经济学Final exam代考 ECON 2B03代写

ECON 2B03

Final Examination: Respondus Software, Topics Covered

经济学Final exam代考 Before starting the test, know how much time is available for it, and also that you’ve allotted sufficient time to complete it

Respondus LockDown Browser + Webcam I

In order to maintain a level playing field and deter the use ofreference material that would normally be out of reach during a traditional proctored exam environment, McMaster has adopted Respondus LockDown Browser + Webcam
The brief video link below provides a basic understanding of LockDown Browser and the webcam feature
https://www.respondus.com/products/lockdown-browser/student- movie.shtml
A practice quiz was created that you are to complete which allowsyou to undertake a zero stakes “dry run” for using the Respondussoftware during the exam (ignore this at your peril!)
If you encounter issues with Respondus LockDown Browser +Webcam during the exam, do not email the instructor, instead use theonline Help and Live Chat facilities embedded in the browser’s toolbar

Respondus LockDown Browser + Webcam II 经济学Final exam代考

The following guidelines have been provided by the Respondus software team (they appeared in the course announcement for the practice exam but are repeated here as a reminder)
Ensure you’re in a location where you won’t be interrupted
Turn off all other devices (e.g. tablets, phones, second computers) and place them outside of your reach
Before starting the test, know how much time is available for it, and also that you’ve allotted sufficient time to complete it 经济学Final exam代考
Clear your desk or workspace of all external materials not permitted – books, papers, other devices
Remain at your computer for the duration of the test
If the computer, Wi-Fi, or location is different than what was used previously with the “Webcam Check” and “System & Network Check” in LockDown Browser, run the checks again prior to the exam
To produce a good webcam video, do the following:

Respondus LockDown Browser + Webcam III

Avoid wearing baseball caps or hats with brims
Ensure your computer or device is on a firm surface (a desk or table)
Do NOT have the computer on your lap, a bed, or other surface where the device (or you) are likely to move
If using a built-in webcam, avoid readjusting the tilt of the screen after the webcam setup is complete
Take the exam in a well-lit room, but avoid backlighting (such as sitting with your back to a window)

Final Exam Details & Coverage I 经济学Final exam代考

All assignments dealt with a select number of topics from weeks 1-12 and by the last day of class all will have been graded and returned to you (assignments 1-4 were graded and returned previously,assignment 5 will be graded and returned by the last day of class)
The Final Examination will cover material from weeks 1-12 Make sure you are comfortable with all assignments, the material 经济学Final exam代考
summarized below, the course slides dealing with this material and the course text that deals with the same
If you are looking for practice questions in addition to the assignments, see the online text that has hundreds of sample questions and sample quiz questions along with their answers
The exam is the same format as the assignments (a handful of definitions and a handful of written answer questions – no multiple choice questions will be used)

Final Exam Details & Coverage II

You will not be tested on using R nor will you have to use R Markdown during the exam (you simply type your responses in the space provided in A2L’s quiz environment)
A digital calculator is available in the LockDown Browser toolbar for you to use should you require it
The exam is closed-book and you are not allowed to use any external aids whatsoever (no scrap paper, hand-held calculator, etc.)
You have 150 minutes allotted as the time requirement
Make sure you are familiar with the MSAF policy which is clearly outlined in the course syllabus (and repeated in the practice quiz)
The slides that follow enumerate many of the main topics we covered in weeks 1-12

Week 1 – tabular presentation of data I 经济学Final exam代考

Statistics
Descriptive statistic
s Inferential statistics
Population
Sample
Random sample
Qualitative population
Quantitative population
Univariate data set
Bivariate data set
Multivariate data set
Nominal data

Week 1 – tabular presentation of data II

Ordinal data
Nonprobability sample
Voluntary response sample
Convenience sample
Judgment sample
Probability Sample
Simple random sample
Systematic random sample
Stratified random sample
Clustered random sample
Systematic error
Selection bias

Week 1 – tabular presentation of data III 经济学Final exam代考

Nonresponse bias
Response Bias
Experiments
Absolute frequency distributions
Relative frequency distributions
Cumulative frequency distributions
Cross tabulations

Week 2 – Graphical presentation of data I

Frequency histograms
Frequency polygons
Scatter diagrams
Central tendency measures
Dispersion measures
Shape measures
fivenum summary

Week 3 – distributions, inference, probability I 经济学Final exam代考

Boxplots
Sampling versus census
Chebyshev’s Theorem
Statistical inference
Theory of probability
Random experiment
Sample space
Simple event Composite event
Mutually exclusive events
Collectively exhaustive events
Complementary events

Week 3 – distributions, inference, probability II

Unions of events
Intersections of events
Objective probability
Subjective probability
Permutations Combination
Probability of a simple event
Probability of an event
General Addition Law

Week 4 – probability, discrete random variables I

Unconditional probability
Conditional probability
Joint probability
Unconditional from Joint Probability Rule
Joint probability table
General Multiplication Law 经济学Final exam代考
Bayes’ Theorem
Prior probabilities
Posterior probability
Random variable
Discrete probability distribution
Cumulative distribution function

Week 4 – probability, discrete random variables II 经济学Final exam代考

Mean of a discrete random variable
Expected value of a function of a discrete random variable
Variance of a discrete random variable
Standard deviation of a discrete random variable
Bernoulli process
Binomial probability distribution

Week 5 – continuous random variables I

Continuous random variables
Probability density function
Uniform distribution
Normal (‘Gaussian’) distribution

Week 6 – sampling distributions I

Estimator
Estimate
Sampling distribution
Bias
Efficiency
Minimum variance unbiased estimator
Consistency
Mean Square Error (MSE)
Central Limit Theorem (CLT)

Week 7 – confifidence intervals I 经济学Final exam代考

Point versus interval estimation
Confidence intervals
population means population proportions
difference between population
means difference between population proportions

Weeks 8 & 9 – hypothesis tests I

Hypothesis
Null versus alternative hypothesis
Simple versus composite hypothesis
Type I versus Type II errors
Statistical versus practical decision
Test statistic
Decision rule
Critical region
Critical values
Level of significance
Power of a test
P-value

Weeks 8 & 9 – hypothesis tests II

One sample tests

-population means

-population proportions

Two sample tests

-difference between population means

-difference between population proportions

χ² tests

-goodness of fit

-test of independence

-confidence intervals for population variances

Weeks 10-12 – introduction to regression analysis

Simple regression analysis
Independent variable
Dependent variable
Deterministic relationship
Stochastic relationship
Direct versus inverse relationship
Least squares regression line
Coefficient of determination (R2)
Forecast confidence intervals
Multiple regression analysis
Categorical predictors
Tests of significance

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