1) Of those women who are diagnosed to have early-stage breast cancer, 30% eventually die of the disease. Suppose a screening program for the early detection of breast cancer was started in order to increase the survival rate of those diagnosed to have the disease. A random sample of 300 women was selected from among those who were screened by the program and who were diagnosed to have the disease. If 230 women in the sample did survive the disease, can you conclude that the screening program was effective? Test using =0.05 level of significance. (Round your answer at the nearest 4^th decimal place, if necessary.) what is the lower boundary (between 0 and 1) of the confidence interval?

2) It is known that roughly 66% of all human beings have a dominant right foot or eye. Is there also right-sided dominance in kissing behavior? An article reported that in a random sample of 124 kissing couples, both people in 73 of the couples tended to lean more to the right than to the left. At =0.09 level, does the result of the experiment suggest that the 66% figure is implausible for kissing behavior?What is the p-value?

3)The new tax structure is supposed to help small businesses survive. It is known that presently 22% of all small businesses fail in their first year. In a random sample of 400 new small businesses followed for one year after opening, 78 were recorded as failed. Test, at a confidence level of 93%, if the number confirms the claim that the new tax laws help small businesses survive. (Round your answer at the nearest 4^th decimal place, if necessary.) what is the upper boundary (between 0 and 1) of the confidence interval?

4)A manufacturer of automatic washers provides a particular model in one of three colorswhite, black, and stainless steel. Of the first 690 washers sold, it is noted that 241 were white. Can you conclude, with a confidence level of 92%, that about than one-third of all customers prefer white? (Round your answer at the nearest 4^th decimal place, if necessary.) What is the p-value?

5)

A company wants to implement a flextime schedule so that workers can schedule their own work hours, but it needs a mean of working hours no less than 7.5 hours per day per assembly worker to operate effectively. A random sample of 61 workers was asked to submit a tentative flextime schedule. If the mean number of hours per day for Monday was 7.32 hours and the standard deviation was 0.75 hours, do the data provide sufficient evidence to indicate that the mean number of hours worked per day on Mondays, for all of the company's assemblers, will be less than the expected at =0.04 level? (Round your answer at the nearest 4^th decimal place, if necessary.)

What are the hypotheses of the test?