Colombia'sChiribiqueteparkfeatures at least 82 species of mammals. If we set up wildlife cameras over a month, we expect a mean of about 14.2 species to show up, with a standard deviation of 2.4.

Now say that we get a grant to place cameras in 6 randomly selected months next year.

If we assume that the sightings are Normally distributed, what is the probability that we average 11.0-13.5 creatures per month?

In the wildlife photos problem, we went from one month of data to six months of data.

How does having more data change the distribution of the data? (In other words, what is the difference between the population distribution and the sampling distribution?

The sampling distribution is more clustered around the mean than the population distribution.

The sampling distribution is has a higher mean than the population distribution because it is built on more data.

The population distributionis more clustered around the mean than the sampling distribution.

The sampling distribution is built on the population distribution and is basically the same.

Chiropterists (bat scientists) working in Kentucky since 1933 have observed based on thousands of nights of data that net traps set up overnight outside a cave catch a number of bats that is approximately Normally distributed with a mean of 104 and a standard deviation of 7. A new researcher comes in and catches bats on twenty randomly selected nights. He calculates the mean of his sample, and one of the experienced chiropterists, showing off, tries to guess how many bats the new guy caught each day on average. She comes up with a single number as a point estimate. What is the experienced chiropterists' best guess?