Hypotesis Testing QUIZ

Imagine you are analyzing the relationship between the area of a hospital (square meters) and patient capacity. Sample data from 7 hospitals are collected.

Identify the two variables in this study.

• area of the hospital

• relationship

• 7 hospitals

• patient capacity

You wish to examine the relationship between the area of a hospital (square meters) and patient capacity. Sample data from 7 hospitals are collected. You wanted to do both correlational and regression analyses.

How will you write your research question to match your intended correlational analysis?

• What is the number of patient capacity in terms of number of beds across different wards?

• What is the effect of the hospital area with the patient capacity.

• Is there a relationship between the hospital area with the patient capacity?

• Ya llevame Diosito!

For the regression analysis, what information can help you predict the patient capacity given the hospital area?

• correlation co-efficient

• slope

• p-value

• regression equation

For this research, which statement best express the NULL hypothesis?

• There is no correlation/prediction between the hospital area and patient capacity.

• There is a correlation/prediction between the hospital area and patient capacity.

The alpha of 0.05 determines your... (CHOOSE 2 answers)

• not beta

• regression period

• level of significance

• correlation co-efficient

Based on the type and number of data, what statistical data should the researchers use to analyze the regression?

• simple linear regression

• simple logistic regression

• multiple logistic regression

• multiple linear regression

Based on the type of data, what statistical data should the researchers use to analyze the correlation?

• Point biserial

• Pearson correlation

• Spearman rank correlation

• No tengo idea

After using the CORREL function, the researcher obtain a r=0.97. What does this correlation co-efficient mean in terms of nature and magnitude of association? (CHECK TWO answers.)

• There is a weak correlation.

• It is negative. As X increases, Y decreases.

• There is a strong correlation.

• It is positive. As X increases Y increases.