MAT 144 Grand Canyon University San Diego Homelessness Mathematics Worksheet
Help with assignment!
Important key details:
– my project will be helping the homeless providing them with sanitary/hygiene products/non perishable food/ clean under garments (socks underwear bras) etc.
– my organization will take place in San Diego Ca.
Grossment College Unemployment in Times of Economic Downturn Worksheet
1. Watch the lecture by Dr. Gloria Ladson-Billings. It is about one hour and twenty minutes. Write a half-page single space reflection.
2. In the climate change problem there was an inherent feedback loop that, when the de-regulation parameter changed, the system was bumped into a new normal (which is not a better new normal for the planet). As you saw, this new normal is not easily reversed. This phenomenon is known as hysteresis, which represents the history dependence of physical systems. If you push on something (or change a parameter in the system), it will yield: when you release (or reset the parameter), does it spring back completely? If it doesn’t, it is exhibiting hysteresis.
Pick one of three contexts below and discuss how the context might reflect a similar situation where a parameter change could bump the system into a new normal, one that is not easily reversed. Create a hypothetical phase line and explain how the phase line describes the context.
Context 1: The parameter k is related to the ratio of counselors to cops and the dependent variable is high school graduation for historically marginalized students.
Context 2: The parameter k is related to shifting funding from law enforcement to social programs (housing security, food security) and the dependent variable incarceration rate of historically marginalized groups.
Context 3: (Un)employment in times of economic downturn. See Wikipedia entry: 7.1 Permanently higher unemployment
Building Frequency Distributions
Complete the excel document to its full extent and label all of the charts completely. Graphs should be constructed this way:
Week 2 discussion prompt
A Linear Equation is a rule that assigns to each number x on the x-axis exactly one number y on the y – axis so that the ordered pairs (x,y) form a line. We call y the Dependent Variable and we call x the Independent Variable because the value assigned to y by the linear equation will depend on the value selected for x.
Now consider this scenario: we can burn 4 calories by walking 100 steps. The linear equation modeling this scenario is C=0.04*S where C is the dependent variable and S is the independent variable. Here, C represents calories burned for some number of steps S walked.
You will create a new linear model that shows the amount of calories burned in a given day during some activity you choose, compensating for food intake. Produce a model with a reasonable rate of calorie burn for walking, running, or some other activity, and account for a daily calorie intake between 1200 and 3000 calories. Be sure to describe the detailed scenario for which your equation models. Conclude your post by rewording the following questions to fit your scenario:
1) How many calories have been burned after 1 typical session of activity?
2)How much activity does it take to burn all the calories eaten in one day?
MAT 1222 Rasmussen College Compute the Values Fundraising Problem Algebra Ques
Please see the attachment fr the questions
Review the slideshow assignment. After reviewing the slideshow, answer the three questions provided. Remember to type and save your assignment as a Microsoft Word document and show all your work and explanations.
Find the Values Using Factorization Theorem Probability Questions
1. Suppose that x1, x2, x3, x4, is a sample drawn from the uniform distribution f(x;θ):= 1/ θ if x∈[1,1+θ], or
0 otherwise,
where θ is an unknown parameter. Let y1, y2, y3, y4 be the associated order statistics.
(a) Find an expression for the joint likelihood function f(x1, x2, x3, x4; θ).
(b) Is y2 a sufficient statistic for θ? Give a brief explanation of your answer.
(c) Now suppose that x1 = 5, x2 = 3, x3 = 4, x4 = 2. Find the maximum likelihood estimate of θ.
(d) Using the values from part (c), find the method of moments estimate for θ. (Hint: there is only one parameter so you only need to compute the first moment).
2. Suppose that X1, . . . Xn are i.i.d. random variables with probability density function
f(x,θ) = θe^(−θx ) if x≥0 or 0 otherwise.
(a)Give an expression for the joint likelihood function f(x1, . . . , xn; θ).
(b) Show that the sample mean is a sufficient statistic for θ.
3. Suppose you collect a sequence of data points (x1,y1),…,(xn,yn) and you use least squares regression to find the values of α0 and α1 so that the line y = α1x + α0 gives the best match to the data. Show that if the data points already lie on a line y = mx+b i.e. (yi = mxi +b for i = 1, . . . , n), then least squares regression chooses the parameters α0 = b and α1 = m.
4. Suppose you are playing a random game that has three possible outcomes WIN, LOSE or DRAW. The probability of winning the game is an unknown parameter θ ∈ [0, 1], losing and drawing have equal probability 12 (1 − θ). Suppose you have a prior on the data that is given by h(θ) = 2θ.
(a) Suppose that it costs $5 to play the game, you get $15 dollars if you win, nothing if you draw, and you have to pay an additional $2 if you lose. Based on the prior distribution would you play the game? Explain.
(b) Now suppose you observe the following sequence of (independent) game out- comes: WIN, LOSE, DRAW, DRAW, WIN, LOSE, WIN, LOSE, DRAW, DRAW. Give an expression for the posterior distribution of θ.
(c) Based on the posterior distribution would you play the game?
(d) Would your answer to part (c) change if you had observed the following sequence of (independent) game outcomes instead: WIN, LOSE, LOSE, LOSE, WIN, LOSE, WIN, LOSE, LOSE, LOSE. Give a brief explanation of your reasoning.
Stevens Institute of Technology Optimization Models & Methods in Finance Question
Rasmussen College Salary Distributions of Jobs in Minnesota Worksheet Question
I’m working on a statistics spreadsheet and need an explanation to help me understand better.
Scenario (information repeated for deliverable 01, 03, and 04)
A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:
Deliverable 3 – Confidence Intervals.xlsx
You have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.
The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.
Your boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
MAT 232 Ashford University Week 5 Statistical Literacy Worksheet
Hello. I was hoping that you would be able to help me solve a few problems as I have completed majority of it, but I am stuck on these last few. I have attached the questions that I need assistance with along with examples of the questions as a couple of them are two parts. Thank you
