Alan wants to estimate the proportion of adults who walk to work. In a survey of 10 adults, he finds 1 who walk to work. Obtain and interpret a 95% confidence interval for the proportion of adults who walk to work.

You're considering going to graduate school, and you would like to know how many people would recommend it. You talk to 28 people, and 6 recommend it. Construct a 96% confidence interval for p, the proportion of people that recommend you go to graduate school. What is the lower bound of this interval?

Of 300 randomly selected medical students, 30 said that they planned to work in a rural community.  Find 90% confidence interval for the true proportion of all medical students who plan to work in a rural community. The answers below represent approximate values.

Students at a certain college were asked if they have a car. After surveying 601 students, it was found that 40.3% of them have a car. The margin of error was 4% with a 95% confidence level. What does this margin of error tell you about the percentage of students at that college who have a car? We can be 95% confident that somewhere between % and % of the students at that college have a car.

I need part d

You're considering going to graduate school, and you would like to know how many people would recommend it. You talk to 30 people, and 7 recommend it. Construct a 96% confidence interval for p, the proportion of people that recommend you go to graduate school. What is the lower bound of this interval?

If a 90%, a 95% and a 99% confidence interval are foung for a population mean, describe how the 3 interval estimates are related to each other. Which of the 3 intervals is most likely to contain the population mean?

Construct the Confidence Interval for the proportion.In a survey of 2480 golfers, 372 said they were left-handed. Construct a 92% confidence interval for the proportion of left-handed golfers from this sample.

Some students think that a 90% confidence interval contains 90% of the data. Use the list of data on the first page and count how many of the data values lie within the confidence interval. What percent is this? Is this percent close to 90%? Explain why this percent should or should not be close to 90%.

Describe when you would use a t-score instead of a z-score when finding a confidence interval.