This is a programming question. You can find a dataset giving the cost (in 1976 US dollars), number of megawatts, and year of construction of a set of nuclear power plants at http:... This is a programming question. You can find a dataset giving the cost (in 1976 US dollars), number of megawatts, and year of construction of a set of nuclear power plants at http://lib.stat.cmu.edu/DASL/Datafiles/NuclearPlants.html. (a) Are there outliers in this data? (b) What is the mean cost of a power plant? What is the standard deviation? (c) What is the mean cost per megawatt? What is the standard deviation? (d) Plot a histogram of the cost per megawatt. Is it skewed? Why?
Understand the Problem
The question is asking to analyze a dataset concerning nuclear power plants, specifically looking for outliers, calculating statistical measures (mean and standard deviation) regarding the costs, and visualizing the data through a histogram to assess skewness.
Answer
Use a boxplot for outliers. Calculate means and standard deviations for costs and cost per megawatt. Use a histogram for skewness.
To determine if there are outliers, you can use a boxplot. For the mean cost and standard deviation, calculate using the cost data. To find cost per megawatt, divide cost by megawatts and compute its mean and standard deviation. Plot a histogram of cost per megawatt to assess skewness.
Answer for screen readers
To determine if there are outliers, you can use a boxplot. For the mean cost and standard deviation, calculate using the cost data. To find cost per megawatt, divide cost by megawatts and compute its mean and standard deviation. Plot a histogram of cost per megawatt to assess skewness.
More Information
A boxplot is a good visual method to identify outliers, which may appear as points outside the 'whiskers' of the plot.
Tips
A common mistake is failing to correctly convert the cost to cost per megawatt. Always verify units and calculations.
Sources
- Nuclear power data information - Transtutors - transtutors.com
- Nuclear power data on Chegg - chegg.com
AI-generated content may contain errors. Please verify critical information
