Kinoko_Mori

Okay. So that was bullshit. I think I made it about 3 or 4 weeks or 2 or 3 months before I completely burned out; that can extrapolated through this combined graph: You can kinda see two efforts. Two spikes of drive. So it's obvious that passion and motivation are good but not sustainable resources. After a while it became agonizing, un-fun. After which point the spark was gone. Then I quit all vocabulary practice for about two or three weeks before I was able to start up again. When I did restart I started meandering between objectives and found that more immediately fulfilling than the route memorization of a…

A few days late but I did record what the transition from 'studying on the bus sometimes' to '2 hours a day' looks like for the first 25 days. Up next is 50 days which I think is August 19th. I should have made one showing review time as well as review reps. Next time.... So as mentioned else where this is decks Genki Book One, Third Edition and Genki Book Two, Third Edition combined into one deck. This is just 'one month' and hasn't really made a huge impact on production but what it's really done is enhanced my ears. I'm hearing more and more words, 'functional words' are…

Module 5 - Describing Data: Z-scores A Z-score is a numerical measurement that describes a datapoint’s relationship to the mean of a group of values. - Tells us exactly where the original scores are located. Allows us to standardize an entire distribution. - Gives you an idea of how far from the mean a data point is. - Describes the position of a raw score in terms of its distance from the mean, when measured in standard deviation units. The z-score is positive if the value lies above the mean, and negative if it lies below the mean. - Scores that have been given a common standard. This standard is…

Module 4 - Describing Data: Variability Variability A statistical method to measure and objectively describe the differences that exist within a data set. Describes distribution along with shape and central tendency. There are three measures of variability; range, Interquartile Range, and Standard Deviation with Standard Deviation being hte most promenant. require("RPostgreSQL") # Load the PostgreSQL driver, create a connection to the postgres database drv <- dbDriver("PostgreSQL") con <- dbConnect(drv, dbname = "smokyants", host = "localhost", port = 5432, user = "ruser", password = "ruser") sql_string <- paste("SELECT * FROM smokyants", sep="") smokyants <- data.frame(dbGetQuery(con, sql_string)) dbDisconnect(con) [1] TRUE Range The distance between the largest and smallest scores in a distribution.…

Mean, Median and Mode Module 3 - Describing Data: Central Tendency Central Tendency Where the center is at, a statistical measure to determine a single value that defines the center of distribution. Often called averages. An attempt to find the single value that is most typical or representative of the entire group. # install.packages("RPostgreSQL") # install.packages("compare") # install.packages("moments") require("RPostgreSQL") Loading required package: RPostgreSQL Loading required package: DBI require("compare") Loading required package: compare Attaching package: ‘compare’ The following object is masked from ‘package:base’: isTRUE require("moments") Loading required package: moments drv <- dbDriver("PostgreSQL") con <- dbConnect(drv, dbname = "cali_water", host = "localhost", port = 5432,user = "ruser", password = "ruser") sql_string <-…

Module 2 - Describing Data: Shape Module 2 - Describing Data: Shape require(&quot;moments&quot;) Loading required package: moments So this section is shape. Learning Objectives Learning Objectives Outline Outline Statistical Notation N: The number of N in a population, n: the number of n in a sample Organizing Data Frequency Distribution: An Organized table of the number of scores located in each category on the measurement scale. The number of times each possible value of a variable occurs in a dataset. # Load the PostgreSQL driver, create a connection to the postgres database drv <- dbDriver("PostgreSQL") con <- dbConnect(drv, dbname = "smokyants", host = "localhost", port = 5432, user = "ruser",…

I forgot how to write. It's been so long and overall I've done so little of it I don't know how to string words together anymore. Didn't really consider that a thing. I've also forgotten how to read. And then a pandemic became us. Goodness, oh none of it; So much pain, so much suffering, on a global scale. But during all this I was allowed to spend time with my guitar, something I've always wanted to do. I've had my instrument for more than 10 years but it did do a lot of sitting in a closet before I started putting hours into it. So I'm only going to…