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DS152[A] — Introduction to Data Science 2 (2024-25:Semester 2)
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A study of the salaries of professors at a University shows that the average salary for female professors is considerably less than the average male salary. Further investigation broken down by department (English, Physics, etc.) shows that the average salary for female professors is more than the average male salary. This apparent contradiction is an example of
Which of the following is not a basic principle of experimentation?
Suppose you have a dataset called gdp_dat which contains values of the gross domestic product (gdp) at different time periods (year) across multiple countries (country). Suppose you want to calculate the number of data points available within each country. You can use
A researcher wants to set up an experiment to study the effects of five different types of fertilisers on maize yield. They have access to a field where all plots are the same in terms of soil composition, and there is no reason to believe that there is a gradient of fertility in any direction. What experimental design should be used?
Jill is working on a project in which she is exploring the outcomes of a new educational curriculum on a sample of 3rd class primary school students in Ireland. Her ability to extend her findings to all 3rd class primary school students is an example of
A study was carried out to predict the compressive strength of concrete using 2 predictor variables, Cement and Coarse_Aggregate. Find below the output of a regression model fitted to the data:
## (Intercept) Cement Coarse_Aggregate
## 35.30 0.07 -0.02
What is the predicted compressive strength for a sample with Cement = 200 and CoarseAggregate = 1000?
Which is the correct function for calculating the correlation between two variables x and y?
Which one of the situations presented below is an experimental study?
The plot below is an example of a
A researcher would like to predict the probability of a cardiac arrest (cardiac arrest = 1, no cardiac arrest = 0) based on 4 predictors: age, body weight, exercise, and whether the person is a smoker or not. What would be the most suitable modelling strategy to be used in this case?