Tag: Mathematics

I have a FExam Thursday and I need ur help it’s 20 questions on 8 more than the previous and it on 7:00 pm Phoenix Arizona time.Here is the study guide https://math.asu.edu/sites/default/files/mat_210_final_exam_review.pdf

I don’t know how to handle this Statistics question and need guidance.

1. Please define each of the following terms and provide a hypothetical example for each: hypothesis testing, null and alternative hypothesis, non-directional and directional hypothesis, type I error in testing hypothesis, type II error in testing hypothesis, probability of type I error (?), probability of type II error (ß), power of the test and its significance, the critical value(s) in a test, p value (significance level).
2. What are the possible outcomes in testing a hypothesis? What are the determinant factors in deciding the critical value(s) in testing a hypothesis?
3. When the z-statistic is appropriate to be used in testing a hypothesis? When the t-statistic is appropriate to be used in testing a hypothesis? What is the criterion for rejecting the null hypothesis for both non-directional and directional tests? How do you find the p-value in each case?

I need help especially on part B,C, and D

A woman has up to $10000 to invest. Her broker suggests investing in two bonds: Bond A , and Bond B. Bond A is a rather risky bond with an annual yield of $10\%$ and bond B is a rather safe bond with an annual yield of $7\%$. After some consideration, she decides to invest at most $\$6000$ in bond A , and invest at least $\$2000$ in bond $B.$ Moreover, she wants to invest at least as much in bond A as in bond B. She wishes to maximize her annual yield.

a) In each blank box below, select the best answer from the list that helps complete the objective function and its associated constraint inequalities. Please note that the option <= indicates $\le$ , and the option >= indicates ≥.

R= [ Select ] [“0.07“, “6000“, “0.1“, “10000“, “2000“, “Correct answer is not listed“] A+ [ Select ] [“Correct answer is not listed“, “10000“, “2000“, “0.1“, “6000“, “0.07“] B$$

A+ [ Select ] [“Correct answer is not listed“, “2“, “1“, “0.07“, “0.01“, “2000“, “6000“] B [ Select ] [“<=“, “>=“, “=“, “Correct answer is not listed“] 10000$\mathrm{}$

A [ Select ] [“Correct answer is not listed“, “<=“, “=“, “>=“] 6000$\mathrm{}$

B [ Select ] [“Correct answer is not listed“, “<=“, “>=“, “=“] 2000$\mathrm{}$

A [ Select ] [“Correct answer is not listed“, “<=“, “>=“, “=“] B$$

b) Use the geometric approach (with A placed on the x-axis and B on the y-axis) to determine the coordinates of the corner points of the solution region. Then, select the answer from this list: [ Select ] [“(6000,4000) , (6000,2000) , (8000,2000)“, “(0,0) , (0,10000) , (10000,0)“, “Correct answer is not listed“, “(0,10000) , (0,2000) , (6000,2000) , (6000,4000)“, “(6000,0) , (6000,2000) , (8000,2000) , (10000,0)“, “(0,0) , (0,2000) , (6000,2000) , (6000,0)“, “(6000,0) , (6000,4000) , (10000,0)“]

c) Which of the feasible corner points you selected in part (b) above maximizes the objective function? Note that a feasible corner point is any corner point with at least one non-zero coordinate. Select the answer from this list: [ Select ] [“(6000,0)“, “Correct answer is not listed“, “(8000,2000)“, “(6000,4000)“, “(0,10000)“, “(6000,2000)“, “(10000,0)“]

d) What is the maximum yield? [ Select ] [“$740“, “$840“, “Correct answer is not listed“, “$700“, “$800“, “$920“, “$880“]

Extreme Sports, Advertising and Your Brain (A)

Case 2.5 (page 132)

To do:

1- read the case and summarize it in two (2) paragraphs.

2- discuss the 5 questions at the end of the case in detail, providing supporting arguments, references, examples, etc. 

In everyday terms, a confidence interval is the range of values around a sample statistic (such as mean or proportion) within which clinicians can expect to get the same results if they repeat the study protocol or intervention, including measuring the same outcomes the same ways. As you ask yourself, “Will I get the same results if I use this research?”, you must address the precision of study findings, which is determined by the Confidence Interval. If the CI around the sample statistic is narrow, you can be confident you will get close to the same results if you implement the same research in your practice.

Consider the following example. Suppose that you did a systematic review of studies on the effect of tai chi exercise on sleep quality, and you found that tai chi affected sleep quality in older people. If, according to your study, you found the lower boundary of the CI to be .49, the study statistic to be 0.87, and the upper boundary to be 1.25, this would mean that each end limit is 0.38 from the sample statistic, which is a relatively narrow CI.

(UB + LB)/2 = Statistic [(1.25 + .49)/2 = .87]

Keep in mind that a mean difference of 0 indicates there is no difference; this CI does not contain 0. Therefore, the sample statistic is statistically significant and unlikely to occur by chance.

Because this was a systematic review, and tai chi exercise has been established from the studies you assessed as helping people sleep, based on the sample statistics and the CI, clinicians could now use your study and confidently include tai chi exercises among possible recommendations for patients who have difficulty sleeping.

Now you can apply your knowledge of CIs to create your own studies and make wise decisions about whether to base your patient care on a particular research finding.Thinking of the many variables tracked by hospitals and doctors’ offices, confidence intervals could be created for population parameters (such as means or proportions) that were calculated from many of them. Choose a topic of study that is tracked (or that you would like to see tracked) from your place of work. Discuss the variable and parameter (mean or proportion) you chose, and explain why you would use these to create an interval that captures the true value of the parameter of patients with 95% confidence.

Consider the following:

How would changing the confidence interval to 90% or 99% affect the study? Which of these values (90%, 95%, or 99%) would best suit the confidence level according to the type of study chosen? How might the study findings be presented to those in charge in an attempt to affect change at the workplace?

Instructions: Please answer all 61 Practice Exam questions through Excel. Show your work for each calculation question so I can see the formulas.

Questions 1-5 will use ( Datafile-8 ) I provided down below.

Questions 6-9 will use ( Salaries-8 ) I provided down below as well.

Describe the steps to graphing a linear equation. Be sure to provide an example to illustrate your description.

Describe the steps to graphing a quadratic equation. Be sure to provide an example to illustrate your description.

Describe how to solve a linear equation. Be sure to provide an example to illustrate your description. 

Describe how to solve a quadratic equation. Be sure to provide an example to illustrate your description. 

Compare and contrast slope and average rate of change.

Identify the characteristics of the graph of a quadratic equation.

Give a real life application of a quadratic function.

I’m stuck on a Differential Equations question and need an explanation.

Solve these for me please and show the explanations. Thank you so much.

1- Use the method of undetermined coefficients to find one solution of: y”- y’- y = 2e^(2t)

y(t) = ?

2- Find the solution of y”+7y’ = 392 sin(7t) + 392 cos(7t)

with y(0) = 2 and y'(0) = 9

y = ?

Can you help me with these 3 questions? I need to turn it in by 5 pm est. I still have 12 hours to finish. I finished most of the questions. There is only 3 questions left. I will attach pdf lectures and these 3 questions below. Thanks in advance.