blarosen95

import Component from '@glimmer/component';

export default class Confusing extends Component {
  surprising = true;
}

blarosen95

from matplotlib import pyplot as plt
import squarify

data_points = [8, 15, 5, 10, 4, 7]

label = ["Boxes On The Floor",
         "Things W/ Things On Them",
         "Things W/ Boxes On Them",
         "Things W/ Non-Box Things On Them",
         "Boxes W/ Boxes On Them",

blarosen95

# Title     : Final Project for Advanced Statistics & Analytics
# Objective : Analyzing SEC's EDGAR database. This is a project I got into but stopped because I didn't have the
# skillset required to utilize/analyze the data my project's final status was capable of pulling.
# Created by: Blake Rosenberg
# Created on: 12/12/2020

library(lubridate)
library(bizdays)
library(ggplot2)
library(sqldf)

blarosen95

library(plyr)
library(data.table)
library(ggplot2)
require(lattice)

one_xbar <- 85
one_sigma <- 8
one_n <- 64
one_ci <- 0.95

blarosen95

# Title         : Module 6 Assignment
# Objective     : Answer two main questions:
  # Question 1  : A publishing company has just published a new textbook. Before the company decides the price at which
#to sell this textbook, it want to know the average price of all such textbooks in the market. The research department
#at the company took a sample of 25 comparable textbooks and collected information on their prices. This information
#produced a mean price of $145 for this sample. It is known that the standard deviation of the prices of all such
#textbooks is $35 and the population of such prices is normal.
    # A. What is the point of estimate of the mean price all such textbooks?
    # B. Construct a 90% confidence interval for the mean price of all such textbooks
  # Question 2  : A. According to Mobes Services Inc. an individual checking his/her account at major U.S banks via

blarosen95

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blarosen95

var _18B = new ParkingLots
{
Name = "18B",
Permits = new string[] {"D", "E", "HE", "GZ", "R", "S", "WB", "Y"},
Location = new GeoCoordinate(28.063065, -82.402767)
};

var _31T = new ParkingLots
{
Name = "31T",

blarosen95

<Page
    x:Class="InsiderTrades.Views.ListPage"
    xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"
    xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
    xmlns:d="http://schemas.microsoft.com/expression/blend/2008"
    xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"
    xmlns:Interactivity="using:Microsoft.Xaml.Interactivity"
    xmlns:Core="using:Microsoft.Xaml.Interactions.Core"
    xmlns:Media="using:Microsoft.Xaml.Interactions.Media"
    xmlns:controls="using:Microsoft.Toolkit.Uwp.UI.Controls"

blarosen95

package com.github.blarosen95.BFC;

import com.Acrobot.ChestShop.Signs.ChestShopSign;
import org.bukkit.block.Block;
import org.bukkit.block.Sign;
import org.bukkit.entity.Player;
import org.bukkit.event.EventHandler;
import org.bukkit.event.EventPriority;
import org.bukkit.event.Listener;
import org.bukkit.event.block.Action;

blarosen95

GUIDE_NUM	LAST_NAME	FIRST_NAME
AM01	Abrams	Miles
BR01	Boyers	Rita
DH01	Devon	Harley
GZ01	Gregory	Zach
KS01	Kiley	Susan
KS02	Kelly	Sam
MR01	Marston	Ray
RH01	Rowan	Hal
SL01	Stevens	Lori