Unit 5: Sampling Distributions

A large university reports that 70% of its students graduate within 4 years. A random sample of 200 students is selected.

The time (in minutes) that customers wait in line at a coffee shop has a right-skewed distribution with mean [math] minutes and standard deviation [math] minutes.

The amount of soda (in ounces) dispensed by a vending machine follows a uniform distribution on the interval [math].

In State A, 55% of voters favor a policy. In State B, 48% favor the same policy. Independent random samples of 300 from State A and 250 from State B are taken.

Factory A produces bolts with mean length [math] cm and [math] cm. Factory B produces bolts with mean length [math] cm and [math] cm. Independent samples of [math] and [math] are taken.

The weights of packages from a shipping company are normally distributed with [math] lbs and [math] lbs.

A pollster wants to estimate the true proportion [math] of adults who support a policy. She considers sample sizes of [math], [math], and [math].

According to national data, 15% of adults have no health insurance. In a random sample of 500 adults from a large city, 90 are found to have no insurance.

Household incomes in a certain region are strongly right-skewed with [math]65{,}000[math]\sigma = \[math].

A researcher takes many random samples of size [math] from a population and calculates [math] for each sample.