1.A survey of students was conducted to study the relationship between the types of housing a student has and the student's mode of travel to class.The table below contains data gathered in that study.

House Apartment Dorm Total

Walk 12 44 155 211

Skateboard26 38 108 172

Car 168 121 3 292

Total206 203 206 675

Suppose one student is chosen at random.What is the probability the student drives a car to class?

21A survey of students was conducted to study the relationship between the types of housing a student has and the student's mode of travel to class.The table below contains data gathered in that study.

House Apartment Dorm Total

Walk 12 44 155 211

Skateboard26 38 108 172

Car 168 121 3 292

Total206 203 206 675

Suppose one student is chosen at random.What is the probability the student lives in an apartment or walks to class?

3 . A survey of students was conducted to study the relationship between the types of housing a student has and the student's mode of travel to class.The table below contains data gathered in that study.

House Apartment Dorm Total

Walk 12 44 155 211

Skateboard26 38 108 172

Car 168 121 3 292

Total206 203 206 675

Suppose one student is chosen at random.What is the probability the student lives in a dorm given they walk?

4.A town's December high temperatures average 46oF with a standard deviation of 9oF, while in June the mean height temperature is 75oF with a standard deviation of 8oF.In which month is it moreunusualto have a high temperature of 59oF?(hint: use z-score)

5.In a random sample of 24 hip surgeries of a certain type, the mean surgery time was 136.9 minutes with a sample standard deviation of 22.6 minutes. Which of the following is a 90% confidence interval for the population mean surgery time?

6.Suppose a data set is strongly skewed to the right. Which statement istrue?

The mean will be equal to the median.

The mean will be smaller than the median.

The mean will be larger than the median

We do not have sufficient information to identify the relationship between the mean and the median.