means for a significant difference.
The number of customers as a local McDonalds' drive-through is known to have a Poisson Distribution with an average of 2 customers every 5 minutes.
Do the confidence interval limits contain 0, indicating that there is not a significant difference between the times of the first and second trials?
Assume that the scores are normally distributed.- What is the probability that a randomly selected student has a reading ACT score more than 30?
Greg deposits $10,000 in a bank account that pays 3% interest annually. How much will Greg have at the end of the four years?
Interpret this data using regression and interpret all the findings, R 2 , F, IV coefficient, and the intercept.
Establish at the 5% level of significance whether there is any significant difference in the average month-end credit card balances between Mastercard and Visa card clients.
Regression equations can be used to predict the value of a response variable for an individual. What is the connection between the accuracy of predictions.
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