Heena Haldankar

Numerade Educator
LECTURER AND PROPRIETOR

Biography

I was the Proprietor of “Heena Haldankar’s Academy”, I am well-known for teaching subjects like Mathematics (11th and 12th Science with JEE) as well as Engineering Mathematics (Semester I to IV) to the students of Engineering (Degree & Diploma). I also use to teach subjects like Signals & Systems, Computer Graphics, Database Management Systems, Data Structures, and Electrical Networks at my institute.

Worked as a Faculty at “Manish Haldankar’s Academy”, teaching subjects like Mathematics & English Literature to the students of school section (Grade 7 to 10 of ICSE/ CBSE/ IGCSE Boards).

FROM JULY 2009 – DECEMBER 2018
HEENA HALDANKAR’S ACADEMY, PROPRIETOR AND LECTURER
KEY RESPONSIBILITIES:

? Faculty of Engineering Mathematics for Semester I to IV of Diploma & Degree Engineering. Teaching other subjects like Operating Systems, Software Engineering, Database Management Systems, Random Signal Analysis, Signals & Systems & Data Structures to higher semester students.
? Faculty of Mathematics for 11th and 12th Science Boards and CET, JEE. (All boards)

? Handling of entire administration of academy including hiring teachers, fees management, salary payments and counselling students as well as parents.
? Analysing performance of students by conducting regular tests and review meetings with teachers of other subjects.
? Making notes and preparing worksheets for extra practise to improve their academic performance.

Education

Heena has not yet added their education credentials.

Educator Statistics

Numerade tutor for 7 years
219 Students Helped

Topics Covered

Unlocking the Power of Functions: Boost Your Programming Skills
Stand Out with Differentiation Strategies | Boost Your Business
Mastering Integrals: Tips and Tricks for Calculus Success
Understanding Continuous Random Variables: Key Concepts
Maximizing Accuracy with Effective Sampling and Data Analysis
Understanding the Normal Distribution: A Comprehensive Guide
Unlocking the Power of Confidence Intervals: A Comprehensive Guide
Hypothesis Testing with One Sample: A Comprehensive Guide
Hypothesis Testing with Two Samples: A Comprehensive Guide
Unlocking the Power of Experimentation: A Guide to Success
Unlocking Insights with Descriptive Statistics: A Comprehensive Guide
Linear Regression & Correlation: Analyzing Data Relationships
Exploring Probability Topics: From Basics to Advanced Strategies
Unlocking the Power of Chi Square Tests and the F Distribution
Maximizing Results with Distribution & One-Way ANOVA Analysis
Master Trigonometry with Our Comprehensive Guide
Discover the Basics of Trigonometry: Your Introduction to Triangles
Functions
Solving Systems of Equations and Inequalities: A Comprehensive Guide

HEENA's Textbook Answer Videos

06:37
Calculus of a Single Variable

Finding a Derivative In Exercises $43-66,$ find the derivative of the function.
$$y=\ln \left|\frac{\cos x}{\cos x-1}\right|$$

Chapter 5: Logarithmic, Exponential, and Other Transcendental Functions
Section 1: The Natural Logarithmic Function: Differentiation
Heena Haldankar
09:37
Probability with Applications in Engineering, Science, and Technology

A large but sparsely populated county has two small hospitals, one at the south end of the county and the other at the north end. The south hospital's emergency room has 4 beds, whereas the north hospital's emergency room has only 3 beds. Let $X$ denote the number of south beds occupied at a particular time on a given day, and let $Y$ denote the number of north beds occupied at the same time on the same day. Suppose that the two rvs are independent, that the pmf of $X$ puts probability masses $.1, .2, . .3, .2,$ and .2 on the $x$ values $0,1,2,3,$ and $4,$ respectively, and that the $\mathrm{pmf}$ of $Y$ distributes probabilities $.1, .3, .4,$ and .2 on the $y$ values $0,1,2,$ and $3,$ respectively.
(a) Display the joint pmf of $X$ and $Y$ in a joint probability table.
(b) Compute $P(X \leq 1$ and $Y \leq 1$ ) by adding probabilities from the joint pmf, and verify that this equals the product of $P(X \leq 1)$ and $P(Y \leq 1)$.
(c) Express the event that the total number of beds occupied at the two hospitals combined is at most 1 in terms of $X$ and $Y,$ and then calculate this probability.
(d) What is the probability that at least one of the two hospitals has no beds occupied?

Chapter 4: Joint Probability Distributions and Their Applications
Section 1: Jointly Distributed Random Variables
Heena Haldankar
11:28
Probability with Applications in Engineering, Science, and Technology

According to the Mars Candy Company, the long-run percentages of various colors of M\&M's milk chocolate candies are as follows: Blue: 24$\%$ Orange: 20$\%$ Green: 16$\%$ Yellow: 14$\%$ Red: 13$\%$ Brown: 13$\%$
(a) In a random sample of 12 candies, what is the probability that there are exactly two of each color?
(b) In a random sample of 6 candies, what is the probability that at least one color is not included?
(c) In a random sample of 10 candies, what is the probability that there are exactly 3 blue candies and exactly 2 orange candies?
(d) In a random sample of 10 candies, what is the probability that there are at most 3 orange candies? [Hint: Think of an orange candy as a success and any other color as a failure.]
(e) In a random sample of 10 candies, what is the probability that at least 7 are either blue orange or green?

Chapter 4: Joint Probability Distributions and Their Applications
Section 1: Jointly Distributed Random Variables
Heena Haldankar
13:24
Probability with Applications in Engineering, Science, and Technology

Let $X$ denote the number of Canon digital cameras sold during a particular week by a certain store. The pmf of $X$ is
$\begin{array}{c|ccccc}{x} & {0} & {1} & {2} & {3} & {4} \\ \hline p_{X}(x) & {.1} & {.2} & {.3} & {.25} & {.15} \\ \hline\end{array}$
Sixty percent of all customers who purchase these cameras also buy an extended warranty. tell $Y$ denote the number of purchasers during this week who buy an extended warranty.
(a) What is $P(X=4, Y=2) ?[$Hint: This probability equals $P(Y=2 | X=4) \cdot P(X=4) ;$ now think of the four purchases as four trials of a binomial experiment, with success on a trial corresponding to buying an extended warranty 1
(b) Calculate $P(X=Y)$
(c) Determine the joint pmf of $X$ and $Y$ and then the marginal pmf of $Y .$

Chapter 4: Joint Probability Distributions and Their Applications
Section 1: Jointly Distributed Random Variables
Heena Haldankar
05:31
Probability with Applications in Engineering, Science, and Technology

A stockroom currently has 30 components of a certain type, of which 8 were provided by supplier $1,10$ by supplier $2,$ and 12 by supplier $3 .$ Six of these are to be randomly selected for a particular assembly. Let $X=$ the number of supplier 1 's components selected, $Y=$ the number of supplier
$2^{\prime}$ s components selected, and $p(x, y)$ denote the joint pmf of $X$ and $Y .$
(a) What is $p(3,2) ?$ [Hint: Each sample of size 6 is equally likely to be selected. Therefore $p(3,2)=($ number of outcomes with $X=3$ and $Y=2) /($ total number of outcomes). Now use the product rule for counting to obtain the numerator and denominator.
(b) Using the logic of part (a), obtain $p(x, y) .$ (This can be thought of as a multivariate hyper geometric distribution - sampling without replacement from a finite population consisting of more than two categories.)

Chapter 4: Joint Probability Distributions and Their Applications
Section 1: Jointly Distributed Random Variables
Heena Haldankar
08:36
Probability with Applications in Engineering, Science, and Technology

Annie and Alvie have agreed to meet between $5 : 00$ and $6 : 00$ p.m. for dinner at a local health-food restaurant. Let $X=$ Annie's arrival time and $Y=$ Alvie's arrival time. Suppose $X$ and $Y$ are independent with each uniformly distributed on the interval $[5,61,$
a) What is the joint pdf of $X$ and $Y ?$
(b) What is the probability that they both arrive between $5 : 15$ and $5 : 45 ?$
(c) If the first one to arrive will wait only 10 min before leaving to eat elsewhere, what is the
probability that they have dinner at the health-food restaurant? [Hint: The event of interest is
$A=\left\{(x, y) :|x-y| \leq \frac{1}{6}\right\} . ]$

Chapter 4: Joint Probability Distributions and Their Applications
Section 1: Jointly Distributed Random Variables
Heena Haldankar
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