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1.A study is designed to investigate whether there is a difference in response to various treatments in patients with rheumatoid arthritis. The outcome is patient's self-reported effect of treatment. The data are shown below. Is there a significant difference in effect of treatment? Run the test at a 5% level of significance.SymptomsWorsenedNo EffectSymptoms ImprovedTotalTreatment 122141450Treatment 214152150Critical value:Computed statistic:Based on comparing the computed statistics to the critical value which of the following is (are) true?A. There is significant evidence, alpha =0.05, to show that there is a difference in the proportions of patients who show improvement between treatments 1 and 2B. There is not a significance evidence, alpha=0.05, to show that there is a difference in the proportions of patients who show improvement between treatments 1 and 2C. There is significant evidence, alpha=0.05 to show there is no difference in the proportions of patients who show improvement between treatments 1 and 2D. A and c
Standard deviation of 30 lb. Find the percentage of such weights between 190 lbs and 225 lbs. among 400 men aged 18 to 74, how many are expected to weigh between 190 lbs and 225 lb.
Crystal Ball requires the following steps:
Assume then money spent is uniformly distributed between these amounts. Determine the mean amount spent on insurance?
Biting an unpopped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in a popper. After popping, the unpopped kernels were counted. There were 86.
The fill volume of cans produced by a certain machine is normally distributed with mean 12 oz and standard deviation .03 oz. [4] a. What proportion of cans contain less than 12 oz?
Sample of 81 business students over a one-week period. Assume the population standard deviation is 1.8 hours. with a ,95 probability, the margin of error is approximately.
A "one-shot" device can be used only once; after use, the device (e.g. a nuclear weapon, space shuttle, automobile air bag) either is destroyed or must be rebuilt.
Based off the three requirements that must be met before an analysis of variance test (ANOVA) can be used: Samples must be randomly selected from the populations to be evaluated.
How do question content and wording, response strategy, and preliminary analysis planning affect question construction?
The specification that true average penetration be at most 50 mils. They will be used unless it can be demonstrated conclusively that the specification has not been met. What would you conclude?
Consider a Poisson distribution with a mean of two occurrences per time period.
At a = 0.05, what is the test value?
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