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The following table was presented in an article summarizing a study to compare a new drug to a standard drug and to a placebo
Which, if any baseline characteristics are significantly different (at the 0.05 level of significance) between treatment groups
A) Disease stage
B) Annual income
C) Percentage with insurance
D) Age
E) A& C
F) B& D
Characteristic New drug Standard drug Placebo P
Age, Years 45.2(4.8) 44.9(5.1) 42.8 (4.3) 0.5746
% Female 51% 55% 57% 0.1635
Annual income, $0005 59.5(14.3) 63.8(16.9) 58.2(13.6) 0.4635
% with insurance 87% 65% 82% 0.0352
Disease Stage
Stage 1 35% 18% 33%
Stage 11 42% 37% 47%
Stage 111 23% 51% 20%
Bimodal distribution with a very large standard deviation for the population. For most teachers such a distribution makes the matter of how to teach very tricky.
These data represent the ages of drivers and the number of accidents reported for each age group in Pennsylvania for a selected year. Find the equation of the regression line for the given data.
Set up null hypothesis for associated F test.
Find the 95% confidence interval of the mean number of ER patients treated each day in the hospital if the standard deviation is 8 instead of 4.
Estimate u with an approximate 95% confidence interval. Estimate p, the proportion of measurements in the population that are greater than 30, with an approximate 95% confidence interval.
The profit from each type of dealership, given the availability of gas is shown in the following payoff tableCompact Cars $300000 $150000. Construct a decision tree for the situation described above and indicate the best decision.
In the real world, given null hypothesis is false; but the collected data lead to the null hypothesis being accepted. That is, the data lead to a failure to reject null hypothesis.
Find out the coefficient of determination, r 2 , and interpret its meaning.
Suppose the federal government proposes to give a substantial tax break to automakers producing midsize cars that get a mean mileage exceeding 31 mpg.
Provide an example of how an ANOVA could expand on the results of a t-test. In other words, think of an example (related to the field of psychology) in which you could use a t-test, and then note how the comparison could change if an ANOVA was use..
A large tank of fish from a hatchery is being delivered to a lake. The hatchery claims that the mean length of fish in the tank is 15 inches, and the standard deviation is 2 inches. A random sample of 36 fish is taken from the tank.
Conduct a hypothesis test to test that the population mean for population A is no greater than the population mean for B. Use the 0.08 significance level.
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