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## Score Better   ### Select a fictional character from literature, TV, movies, etc that you believe has a personality disorder. Describe the behaviors that the character demonstrates that match the personality disorder you believe the character has. Can I have 3-4 paragraphs please

Select a fictional character from literature, TV, movies, etc
that you believe has a personality disorder. Describe the behaviors
that the character demonstrates that match the personality disorder
you believe the character has.
Can I have 3-4 paragraphs please

### (11) (10 points) Add the indexes and summation signs to the following expressions written using the Einstein summation convention and simplify them. All indexes range from 1 to ( N ). (a) (b) ( delta_{s}^{p} delta_{p}^{s} ) ( frac{partial x^{p}}{partial bar{x}^{r}} frac{partial bar{x}^{r}}{partial x^{q}} ) (c) ( frac{partial

(11) (10 points) Add the indexes and summation signs to the following expressions written using the Einstein summation convention and simplify them. All indexes range from 1 to ( N ). (a) (b) ( delta_{s}^{p} delta_{p}^{s} ) ( frac{partial x^{p}}{partial bar{x}^{r}} frac{partial bar{x}^{r}}{partial x^{q}} ) (c) ( frac{partial

### For the above data calculate: ( 2.1 ) the mean ( 2.2 ) Mode ( 2.3 ) Median ( 2.480^{text {th }} ) percentile ( 2.5 ) coefficient of variation

For the above data calculate: ( 2.1 ) the mean ( 2.2 ) Mode ( 2.3 ) Median ( 2.480^{text {th }} ) percentile ( 2.5 ) coefficient of variation

### 5. Let ( mathrm{c} ) and ( mathrm{d} ) be non-zero numbers, and let ( left{left(mathrm{x}_{1}, mathrm{y}_{1}right),left(mathrm{x}_{2}, mathrm{y}_{2}right), ldots,left(mathrm{x}_{mathrm{N}}, mathrm{yN}_{mathrm{N}}right)right} ) be a set of bivariate data. Consider the related set ( left{left(mathrm{cx}_{1},

5. Let ( mathrm{c} ) and ( mathrm{d} ) be non-zero numbers, and let ( left{left(mathrm{x}_{1}, mathrm{y}_{1}right),left(mathrm{x}_{2}, mathrm{y}_{2}right), ldots,left(mathrm{x}_{mathrm{N}}, mathrm{yN}_{mathrm{N}}right)right} ) be a set of bivariate data. Consider the related set ( left{left(mathrm{cx}_{1},

### 4. Evaluate for the integral estimate of the function from ( x=0 ) up to ( x=8.4 ) using multiple application Boole’s rule for ( n=16 ) segments. 5. Improve the Trapezoidal rule integral estimate of the function from (1) using Romberg Integration. 6. Evaluate for the derivative estimate of the function at ( x i=7.2 ) using the step sizes ( h=0.0 )

4. Evaluate for the integral estimate of the function from ( x=0 ) up to ( x=8.4 ) using multiple application Boole’s rule for ( n=16 ) segments. 5. Improve the Trapezoidal rule integral estimate of the function from (1) using Romberg Integration. 6. Evaluate for the derivative estimate of the function at ( x i=7.2 ) using the step sizes ( h=0.0 )

### 4. (25 pts) Let ( A=left[begin{array}{ccc}2 & 2 & 10 \ 0 & 3 & -4 \ 0 & 4 & 3end{array}right] ). (a) (15 pts) Use the Gram-Schmidt process to compute the ( mathrm{QR} ) decomposition of ( A ). (b) (10 pts) Let ( B=R Q ) where ( A=Q R ) be the ( mathrm{QR} ) decomposition calculated in (a). Prove that ( B ) and ( A ) have the same

4. (25 pts) Let ( A=left[begin{array}{ccc}2 & 2 & 10 \ 0 & 3 & -4 \ 0 & 4 & 3end{array}right] ). (a) (15 pts) Use the Gram-Schmidt process to compute the ( mathrm{QR} ) decomposition of ( A ). (b) (10 pts) Let ( B=R Q ) where ( A=Q R ) be the ( mathrm{QR} ) decomposition calculated in (a). Prove that ( B ) and ( A ) have the same

### To determine the aquifer characteristic of a shallow well area, pumping tests we conducted. It was established that an STW will be pumped at a constant ( Q=300 mathrm{gpr} ) To get that desired ( mathrm{Q} ), how many inches should be the horizontal axis ( (mathrm{x}) ) of the ( mathrm{L} )-ruler the vertical axis ( (mathrm{y}) ) is fixed at 4

To determine the aquifer characteristic of a shallow well area, pumping tests we conducted. It was established that an STW will be pumped at a constant ( Q=300 mathrm{gpr} ) To get that desired ( mathrm{Q} ), how many inches should be the horizontal axis ( (mathrm{x}) ) of the ( mathrm{L} )-ruler the vertical axis ( (mathrm{y}) ) is fixed at 4

### Outline the simple Jacobi iteration scheme for solving matrix equations of the form Ax = b where the square matrix A and the column vector b are known. What condition must be met for this to be a convergent scheme for any starting guess of the solution? Give an indication of at least one way that the basic scheme may be improved.

Outline the simple Jacobi iteration scheme for solving matrix equations of the form Ax = b where the square matrix A and the column vector b are known. What condition must be met for this to be a convergent scheme for any starting guess of the solution? Give an indication of at least one way that the basic scheme may be improved.

### simple graph representing a network with 10 nodes with the following degree distribution [ p=(0,0.1,0.4,0.2,0.2,0,1,0,0,0,0) ] b) (4 marks) writing explicitly the sets of nodes, links and the incidence function.

simple graph representing a network with 10 nodes with the following degree distribution [ p=(0,0.1,0.4,0.2,0.2,0,1,0,0,0,0) ] b) (4 marks) writing explicitly the sets of nodes, links and the incidence function.

### Explain the reason for using Importance Sampling in Monte Carlo methods. Outline the key elements. of how the Metropolis algorithm may be used to generate a sequence of deviates Gamma_{i} drawn from a known probability density distribution p(Gamma) Explain why the sequence of deviates produced will contain sequential correlation, and what might be done in

Explain the reason for using Importance Sampling in Monte Carlo
methods. Outline the key elements. of how the Metropolis algorithm
may be used to generate a sequence of deviates Gamma_{i} drawn from
a known probability density distribution p(Gamma) Explain why the
sequence of deviates produced will contain sequential correlation,
and what might be done in

#### Solve problem 4 using MATLAB. And paste code and output screenshot here: Solution of problem 3 is also attached at end to solve problem 4 problem3 Solution

Solve problem 4 using MATLAB. And paste code and output
screenshot here:
Solution of problem 3 is also attached at end to solve
problem 4

problem3
Solution

custom answer show all workings plsexcel sheet attached 3. A university wants to know what proportion of students are regular bike riders so that they can install an appropriate number of bike racks. The spreadsheet bike. csv contains the result of survey conducted in 20 classes. Here N is a class size and n is

custom answer write a brief overview of a proposed theory. The proposal is on how management affects students performance in UGBS Online Class Handlers: Advanced Math, Advanced Math questions and answers, homework help, Math

custom answer please Help me Instructions: Below are some typical answers students have submitted in the past. Describe the mistake(s) in your own words. What grade (percentage) would you give a student making this mistake? In deciding the grade, consider the following: how ‘big’ is the mistake, how does the mistake compare to the others

#### An economist wants to determine whether average price/earnings (P/E) ratios differ for firms in three industries. Independent samples of five firms in each industry produced the following results after conducting a one-way ANOVA. SSB (sum of squares between groups) = 258.82 and SST (sum of squares total) = 424.04. Based on this information, what would be the

An economist wants to determine whether average price/earnings
(P/E) ratios differ for firms in three industries. Independent
samples of five firms in each industry produced the following
results after conducting a one-way ANOVA. SSB (sum of squares
between groups) = 258.82 and SST (sum of squares total) = 424.04.
Based on this information, what would be the

#### Why would a t-test be used for statistical analysis of surveys?

Why would a t-test be used for statistical analysis of surveys?

#### A financial security generates a cash flow of \$25,000 every five years forever with the first cash flow occurring in 3 years’ time. The appropriate opportunity cost is 12% p.a. compounded annually. What should be the security’s price today?

A financial security generates a cash flow of \$25,000 every five
years forever with the first cash flow occurring in 3 years’ time.
The appropriate opportunity cost is 12% p.a. compounded annually.
What should be the security’s price today?

#### 6. Find vectors ( mathbf{v}, mathbf{w} in mathbb{C}^{1} ) so that ( mathbf{w} ) is a complex scalar multiple of ( mathbf{v} ) but not a real scalar multiple.

6. Find vectors ( mathbf{v}, mathbf{w} in mathbb{C}^{1} ) so that ( mathbf{w} ) is a complex scalar multiple of ( mathbf{v} ) but not a real scalar multiple.

#### find the root mean square as shown in the formula of the given data

find the root mean square as shown in the formula of the given data

#### Was wondering how to do a where statement for months between 4 and 11 and also help with the question after

Was wondering how to do a where statement
for months between 4 and 11
and also help with the question after