1) 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 72 of the couples tended to lean more to the right than to the left. At =0.08 level, does the result of the experiment suggest that the 66% figure is implausible for kissing behavior?As a proportion, what is the upper boundary of the confidence interval? (Enter "9999", if there should not be a boundary.)

2) An article presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line.

259	220	480	249	270	547
740	253	238	262	290	218

The population distribution of repair time is at least approximately normal. Is there compelling evidence, at =0.1 level, for concluding that true average repair time is different from 250 mins?What is the conclusion of this study?

3) 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?

4) 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?

5) 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?

6)

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?