Publications by Micah Turner
Stat302 W5 Discussion Kenneth
Setup # Load Libriaries library(tidyverse) library(knitr) Identify Variables #### Assign the mean to a variable m <- 37022 ##### Find the standard deviation sd <- 10499.5197 #### Calculate the size and assign it to a variable n <- 10 #### Calculate p and assign it to a variable p <- 0.5 #### Calculate q and assign it to a variable q...
96 sym R (1456 sym/6 pcs) 1 tbl
Stat302 W5 Discussion Gen
Setup # Load Libriaries library(tidyverse) library(knitr) Identify Variables #### Assign the mean to a variable m <- 34373 ##### Find the standard deviation sd <- 8691.652189 #### Calculate the size and assign it to a variable n <- 10 #### Calculate p and assign it to a variable p <- 0.7 #### Calculate q and assign it to a variable ...
96 sym R (1459 sym/6 pcs) 1 tbl
stat302 W5 Discussion
Setup # Load Libriaries library(tidyverse) library(knitr) # Read data super <- read.csv("2013Coupes.csv") data <- filter(super,Price < 100000) Identify Variables #### Assign the mean to a variable m <- mean(data$Price) ##### Find the standard deviation sd <- sd(data$Price) #### Create dataframe of values below the mean ltm <- filter(d...
96 sym R (1694 sym/6 pcs) 1 tbl
Stat 302 W4 Discussion
Setup # Load Libriaries library(tidyverse) library(knitr) # Read data super <- read.csv("2013Coupes.csv") dat <- filter(super,Price < 100000) Identify Variables #### Calculate and assign mean m <- mean(dat$Price) #### Assign sample size n <- 4 #### Calculate new standard deviation and assign o <- sd(dat$Price)/sqrt(n) #### Return ...
1299 sym R (2336 sym/11 pcs) 2 tbl
Stat 302 W3 Discussion
Setup # Load Libriaries library(tidyverse) library(knitr) # Read data super <- read.csv("2013Coupes.csv") dat <- filter(super,Price < 100000) Identify Variables #### Assign the mean to a variable m <- mean(dat$Price) #### Create dataframe of values below the mean ltm <- filter(dat,dat$Price < m) #### Calculate the size and assign it to...
737 sym R (1943 sym/11 pcs) 2 tbl
Statistics 302 W3 Discussion
Setup # Load Libriaries library(tidyverse) library(knitr) # Read data super <- read.csv("2013Coupes.csv") dat <- filter(super,Price < 100000) Identify Variables #### Assign the mean to a variable m <- mean(dat$Price) #### Create dataframe of values below the mean ltm <- filter(dat,dat$Price < m) #### Calculate the size and assign it to...
996 sym R (1950 sym/11 pcs) 2 tbl
Statistics 302 W2 Discussion
Setup # Load Libriaries library(tidyverse) library(knitr) # Read data super <- read.csv("2013Coupes.csv") dat <- filter(super,Price < 100000) Summary Statistics # Find Mean, Median and Standard Deviation of data w/o supercar and assign it to a variable name reg <- dat %>% summarise(Mean = mean(Price), Median = median(Price), Standa...
2047 sym R (1344 sym/7 pcs) 6 tbl
ST302 W2 Discussion
Setup # Load Libriaries library(tidyverse) library(knitr) # Read data super <- read.csv("2013Coupes.csv") dat <- filter(super,Price < 100000) Summary Statistics # Find Mean, Median and Standard Deviation of data w/o supercar and assign it to a variable name reg <- dat %>% summarise(Mean = mean(Price), Median = median(Price), Standa...
2033 sym R (1332 sym/6 pcs) 5 tbl
Statistics 302 W2 Discussion
Setup # Load Libriaries library(tidyverse) library(knitr) # Read data super <- read.csv("2013Coupes.csv") dat <- filter(super,Price < 100000) Summary Statistics # Find Mean, Median and Standard Deviation of data w/o supercar and assign it to a variable name reg <- dat %>% summarise(Mean = mean(Price), Median = median(Price), Standa...
1479 sym R (1584 sym/9 pcs) 2 img 3 tbl