Does a correlation of r = 0 always mean there is no correlation and if not are there any exceptions?

I read in the paper that there was a correlation between the number of passengers on a commercial aircraft and the temperature inside the plane. The article said that r = .675. What kind of relationship is this?

Setting a confidence level at 98% to replace one of 95% will have what implications? Give an industrial example.

If I get a p=.03, what does this mean. (Don't just tell me 'It's significant.)

Random data is critical in statistics. If we cannot ensure the data is random what implications are there for the results? Describe three implications.

What is the principle behind the Z score table?

*The following means and statistics were obtained for a study comparing reading speeds for three different font types. Here are the means:*

*Times: mean = 200 words / minute*

*Arial: mean =240 words / minute*

*Courier: mean = 175 words / minute*

*The following results were obtained F (2, 27) = 3.35, p = .05. I wanted to say that these suggest that Arial produced faster reading than Times, which was faster than Courier. But my teacher said 'Not so fast buddy, you can't conclude that YET.' Why did he say this? What more do I need to do? Why?*

*How does a one-tail test compare with a two-tail test for determining the critical value?*

*What is a Kruskal-Wallis analysis and when could it be used?*

*A histogram showing the different responses from five groups of government employees is used in a report to emphasize the different results. A group accounted for 60% of the response, another 20%. Is this an appropriate method to show the results or would you recommend an alternative?*

Does a correlation of r = 0 always mean there is no correlation and if not are there any exceptions?

I read in the paper that there was a correlation between the number of passengers on a commercial aircraft and the temperature inside the plane. The article said that r = .675. What kind of relationship is this?

Setting a confidence level at 98% to replace one of 95% will have what implications? Give an industrial example.

If I get a p=.03, what does this mean. (Don't just tell me 'It's significant.)

Random data is critical in statistics. If we cannot ensure the data is random what implications are there for the results? Describe three implications.

What is the principle behind the Z score table?

*The following means and statistics were obtained for a study comparing reading speeds for three different font types. Here are the means:*

*Times: mean = 200 words / minute*

*Arial: mean =240 words / minute*

*Courier: mean = 175 words / minute*

*The following results were obtained F (2, 27) = 3.35, p = .05. I wanted to say that these suggest that Arial produced faster reading than Times, which was faster than Courier. But my teacher said 'Not so fast buddy, you can't conclude that YET.' Why did he say this? What more do I need to do? Why?*

*How does a one-tail test compare with a two-tail test for determining the critical value?*

*What is a Kruskal-Wallis analysis and when could it be used?*

*A histogram showing the different responses from five groups of government employees is used in a report to emphasize the different results. A group accounted for 60% of the response, another 20%. Is this an appropriate method to show the results or would you recommend an alternative?*

Does a correlation of r = 0 always mean there is no correlation and if not are there any exceptions?

I read in the paper that there was a correlation between the number of passengers on a commercial aircraft and the temperature inside the plane. The article said that r = .675. What kind of relationship is this?

Setting a confidence level at 98% to replace one of 95% will have what implications? Give an industrial example.

If I get a p=.03, what does this mean. (Don't just tell me 'It's significant.)

Random data is critical in statistics. If we cannot ensure the data is random what implications are there for the results? Describe three implications.

What is the principle behind the Z score table?

*The following means and statistics were obtained for a study comparing reading speeds for three different font types. Here are the means:*

*Times: mean = 200 words / minute*

*Arial: mean =240 words / minute*

*Courier: mean = 175 words / minute*

*The following results were obtained F (2, 27) = 3.35, p = .05. I wanted to say that these suggest that Arial produced faster reading than Times, which was faster than Courier. But my teacher said 'Not so fast buddy, you can't conclude that YET.' Why did he say this? What more do I need to do? Why?*

*How does a one-tail test compare with a two-tail test for determining the critical value?*

*What is a Kruskal-Wallis analysis and when could it be used?*

*A histogram showing the different responses from five groups of government employees is used in a report to emphasize the different results. A group accounted for 60% of the response, another 20%. Is this an appropriate method to show the results or would you recommend an alternative?*

Does a correlation of r = 0 always mean there is no correlation and if not are there any exceptions?

Does a correlation of r = 0 always mean there is no correlation and if not are there any exceptions?

If I get a p=.03, what does this mean. (Don't just tell me 'It's significant.)

If I get a p=.03, what does this mean. (Don't just tell me 'It's significant.)

What is the principle behind the Z score table?

What is the principle behind the Z score table?

*Times: mean = 200 words / minute*

*Times: mean = 200 words / minute**Times: mean = 200 words / minute*Times: mean = 200 words / minute

*Arial: mean =240 words / minute*

*Arial: mean =240 words / minute**Arial: mean =240 words / minute*Arial: mean =240 words / minute

*Courier: mean = 175 words / minute*

*Courier: mean = 175 words / minute**Courier: mean = 175 words / minute*Courier: mean = 175 words / minute

*How does a one-tail test compare with a two-tail test for determining the critical value?*

*How does a one-tail test compare with a two-tail test for determining the critical value?**How does a one-tail test compare with a two-tail test for determining the critical value?*

*What is a Kruskal-Wallis analysis and when could it be used?*

*What is a Kruskal-Wallis analysis and when could it be used?**What is a Kruskal-Wallis analysis and when could it be used?*What is a Kruskal-Wallis analysis and when could it be used?