Quasi Rent
1. Introduced by dr marshaal
2.refers to the additional income earned by factors other than land
3.whose supply is fixed in the short period
4. term quasi rent will be used in the present volume as income derived from machines and other appliances of production Mande by man
5. quasi rent is not related to any particular factor of production whatever revenue firm earns in the short run over and above it’s variable cost is called quasi rent
=TR-TVC
Criticism of the Theory:
1. Unrealistic
SECTION 6.1 - Data, Information, and Business Intelligence
Four Primary Traits of Data Value:
Accuracy – Correct and reliable.
Completeness – No missing values.
Consistency – Same data, same format across systems.
Timeliness – Up-to-date and available when needed.
Types of Data:
Transactional Data: Supports daily tasks (e.g., sales receipts).
Analytical Data: Supports managerial decisions (e.g., trends).
Real-Time
Chapter 17: The Special Senses
Olfaction (Smell)
Gustation (Taste)
Vision...
I. CLASSIFICATION EVALUATION METRICS
A. Confusion Matrix (for two classes: Positive (+), Negative (-))
Predicted + Predicted -
Actual + TP (f++) FN (f+-)
Actual - FP (f-+) TN (f--)
True Positive (TP): Actual +, Predicted +. Correctly identified positives.
False Negative (FN): Actual +, Predicted -. Missed positives (Type II error).
False Positive (FP): Actual -, Predicted +. Falsely identified positives (Type I error).
True Negative (TN): Actual -, Predicted -. Correctly identified negatives.
Total Actual...
1) import matplotlib.pyplot as plt||import pandas as pd||import seaborn as sns||from sklearn.datasets import fetch_california_housing||# Load the California Housing dataset||california = fetch_california_housing(as_frame=True)||df = california.frame||# Numerical features||numerical_features = df.select_dtypes(include=['number']).columns||# Histograms||plt.figure(figsize=(15, 10))||for i, feature in enumerate(numerical_features):||plt.subplot(3, 3, i + 1)||sns.histplot(df[feature], kde=True)||plt.
const { createStore } = require('redux'); // Or 'import { createStore } from 'redux';'
// 1. Initial State
const initialState = { tasks: [] };
// 2. Action Types & Creators
const ADD_TASK = 'ADD_TASK';
const REMOVE_TASK = 'REMOVE_TASK';
function addTask(task) { // task: { id, description }
return { type: ADD_TASK, payload: task };
}
function removeTask(taskId) { // taskId: number
return { type: REMOVE_TASK, payload: taskId };
}
// 3. Reducer
function taskReducer(state = initialState, action) {
...
1. Introduction: Lord Ripon, the Viceroy of India from 1880 to 1884, is known as the "Father of Local Self-Government" in India.
He believed in giving Indians a role in administration and improving governance through local bodies.
2. Main Objectives:To promote democratic participation at the local level.
To make administration more efficient and responsive to local needs.To train Indians in the art of self-governance.
3. Key Features of the 1882 Resolution: Establishment of Local Boards: District...
1. useState
Purpose: Adds state to functional components.
Import: import { useState } from 'react';
Syntax: const [state, setState] = useState(initialValue);
Update: setState(newValue); or setState(prevState => ...); (for updates based on previous state).
Example:
import React, { useState } from 'react';
function Counter() {
const [count, setCount] = useState(0);
return (
<div>
<p>Count: {count}</p>
<button onClick={() => setCount(count + 1)}>Increment</button>
</div>...
Quantity Identity of Money: M x V = P x Y (M = money, V = velocity, P = price level, Y = real GDP, P x Y = nominal GDP)
To calculate inflation, multiply new prices by # of old goods (total)
m + v = pi + y: growth rates of quantity identity of money, assuming v = 0 in long run, pi = m - y (inflation = money supply growth - real GDP growth)
Inflation makes it easier for central banks to respond to shocks w/ lower real interest rates since r = i - pi (this is why you can overcome zero lower bound by...