Question

In: Statistics and Probability

A animal behaviorist wants to know how exercise affects behavior of aggressive dogs. She finds a...

  1. A animal behaviorist wants to know how exercise affects behavior of aggressive dogs. She finds a sample of 30 aggressive dogs and randomly divides them into three groups. Over one week, one group is exercised for 20 minute per day, one for one hour per day, and one for 2 hours per day. The number of aggressive behaviors (lunging, biting, snarling, etc.) is recorded for the dogs in each group.
  1. State the population(s) of interest.
  1. Identify the parameter(s) of interest.

  1. Is this an observational study or a controlled experiment? Explain.
  1. What type of analysis does this anticipate?

  1. If applicable, identify one problem with the sampling scheme and explain how this would bias the results of the experiment. Otherwise, explain why you think the sampling is well don

Solutions

Expert Solution

State the population(s) of interest.

The population of interest is the behavior of aggressive dogs.

Identify the parameter(s) of interest.

The parameter of interest is exercise affecting the behavior of aggressive dogs.

Is this an observational study or a controlled experiment? Explain.

This is a controlled experiment because a sample of 30 aggressive dogs is randomly divided into three groups and their behavior is recorded.

What type of analysis does this anticipate?

This is a stratified method analysis.

In this method, the population is first divided into subgroups (or strata) who all share a similar characteristic. It is used when we might reasonably expect the measurement of interest to vary between the different subgroups, and we want to ensure representation from all the subgroups.

If applicable, identify one problem with the sampling scheme and explain how this would bias the results of the experiment. Otherwise, explain why you think the sampling is well don

The number of hours of dogs exercising is different for both groups which can result in sampling bias ness.


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