please show formulas and don’t
use excel
Homework Answers
1) 0.9233 - Binomial(x,n,p)
2) 0.0541 - Lognormal(mu,Sigma)
3) 0.3182 - hypergeometric (x,n,M,N)
4) 0.3679 - weibull(alpha,beta)
5) 0.2430 - gamma(alpha,beta)
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please show formulas and don’t
use excel
Question 23 (1 point) Evaluate the following distributions and...
Gamma, Exponential, Weibull and Beta Distributions (Part 3) 1. The random variable X can modeled by...
Gamma, Exponential, Weibull and Beta Distributions (Part
3)
1. The random variable X can modeled by a Weibull distribution with B = 1 and 0 = 1000. The spec time limit is set at x = 4000. What is the proportion of items not meeting spec? 2. Suppose that the response time X at a certain on-line computer terminal (the elapsed time between the end of a user's inquiry and the beginning of the system's response to that inquiry) has...
show excel formulas please 2. Discrete and Continuous Probability Distributions: In the following three parts, write...
show excel formulas please
2. Discrete and Continuous Probability Distributions: In the following three parts, write the formula and value for the cases shown. (a) X is the binomial random variable with n = 50 and p = 0.65. [8 points) Case Excel Formula Value PIX> 25) P(X < 35) OMBE 2787 Makeup Test Summer 2020 (b) Suppose that a bank receives an average of 7 bad checks per day and this process can be modeled as a Poisson distribution....
4. Show the PDF and CDF of two-parameters of Weibull distribution (1) Use MATLAB to plot...
4. Show the PDF and CDF of two-parameters of Weibull distribution (1) Use MATLAB to plot three Weibull PDFS with the parameters (a) 7 = 100,B = 1.25 ; (b) 100, B 4 and (c) 10,B 1.25 (2) For the Weibull distribution with the distribution parameter 7 = 20, B =1.5, calculate its = mean and standard deviation (3) For the Weibull distribution with the distribution parameter ) = 20, B =1.5, calculate the probabilities: PCX<80), PCX<40), P(10<X<90)
4. Show...
Use only the Excel functions (no calculator). I need to see all Excel formulas to give...
Use only the Excel functions (no calculator). I need to see all Excel formulas to give you a full credit. 1. (Sheet #1) (10 points) Use the following categorical frequency distribution to answer each problem. Top Cell Phone Providers Verizon US Cellular T-Mobile Sprint Other AT&T Number of Students 271 87 206 177 35 224 a. (4 pts) Create a pie chart and pareto chart. b. (3 pts) Add two more columns: Relative Frequency (rf) and Cumulative Relative Frequency (ert)....
Use only the Excel functions (no calculator). I need to see all Excel formulas to give...
Use only the Excel functions (no calculator). I need to see all
Excel formulas to give you a full credit. Give answers to the 4th
decimal place.
1. (Sheet #1) (10 points) Use the following categorical
frequency distribution to answer each problem. a. (4 pts) Create a
pie chart and pareto chart. b. (3 pts) Add two more columns:
Relative Frequency (rf) and Cumulative Relative Frequency (crf).
Calculate rf and crf. c. (1 pt.) Find a mean. d. (1 pt.)...
Please use R to solve question 1. Question 1 5 pts Binomial distribution: X~Bi(n=15,p=0.3). Evaluate Pr(2<x<7)...
Please use R to solve question 1.
Question 1 5 pts Binomial distribution: X~Bi(n=15,p=0.3). Evaluate Pr(2<x<7) and round to three decimal places (see Lab 2). Question 2 5 pts Poisson distribution: X~Poisson(lambda=4.5). Evaluate Pr(X<11) and round to three decimal places. Question 3 5 pts Assume that X is normally distributed (X-N(0,1)). Find Pr(X=3).
Please help show me how to run this in excel for Statics Example: 1) =NORM.INV() 2)...
Please help show me how to run this in excel for Statics Example: 1) =NORM.INV() 2) =NORM.INV() 3) =NORM.INV() 4) =NORM.INV() 5) =NORM.INV() 6) =NORM.INV() 7) =NORM.INV() 8) =NORM.INV() 9) =NORM.INV() 10) =NORM.INV() This is the Statics Question: For questions 1-5, X1, X2, ... , X23 is a random sample from a distribution with mean μ = -1.02 and variance σ2 = 0.62. For questions 5-10, X1, X2, ... , X28 is a random sample from a distribution with mean...
Will rate!! Show good work plz! Only need help on problems that do NOT involve R...
Will rate!!
Show good work plz!
Only need help on problems that do NOT involve R
simulation
Part 3. (13 points) Simulation of Gamma Random Variables Background: When we use the probability density function to find probabilities for a random variable, we are using the density function as a model. This is a smooth curve, based on the shape of observed outcomes for the random variable. The observed distribution will be rough and may not follow the model exactly. The...
Point estimates often need to be nested in layers of analysis, and it is the Invariance...
Point estimates often need to be nested in layers of analysis, and it is the Invariance Principle that provides a pathway for doing so. An example would be estimating Mu after having to estimate Alpha and Beta for some distributions. In simpler statistics class exercises (like those we've seen up until now), this is typically avoided by providing the lower level parameters within exercises or problems (eg, asking you for Mu by giving you the Alpha and Beta). The only...
Determine the mean and standard deviation of the variable X in each of the following binomial...
Determine the mean and standard deviation of the variable X in each of the following binomial distributions. a. n = 4 and a = 0.10 b. n = 5 and a = 0.80 c. n=5 and a = 0.10 d. n = 4 and a = 0.80 Assume a Poisson distribution. a. If a = 2.5, find P(X = 1). c. If a = 0.5, find P(X = 4). b. If 1 = 8.0, find P(X = 5). d. If...
Gamma, Exponential, Weibull and Beta Distributions (Part
3)
1. The random variable X can modeled by a Weibull distribution with B = 1 and 0 = 1000. The spec time limit is set at x = 4000. What is the proportion of items not meeting spec? 2. Suppose that the response time X at a certain on-line computer terminal (the elapsed time between the end of a user's inquiry and the beginning of the system's response to that inquiry) has...
show excel formulas please
2. Discrete and Continuous Probability Distributions: In the following three parts, write the formula and value for the cases shown. (a) X is the binomial random variable with n = 50 and p = 0.65. [8 points) Case Excel Formula Value PIX> 25) P(X < 35) OMBE 2787 Makeup Test Summer 2020 (b) Suppose that a bank receives an average of 7 bad checks per day and this process can be modeled as a Poisson distribution....
4. Show the PDF and CDF of two-parameters of Weibull distribution (1) Use MATLAB to plot three Weibull PDFS with the parameters (a) 7 = 100,B = 1.25 ; (b) 100, B 4 and (c) 10,B 1.25 (2) For the Weibull distribution with the distribution parameter 7 = 20, B =1.5, calculate its = mean and standard deviation (3) For the Weibull distribution with the distribution parameter ) = 20, B =1.5, calculate the probabilities: PCX<80), PCX<40), P(10<X<90)
4. Show...
Use only the Excel functions (no calculator). I need to see all Excel formulas to give you a full credit. 1. (Sheet #1) (10 points) Use the following categorical frequency distribution to answer each problem. Top Cell Phone Providers Verizon US Cellular T-Mobile Sprint Other AT&T Number of Students 271 87 206 177 35 224 a. (4 pts) Create a pie chart and pareto chart. b. (3 pts) Add two more columns: Relative Frequency (rf) and Cumulative Relative Frequency (ert)....
Use only the Excel functions (no calculator). I need to see all
Excel formulas to give you a full credit. Give answers to the 4th
decimal place.
1. (Sheet #1) (10 points) Use the following categorical
frequency distribution to answer each problem. a. (4 pts) Create a
pie chart and pareto chart. b. (3 pts) Add two more columns:
Relative Frequency (rf) and Cumulative Relative Frequency (crf).
Calculate rf and crf. c. (1 pt.) Find a mean. d. (1 pt.)...
Please use R to solve question 1.
Question 1 5 pts Binomial distribution: X~Bi(n=15,p=0.3). Evaluate Pr(2<x<7) and round to three decimal places (see Lab 2). Question 2 5 pts Poisson distribution: X~Poisson(lambda=4.5). Evaluate Pr(X<11) and round to three decimal places. Question 3 5 pts Assume that X is normally distributed (X-N(0,1)). Find Pr(X=3).
Will rate!!
Show good work plz!
Only need help on problems that do NOT involve R
simulation
Part 3. (13 points) Simulation of Gamma Random Variables Background: When we use the probability density function to find probabilities for a random variable, we are using the density function as a model. This is a smooth curve, based on the shape of observed outcomes for the random variable. The observed distribution will be rough and may not follow the model exactly. The...
Point estimates often need to be nested in layers of analysis, and it is the Invariance Principle that provides a pathway for doing so. An example would be estimating Mu after having to estimate Alpha and Beta for some distributions. In simpler statistics class exercises (like those we've seen up until now), this is typically avoided by providing the lower level parameters within exercises or problems (eg, asking you for Mu by giving you the Alpha and Beta). The only...
Determine the mean and standard deviation of the variable X in each of the following binomial distributions. a. n = 4 and a = 0.10 b. n = 5 and a = 0.80 c. n=5 and a = 0.10 d. n = 4 and a = 0.80 Assume a Poisson distribution. a. If a = 2.5, find P(X = 1). c. If a = 0.5, find P(X = 4). b. If 1 = 8.0, find P(X = 5). d. If...
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