10th Quantitative data analysis as evidence

What are the quantitative data collection methods?

After you collect the two variables quantitative data, one way to display it is:

• Using a table where you label the variables involved

• 
  Using a box plot with the two variables involved

• In the cartesia plane

• None of the following

After you display the quantitative data on a table, one numerical parameter that it can help us to validate the hypothesis is

• Scatter plot

• T-test

• Two way table

• None of the following

Having an acceptance value of 0.05 (5%) . What can we say if the t-test of two quantitative variables is below the acceptance value

• The hypothesis is not valid

• The hypothesis is valid

• The T-test only work with categorical data

• None of the following

The best way to graph two quantitative data is

• Box plot

• Scatter plot

• Bar graph

• None of the following

When we talk about the strength of the Scatter plot we refer to:

• If the scatter plot has linear or not linear shape

• Scatter plot

• it refers to the correlation of the varibles, weak, moderate, strong

• None of the following

Can we talk about association when the scatter plot is non-linear?

• Yes

• No

• None of the following

If the scatter is linear then it could be a positive association, what does it mean?

If the scatter is linear then it could be a negative association, what does it mean?

We can apply the correlation coefficient in a scatter plot when:

• The scatter is non-linear

• The scatter plot shows a linear association.

• None of the following