However, when they showed their data to a statistics professor, the professor pointed out that correlation was not the right tool to show that their program was effective. Correlation will NOT show whether or not there is weight loss. Which tool would be more appropriate? 2-Sample Mean (Matched Pairs) 2-Sample Proportion 1-Sample Proportion 2-Sample Mean (Independent Samples) 1-Sample Mean Explain what the correlation DOES show in this example, in terms of weights of individuals.
A weight-loss program wants to test how well their program is working. The company selects a simple random sample of 72 individual that have been using their program for 18 months. For each individual person, the company records the individual's weight when they started the program 18 months ago as an x-value. The subject's current weight is recorded as a y-value. Therefore, a data point such as (183, 157) would be for a specific person and it would indicate that the individual started the program weighing 183 pounds and currently weighs 157 pounds. In other words, they lost 26 pounds.
When the company performed a
- 2-Sample
Mean (Matched Pairs) - 2-Sample Proportion
- 1-Sample Proportion
- 2-Sample Mean (Independent Samples)
- 1-Sample Mean
Explain what the correlation DOES show in this example, in terms of weights of individuals.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
