Exam 10: Predicting Data

Which type of bias is the result of nonrandom sampling and causes some members of the population to have a lesser chance of being chosen for the sample than others?

What allows you to use sampling to make your predictions instead of examining each and every member of a population?

What type of sample would you be using if you gave surveys to the first 75 patients who arrived for appointments at your orthopedic office?

For a normal curve, one standard deviation from the mean comprises what percentage of the observations?

Probabilities are expressed as numbers or percentages.

The likelihood that an event will happen is referred to as what?

A correlation of _____ would mean that a high score on one variable has an analogous low value on the opposite variable.

Which of the following is NOT an example of an inferential statistics question?

For a normal curve, three standard deviations from the mean comprises what percentage of the observations?

A study found that fewer than 100 patients were very satisfied with their hospital stay after a hip-replacement surgery. This is an example of which type of hypothesis?

Which type of sampling relies entirely on the common sense of the researcher doing the study?

Which type of general sampling uses a variety of methods to avoid bias by choosing a random selection of patients for their study?

The sample mean would be the same as the ________ if you "sampled" every single item in the population.

If you decide to examine every 10th medical record for a particular type of procedure, what type of sampling method are you using?

If you accept the null that it is not raining and it is actually raining, then you have made which type of error?

With a large enough sample, usually _____ or greater, the means will be normally distributed even if the scores themselves are not.

Which type of probability sampling divides a population into groups, then randomly selects a number of those groups to study?

Which type of sampling is used to easily and inexpensively approximate results without the time and expense of a probability sample?

Which type of probability sampling uses a method where each member of the population has the same chance of being selected as any other member?

If you were studying a rare disease, such as Progeria, and asked a patient with that condition to put you in touch with other patients who had the disease, this would be an example of which type of sampling?