Publications by Arvind Sharma
IPUMS_graph
# NOTE: To load data, you must download both the extract's data and the DDI # and also set the working directory to the folder with these files (or change the path below). if (!require("ipumsr")) stop("Reading IPUMS data into R requires the ipumsr package. It can be installed using the following command: install.packages('ipumsr')") ## Loading req...
31 sym R (3507 sym/24 pcs) 4 img
Week7_CPS_discussion
PROMPT The Current Population Survey (CPS) is a monthly survey of households conducted by the Bureau of Census for the Bureau of Labor Statistics. It provides a comprehensive body of data on the labor force, employment, unemployment, persons not in the labor force, hours of work, earnings, and other demographic and labor force characteristics. Expl...
5243 sym R (19060 sym/26 pcs)
Final_sol
Welcome to the Final! You must show your work and justify all of your responses. I cannot evaluate partial credit without evidence of understanding. This final is open book, open note, open Internet, and open computer. You may not communicate via any means with any intelligent being on this planet or another, and you may not communicate with lifefo...
8948 sym R (9483 sym/62 pcs) 1 img
Final
Welcome to the Final! You must show your work and justify all of your responses. I cannot evaluate partial credit without evidence of understanding. This final is open book, open note, open Internet, and open computer. You may not communicate via any means with any intelligent being on this planet or another, and you may not communicate with lifefo...
8036 sym
HW6
For Review, watch LINEAR REGRESSION IN R The attached .csv file has data pertaining to hospital expenditures (dependent variable). The column RVUs is a representation of standard outpatient workload. Using R, conduct correlation analysis (between the two variables) and interpret. Then fit a linear model with Expenditure as the dependent variable (...
11059 sym 35 img
HW5
Homework 5, Data Analysis Resources : W5 folder in our Dropbox folder now contains some supplementary lecture readings re-emphasizing the core concepts of CLT, standard error, hypothesis testing, confidence interval and p-values. Please skim through them (~15 minutes) before attempting the assignment to refresh your memories. Please find the Open ...
17875 sym Python (19528 sym/167 pcs) 17 img
CLT_discussion_solution
Central Limit Theorem I. Definition and Proof In class, we saw that The Central Limit Theorem (CLT) is one of the most important theorems in statistics and data science. The CLT states that the sample mean (\(\bar{x}\)) of a probability distribution sample is a random variable with a mean value given by population mean \(\mu\) and standard deviati...
3767 sym R (6338 sym/37 pcs) 3 img
HW5_template
Homework 5, Data Analysis Resources : W5 folder in our Dropbox folder now contains some supplementary lecture readings re-emphasizing the core concepts of CLT, standard error, hypothesis testing, confidence interval and p-values. Please skim through them (~15 minutes) before attempting the assignment to refresh your memories. Please find the Open ...
3475 sym Python (7068 sym/25 pcs) 5 img
Discussion4
1 Read up on how to use BEA data API The data API provides programmatic access to BEA published economic statistics using industry-standard methods and procedures. BEA’s data API includes methods for retrieving a subset of our statistical data and the meta-data that describes it. Go to Bureau of Economic Analysis (BEA) Data Application Programmin...
3916 sym R (38024 sym/50 pcs) 3 img
LLN
In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed. 1 Create ...
1527 sym Python (2516 sym/15 pcs) 2 img