Publications by Aritra
Discussion_12
#Clearing the environment rm(list = ls()) 1. Correlation Correlation is a statistical term that describes how much two variables fluctuate in tandem. A correlation coefficient of -1 shows a perfect negative correlation, which means that if one variable increases, so does the other. A correlation value of 0 shows that there is no linear relationshi...
1828 sym R (29688 sym/24 pcs)
Discussion_11
rm(list = ls()) #Importing libraries library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ## ✔ lubrid...
554 sym R (7062 sym/25 pcs) 2 img
Discussion_11
rm(list = ls()) #Importing libraries library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ## ✔ lubrid...
554 sym R (7062 sym/25 pcs) 2 img
Discussion_10
rm(list = ls()) Part 1 # Load necessary libraries library(ggplot2) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union # Load required libraries library(ggplot2) libra...
1967 sym R (2902 sym/9 pcs) 3 img
Discussion_9
1. Please Google and describe Law of Large Numbers in wer own words. This law is based on the idea that random events tend to average out over time. When we take a small sample from a large population, there might be some variability, and the sample average might not perfectly reflect the population average. However, as we increase the sample size,...
5988 sym 2 img
Discussion_9
set.seed(seed = 178) 1. Please Google and describe Law of Large Numbers in wer own words. This law is based on the idea that random events tend to average out over time. When we take a small sample from a large population, there might be some variability, and the sample average might not perfectly reflect the population average. However, as we incr...
5989 sym 2 img
Discussion_8
I. SAMPLING METHODOLOGIES 1. Probability and Non-probability sampling a. Probability Sampling: Probability sampling is a method of selecting a sample from a larger population in such a way that each element in the population has a known and non-zero chance of being included in the sample. It relies on random selection techniques, like simple rando...
5138 sym R (2103 sym/16 pcs) 2 img
HW_3
Q1 A researcher wishes to conduct a study of the color preferences of new car buyers. Suppose that 50% of this population prefers the color red. If 20 buyers are randomly selected, what is the probability that between 9 and 12 (both inclusive) buyers would prefer red? # Parameters n <- 20 # Total number of buyers selected p_red <- 0.5 # Probabili...
2805 sym 6 img
HW_3
Q1 A researcher wishes to conduct a study of the color preferences of new car buyers. Suppose that 50% of this population prefers the color red. If 20 buyers are randomly selected, what is the probability that between 9 and 12 (both inclusive) buyers would prefer red? # Parameters n <- 20 # Total number of buyers selected p_red <- 0.5 # Probabili...
2805 sym 6 img
Discussion_6
#Clearing the global environment rm(list = ls()) Q1 Please explain each of the 3 distributions in less than 4 sentences. Normal Distribution: The normal distribution, also referred to as the bell curve, is a probability distribution in which the majority of values are found closest to the mean (average) and fewer values are found farther away fr...
6811 sym 3 img