Abhirup Pal

Bangalore University
NA

Biography

I have persuaded Msc degree in Statistics from Bangalore University securing the first ranking. Statistics and Mathematics are my favourite subjects and I love to keep on spending time reading them.

Education

MS Statistics
Bangalore University

Educator Statistics

Numerade tutor for 6 years
114 Students Helped

Topics Covered

Linear Regression & Correlation: Analyzing Data Relationships
Understanding Continuous Random Variables: Key Concepts
Understanding Discrete Random Variables: A Comprehensive Guide
Unlocking the Power of Confidence Intervals: A Comprehensive Guide
Exploring Probability Topics: From Basics to Advanced Strategies

Abhirup's Textbook Answer Videos

07:57
Statistics Informed Decisions Using Data

Insect Fragments The Food and Drug Administration sets a Food Defect Action Level (FDAL) for the various foreign substances that inevitably end up in the food we eat and liquids we drink. For example, the FDAL level for insect filth in peanut butter is 0.3 insect fragment (larvae, eggs, body parts, and so on) per gram. Suppose that a supply of peanut butter contains
0.3 insect fragment per gram. Compute the probability that the number of insect fragments in a 5 -gram sample of the peanut butter is
(a) exactly two. Interpret the result.
(b) fewer than two. Interpret the result.
(c) at least two. Interpret the result.
(d) at least one. Interpret the result.
(e) Would it be unusual for a 5 -gram sample of this supply of peanut butter to contain four or more insect fragments?

Chapter 6: Discrete Probability Distributions
Section 3: The Poisson Probability Distribution
Abhirup Pal
14:15
Statistics Informed Decisions Using Data

Wendy's Drive-Through Cars arrive at Wendy's drive-through at a rate of 0.2 car per minute between the hours of 11: 00 P.M. and 1: 00 A.M. on Saturday evening. Wendy's begins an advertising blitz that touts its late-night service. After one week of advertising. Wendy's officials count the number of cars, $X$, arriving at Wendy's drive-through between the hours of 12.00 midnight and 12: 30 A.M. at 200 of its restaurants. The results are shown in the following table:
(a) Construct a probability distribution for the random variable
$X,$ assuming it follows a Poisson process with $\lambda=0.2$ and $t=30 .$ This is the probability distribution of $X$ before the advertising.
(b) Compute the expected number of restaurants that will have 0 arrivals, 1 arrival, and so on.
(c) Compare these results with the number of arrivals after the advertising Does it appear the advertising was effective? Why?

Chapter 6: Discrete Probability Distributions
Section 3: The Poisson Probability Distribution
Abhirup Pal
08:51
Statistics Informed Decisions Using Data

Quality Control A builder ordered two hundred 8 -foot grade A 2 -by- 4 s for a construction job. To qualify as a grade A board, each 2 -by- 4 will have no knots and will average no more than 0.05 imperfection per linear foot. The following table lists the number of imperfections per 2 -by- 4 in the 200 ordered:
(a) Construct a probability distribution for the random variable
$X,$ the number of imperfections per 8 feet of board, assuming that it follows a Poisson process with $\lambda=0.05$ and $t=8.$
(b) Compute the expected number of 2 -by- 4 s that will have 0 imperfections, 1 imperfection, and so on.
(c) Compare these results with the number of actual imperfections. Does it appear the 2 -by- 4 s are of grade A quality? Why?

Chapter 6: Discrete Probability Distributions
Section 3: The Poisson Probability Distribution
Abhirup Pal
14:04
Probability and Statistics for Engineers and Scientists

Find the cumulative distribution function of the random variable $W$ in Exercise 3.8 . Using $F(w),$ find
(a) $P(W>0)$
(b) $P(-1 \leq W<3)$.

Chapter 3: Random Variables and Probability Distributions
Section 3: Continuous Probability Distributions
Abhirup Pal
08:50
Introduction to Mathematical Statistics

Let $X_{1}, X_{2}, \ldots, X_{n}$ represent a random sample from each of the distributions having the following pdfs:
(a) $f(x ; \theta)=\theta x^{\theta-1}, 0<x<1,0<\theta<\infty$, zero elsewhere.
(b) $f(x ; \theta)=e^{-(x-\theta)}, \theta \leq x<\infty,-\infty<\theta<\infty$, zero elsewhere. Note that this
is a nonregular case.
In each case find the mle $\hat{\theta}$ of $\theta$.

Chapter 6: Maximum Likelihood Methods
Section 1: Maximum Likelihood Estimation
Abhirup Pal
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Abhirup's Quick Ask Videos

0:00
Calculus 1 / AB

Calculate the eigenvalues and the corresponding eigenvectors of the given matrix. All matrices have integer eigenvalues

{{0,-2,1}, {-7,-1,3}, {-11,2,4}}

Abhirup Pal
08:02
Intro Stats / AP Statistics

If the total cholesterol values for a certain population are
approximately normally
distributed with a mean of 200 mg/100 ml and a standard deviation
of 20 mg/100 ml, find the
probability that an individual picked at random from this
population will have a cholesterol
value:
(a) Between 180 and 200 mg/100 ml (b) Greater than 225 mg/100 ml
(c) less than 150
mg/100 ml (d) Between 190 and 210 mg/100 ml.

Abhirup Pal
15:45
Intro Stats / AP Statistics

Let X and Y each have the distribution of a fair six-sided die,
and let Z = X + YZ=X+Y.
What is E[X|Z]? (Expected value of X given Z)

Abhirup Pal
07:28
Intro Stats / AP Statistics

6.14 The finished inside diameter of a piston ring is normally
distributed with a mean of 10 centimeters and a standard deviation
of 0.03 centimeter. (a) What proportion of rings will have inside
diameters exceeding 10.075 centimeters? (b) What is the probability
that a piston ring will have an inside diameter between 9.97 and
10.03 centimeters? (c) Below what value of inside diameter will 15%
of the piston rings fall?

Abhirup Pal
04:44
Intro Stats / AP Statistics

Scores on an English test are normally distributed with a mean
of 37.6 and a standard deviation of 7.6. Find the score that
separates the top 59% from the bottom 41%

Abhirup Pal
05:04
Intro Stats / AP Statistics

Computer technology has produced an environment in which robots operate with the use of microprocessors. The probability that a robot fails during any 6-hour shift is 0.10. What is the probability that a robot will operate through 5 shifts before it fails? Select one: 0.36 0.94 0.059 0.065

Abhirup Pal
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