## Describe the shape of each distribution. Specifically, what happens to the shape of the distributions as the sample size increases

Use the Central Limit Theorem simulation to explore the distribution of sample means for highly skewed data.

(a) Add 100 rows to the data table. Each row contains the mean for the sample size specified in the column name. So, column N=1 contains individual values, and column N=100 has means for samples of size 100.

(b) Use the Distribution platform to plot the distributions of the five columns.

(c) Describe the shape of each distribution. Specifically, what happens to the shape of the distributions as the sample size increases?

(d) Describe the variability, or spread, of each distribution. What happens to the spread of the distribution as the sample size increases?

### consider doing a market research study to forecast demand for the office units prior to beginning construction.

Dante Development Corporation is considering bidding on a contract for a new office building complex. Figure 4.17 shows the decision tree prepared by one of Dante’s analysts. At node 1,….

### Test the claim that there is a difference in times between two trials.

Mental measurements of young children are often made by giving them blocks and telling them to build a tower as tall as possible. One experiment of block building was repeated….

### Identify the distribution of X—name and parameter(s).

1. When local calls are made in NYC, 60% go through on the first try, and the rest get a busy signal. (We assume there is no third possibility). Let….