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A large clinical trial of the effect of diet on breast cancer assigned women at random to either a normal diet or a low-fat diet. To check that the random assignment did produce comparable groups, we can compare the two groups at the start of the study. When asked if there is a family history of breast cancer: 3396 of the 19,541 women in the low-fat group and 4929 of the 29,294 women in the control group said "Yes". If the random assignemnt worked well, there should not be a significant difference in the proportions with a family history of breast cancer.
a) How significant is the observed difference? Carry out an appropriate test to help answer this question and show all of your work.
b) Describe a Type I and Type II error in this setting. Which is more serious? Please explain your answer.
The Ministry of Environment, Science and Technology has one of its administrative centers located out of town and the majority of employees drive to work. As part of the Ministry’s ‘green’ policy
A recent article in a computer magazine suggested that the mean time to fully learn a new software program is 40 hours. A sample of 100 first-time users of a new statistics program revealed the mean time to learn it was 39 hours with the standard dev..
a math test has a mean of 49 and standard deviation of 10.0. find the corresponding z scores fori. a test score of
For this assignment employ the data below which was taken from the previous online class. Find out if the data is qualitative or quantitative, continuous or discrete, and determine the level of measurement.
1. a random sample is collected of size n from a population with standard deviation and with the data collected a 95
a group of researchers studied the effect of global environmental change on grazing lands. their article reported the
A researcher predicts that the percentage of people who do no watch TV is higher now than before the advent of the Internet. Let the p1 denote the population proportion of American adults in 1975 who reported watching no TV. Let p2 denote the corresp..
Reynolds Electronics accepts a lot from a particular supplier if the defective components in the lot do not exceed 1%. Suppose a random sample of five items from a recent shipment is tested.
Give 0.95 probability bounds on the value of the sample mean that would be obtained. Also give 0.90 probability bounds on the value of the sample mean.
Assuming that the life of bulbs follow Normal distribution, what is the probability that a randomly selected bulb will: Fail within 1200 hours? Survive between 1350 and 1650 hours?
Estimate a test statistic for null hypothesis H0: μ = 30 against two-sided alternative hypothesis H1 : μ ≠ 30, and by plotting this on its reference distribution.
He (given that) the true proportion of perfect condition items is only 80% what is the probability that the lot will not be shipped?
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