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A clinical study was performed to determine if a product was effective in alleviating side effects caused by a mode of treatment.
In the treated group (100 subjects) it was found that 10% had side effect A, 15% had side effect B and 65% had side effect C.
In the untreated group (1000 subjects) the same side effects occurred as follows: A15%, B 17% and C 55%.
Given these data can on compute a P value to determine if the differences are real with a 95% confidence. Please explain and if possible show how to compute a p value for each of the outcomes; A, B, and C.
Determine and interpret a 95% confidence interval for the mean amount of time Americans age 15 or older spend eating and drinking each day.
A fair coin is flipped 3 times. Compute the odds of flipping 3 tails.
Chlorine concentration in a municipal water supply is a uniformly distributed random variable that ranges between 0.74 ppm and 0.98 ppm.
In a water treatment plant, the turbidity level, and is suspected is linearly related to inches of accumulated rainfall in the month, x. The following information related to the waste water plant is available:
State the hypothesis test (with the formula of test statistic) could be used to see if the show-up ratio of people booked tickets is larger than 0.7.
The number of degrees of freedom corresponding to between treatments is:
How would you respond if someone told you that the correlation between education level and salary was 1.27?
A shock can cause the failure of component 1 alone with probability p, component 2 alone with probability q, both components with probability r, or have no effects with probability 1-p-q-r. Suppose no repairs are possible and the system fails when..
When carrying out a large sample test of H 0 : m =10 vs. H a : m ¹ 10 by using a p-value, we reject H 0 at level of significance α when the p-value is:
Categorize the events as dependent or independent. Events A and B where P (A) = 0.7, P (B) = 0.8, and P (A and B) = 0.56.
The scores of the GRE exam are transformed so they have a mean of 500 and standard deviation of 100. The scores are known to be normally distributed. What is the percentage of students that score below 750?
Without good measurement, statistical analysis is worthless." Do you believe it is an overgeneralization, or do you think it is accurate as written?
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