The amount of calories in a Big Mac at McDonalds is Normally distributed with a mean of 563 calories and a standard deviation of 35. Suppose that a random sample of 10 small servings was collected. What is the probability that the sample mean is greater than 590 calories?

A nurse is educating a client who experienced a partial-thickness burn on how to properly wear their elastic pressure garment. How will the nurse educate the client to wear this garment?

Suppose that you wanted to estimate the population mean amount spent on soft drinks purchased at vending machines by UF students per day. In 2010, a survey found the sample standard deviation was 5 dollars. What sample size would you need to collect in order to make a 95% confidence interval with a margin of error of 0.50 dollars?

In the 2012 presidential election, 57.5% of eligible voters cast their vote. Suppose that 200 randomly selected eligible voters were asked if they had voted in the 2012 presidential election. What approximate distribution would you expect for the sampling distribution of the sample proportion of Americans who voted in the 2012 presidential election?  

In the Congo, the infant mortality rate is 5.934%. Suppose that a random sample of 1000  births was conducted. What is the probability that the infant mortality rate in the sample was less than 5.7%?

The Queensland male koala has an average weight of 6.5kg. Male Koalas weights are normally distributed with a standard deviation of 0.82. Suppose that 10 randomly selected koalas were selected. What is the sampling distribution of the sample mean?

For a 95% confidence interval for the population mean, what value of t would you use? n = 15

Suppose that you were going to take a sample of Florida students. You were interested in estimating the proportion who had ever called/emailed/spoken with their congressmen. You were uncertain what this proportion was; however, you wanted to be 95% confident with a margin of error equal to 0.028. What sample size do you need?

Suppose that 60% of Americans planned to vote in the next election. You take a random sample of 32 people and ask them if they plan on voting in the next presidential election.  What approximate distribution would you expect for the sampling distribution of the sample proportion of Americans who planned on voting?

A pollster was interested in testing the hypothesis to see if there was majority support for a certain political candidate. She found a p-value equal to 0.005. What would be her conclusion?