Is There an Association Between Infant Sex and Systolic Blood Pressure?

  • Thread starter Nikki10
  • Start date
In summary, the Stats professor is examining low birthweight infants and wants to know if there is an association between sex of the infant and systolic blood pressure. Without further information and analysis, it is uncertain whether or not an association exists.
  • #1
Nikki10
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Homework Statement




You are working on the continuing study examining low birthweight infants that your Stats professor keeps talking about. He hands you the dataset and asks you some seemingly simple questions.

First, he wants to know, is there an association between sex of and infant, and the systolic blood pressure?

What is your best answer?
Answer
Question 1 answers
1. Yes there appears to be an association
2. There is not enough evidence to suggest an association
3. I am unsure if there is an association
4. There is not enough data to say

The Attempt at a Solution



I think the answer is I am unsure if there is an association because you don't know what data set he gave you
 
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  • #2
and you don't know if you need to do any statistical analysis to determine the association. Before giving a definitive answer, I would need to see the data and possibly run some tests to determine the presence of an association between sex of the infant and systolic blood pressure. It is important to always approach scientific questions with caution and thorough analysis to ensure accurate results.
 

1. What is the purpose of studying associations in statistics?

Studying associations in statistics allows us to understand the relationships between different variables and how they may impact each other. This can help us make predictions, identify patterns, and make informed decisions.

2. How do you determine if there is a strong association between two variables?

To determine if there is a strong association between two variables, we can use a measure called correlation coefficient. This measures the strength and direction of the linear relationship between two variables, with values closer to 1 indicating a strong positive association, values closer to -1 indicating a strong negative association, and values close to 0 indicating no association.

3. Can associations be used to establish causation?

No, associations alone cannot be used to establish causation. Just because two variables are strongly associated does not mean that one causes the other. To establish causation, further research and experiments are needed to determine the direction of the relationship and rule out any other potential factors.

4. How can outliers affect associations in statistics?

Outliers, or extreme values, can greatly affect associations in statistics. They can pull the correlation coefficient towards or away from 0, making the relationship appear stronger or weaker than it actually is. It is important to identify and address outliers when studying associations to avoid drawing incorrect conclusions.

5. What is the difference between correlation and causation?

Correlation refers to the relationship between two variables, while causation refers to one variable directly causing changes in another. While a strong correlation can suggest a potential causal relationship, it cannot prove it. Causation requires further research and evidence to establish a direct cause and effect relationship between variables.

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