Explain two problems encountered when applying OLS to the linear probability model .How can these problems be solved

Q: Theoretical probability is what we expect to happen, where Experimental probability is what actually…

A: Given: The objective is to compare Theoretical and Experimental Probability and to select the more…

Q: What does combination mean in probability?

A: Combinations in probability are the number of ways to calculate the total outcomes of an event where…

Q: How can I tell whether to use the addition rule or the multiplcation rule when determining…

A:

Q: how to get probability?

A: Probability refers to the likelihood of chance of happening of a particular event. The value of…

Q: The wait time for your local pizzeria to deliver food is normally distributed with µ = 42 minutes…

A: Given,mean(μ)=42standard deviation(σ)=3

Q: What is the probability that a student who failed the course took the class online

A:

Q: Discuss the applications of error probability?

A: Before discussing the applications of error probability, first we discuss about the error…

Q: If two balanced dice are rolled, what is the probability that the sum of  two numbers that appear…

A:

Q: Why do you think probability theory is of interest to performance modeling of information systems?

A: Model - a model is a representation (physical, logical, or functional) that mimics another object…

Q: If each day there's a 60 percent chance Joe will eat lunch, what is the probability that he'll eat…

A: Given: Each day there is 60% chance Joe will eat lunch. Objective of the question is to calculate…

Q: What do you mean by objective and subjective probabilities? Fit one simple real-life example in each…

A: Objective probability is based on observation of experiments where as subjective probability is…

Q: When we find conditional probabilities, do we need to check to see if they are mutually exclusive or…

A: Yes we need to check to see if they are mutually exclusive or if they are independent.    If A and B…

Q: Explain the concept of "two-tailed probability"?

A: The concept of two-tailed probability relates to the testing of the hypothesis to study the…

Q: What can be done to decrease the probabilities of committing Type I and Type 2 errors?

A:

Q: The cumulative distribution function can be illustrated by using a simple probability structure.

A: True

Q: If the probability of an event is 0.65, what are the odds against the event?

A: Let, E=the eventP(E)=0.65

Q: A mobile operator company has to deal with 12 site down issues per hour. What is the probability…

A: Answer :

Q: If two balanced dice are rolled, what is the probability that the difference between the two numbers…

A:

Q: What conditions should be satisfied in order to approximate binomial probabilities by Poisson…

A: Conditions for approximating binomial probabilities by Poisson probabilities are given below: The…

Q: If we roll two dice, what is the probability that the sum of the numbers on top is 7?

A: Given data: The number of dice rolled is: n=2.   The expression for the number of sample space when…

Q: Explain why a random phenomenon with two possible outcomes does not necessarily have 0.5 as the…

A: Probability is the measure of likelihood that an event will occur in a random expriment. Probability…

Q: What are the different Shortcomings of the linear probability model?

A:

Q: A problem in statistics is given to three students A, B and C whose enhances of solving it are 1/2,…

A: Given : The probability of solving a problem by students A, B and C is 1/2,3/4 and 1/4

Q: Why is it possible to define the probability of committing a Type I error but impossible to know the…

A: Definition of Type 1 & Type 2 Error : In hypothesis testing, a type 1 error is the rejection of…

Q: Explain Linear Probability Model?

A: The linear probability model is a special case of regression model in which the outcome variable is…

Q: A dice is rolled twice. What is the probability of showing an even number on both the dice?

A:

Q: What is Probability Analysis?

A: Probability analysis: Probability analysis is used by the risk managers. It is the method by them to…

Q: How does the Bayes Theorem differ from the conditional probability? Can you please explain it in…

A: Conditional Probability :  If the occurrence of an event is based on the occurrence of previous…

Q: Should the one-tailed or the two-tailed probability be used to assess performance  of the students?

A: The tail of the test depends on the alternative hypothesis of the test. The possible alternative…

Q: What does the mean of a probability disturbution represent?

A: Any random variable can assume several values and there is a probability associated with each value.…

Q: You determine that your friend who doesn’t own a car has a 90% chance of calling today because it is…

A: Given data: You determine that your friend who doesn’t own a car has a 90% chance of calling today…

Q: How can we compare the probability value with the α level?

A: The comparison of the probability value (p-value) with the α level is based on the decision rule of…

Q: 4 Amobile operator company has to deal with 12 site down issues per hour. What is the probability…

A:

Q: In the attatched image is a partially complete probability model. What is the probability for the…

A:

Q: In a binomial experiment, the probability of success on a given trial could change from trial to…

A: In a Binomial experiment All the trials are independent So, Probability of success and probability…

Q: Two teaching methods for a statistics class, online and face-to-face, are available during the…

A: We use Baye's theorem to find the required probability.

Q: F) what is probability of successful system operation?

A: Here in given system probability of each component work is given

Q: If a successful student is noticed what is the probability that he was a student of Arts, Science or…

A: here define events Arts  = A Science = S Commerce  = C passed in examination = E   p(A ) = 0.40…

Q: Who wrote the book Moderate methods of Probability?

A: Probability is the chance of occurrence of an event.

Q: If two balanced dice are rolled whats the probability that the sum of the two numbers will appear…

A: Given that : Two balanced die are rolled.  We know that a die contains ( 1,2,3,4,5,6) Total outcome…

Q: How does the probability of union of disjoint events exhibit itself when dealing with a (discrete or…

A: Introduction: Suppose there are n events, A1, A2, …, An. The general formula for the probability of…

Q: If two balanced dice are rolled, what is the probability that the difference between the two numbers…

A:

Q: One of the requirements of a Probability Distribution is

A: One of the requirements of a Probability Distribution is ?

Q: Probability theory forms a central part of the design of Reliability engineering. in

A: # probability theory forms a central part of design of highly reliable system in reliability…

Q: what is the probability that the system fails?

A: here given , five component in diagram  A and B are in series  C , D and E are in series  p(A) =…

Q: If you sum the probabilities of the possible values of a discrete random variable, the result always…

A: The requirements for a discrete probability distribution are,

Q: Create a scenario from your own experiences that can be used to model a probability problem with…

A: Let there are 10 blue marbles and 10 red marbles in a bag. We draw a marble and notice its color,…

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.