Final Project Instructions

/in /by

 

 

You will prepare the classroom management plan for a specific classroom. If you are currently teaching, you should prepare the plan for your own classroom. If you are not currently teaching in your own classroom, please build your project around your vision of the ideal classroom you plan to have. Please write in present tense from the perspective of you as the assigned teacher. It is not necessary to observe someone else’s classroom for this assignment.

 

The bulk of resources from which you draw your information for this assignment should come from our course texts, class assignments, module presentations, etc. Specific details about what to include in the Final Project are included in the accompanying rubric. You must create your plan using Microsoft Word.

The final presentation for this assignment should consist of 12 sections to coincide with the 12 components in the rubric. Please arrange your sections in the same order in which they are presented on the rubric.

Some tips…..

 

Philosophy

The section “Determining Your Management Plan” at the end of chapter 2 is a good place to start when considering your philosophy. If you don’t already have your philosophy for classroom management and discipline in place, you should start with the models of discipline discussed here. A teacher’s philosophy is based in the degree of control he/she plans to exercise in the classroom. Once this is determined, then you can begin to think about things such as your teaching style, student motivation, how you will respond to misbehavior, etc.

 

Classroom Arrangement

This section discusses how your classroom is arranged, not decorated. Décor is certainly acceptable, but the focus should be on the physical arrangement. Example should be pictorial.

 

Classroom Procedures

Focus is on procedures, not schedules. Include the teaching strategies you will use to ensure student learning.

 

Rules

List form is acceptable.

 

Rewards and Consequences

List form is acceptable.

 

Record Keeping

This should be more than just a list of what your grade book entries are but it should also include an explanation of what is in your grade book, i.e., types of assignments, weights, frequency, etc. Other types of record keeping should also be included here, for example, your system of accountability for things such as conferences, conflicts, behavior, etc.

 

Examples and Attachments

The examples that you provide should be relative to the discussion of your classroom. All examples should be completed appropriately; blank examples will not receive full credit. This is also where you may submit additional and relevant information that pertain to your management plan.

 

Your Final Project nust be submitted via LiveText by 11:59 p.m. (ET) on Friday of Module/Week 8.

comment Tania

/in /by

 

  I NEED A POSITIVE COMMENT BASED IN THIS ARGUMENT.. BETWEEN 150-200 WORDS

 

 

Having an audience that has no idea about a statistics, is one of the hardest thing you can meet. Explaining analysis of variance to this kind of an audience, requires someone who is well conversant with statistics and can demonstrate too. One thing that will prefer to use to explain to any person who has no idea about something like analysis of variance is examples. Using examples to explain analysis is one of the best ways to explain it till the audience is brought to some light. The examples to be used in this lesson will be statistical sample tests or sample population (Sundaram, 2016). An example of population can suit the explanation very best as this will be related to the real world and it is easily applicable.

 The other way I can use to explain the analysis of variance is by use of models. The models shows the way the real things do happen and the factors that affects them. An example when two groups of students being taught by different teachers, definitely the students will perform differently. The fact that these groups are being taught by different teachers, shows that the models will have different views on the issue being taught. The model here being the students and the factor being different teachers. The results will be use to explain what the analysis of variance is.The other method that I can use to explain the analysis of variance to an audience that has never been to a statistics class before will be use of randomization. This technique will help to reveal to the audience what hypothesis that is used in experiment is. Through this, the audience will be able to understand the analysis of variance and what it contains (Owolabi, 2014).

Reference

Owolabi, J., & Adegoke, B. A. (2014). Multilevel analyis of factors predicting self efficacy in  computer programming. International Journal on Integrating Technology in Education,  3(2), 19-29.

Sundaram, S., & Rajesh, M. (2016). Non-Financial Determinants of Stock Market Prices–An  Empirical Analyis. PARIPEX-Indian Journal of Research, 5(4).

 

BUS 4025-8 : WEEK 5

/in /by

1.      For the following statements, state the null and alternative hypotheses and identify which represents the claim. Determine when a type I or type II error occurs for a hypothesis test of the claim. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed, and explain your reasoning. Explain how you should interpret a decision that rejects the null hypothesis. Explain how you would interpret a decision that fails to reject the null hypothesis.

a.      It is reported that the number of residents in Wisconsin who support plans to recall the governor is 48%.

b.      An Amish bakery store states that the average shelf life of their fresh baked goods is seven days.

c.      A soda manufacturer states that the average number of calories in the regular soda is less than 150 calories per serving.

The census figures show that the average income for a family in a rural region is approximately $34,860 per year. A random sample has a mean income of $33,566 per year, with a standard deviation of $1,245. At a sig. level of .0.01 is there enough evidence to reject the claim? Explain.

The employees in a grocery store are handing out samples of a certain brand of Pizza. This is the pizza company’s way of determining whether people like the brand of pizza and would prefer it over other brands. Do you think this type of sampling is representative of the population? Explain. Identify possible flaws or biases in this study

 

 

 

 

A researcher claims that taking a protein supplement as part of a weight gainer program for athletes will help them gain muscle weight. The weights in pounds of 10 athletes are listed below before and after using the protein supplement.   At a sig. of .05 can you conclude that this supplement helps the athletes gain weight?

 

 

Athlete

1

2

3

4

5

6

7

8

9

10

Weight Before

196

220

187

184

206

198

174

176

182

174

Weight After

198

224

185

185

213

196

178

180

175

174

business

/in /by

·         During the global recession of 2008 and 2009, there were many accusations of unethical behavior by Wall Street executives, financial managers, and other corporate officers. At that time, an article appeared that suggested that part of the reason for such unethical business behavior may stem from the fact that cheating has become more prevalent among business students. The article reported that 86% of business students admitted to cheating at some time during their academic career as compared to 77% of non-business students.

Cheating has been a concern of the dean of the College of Business at Rocky University for several years. Some faculty members in the college believe that cheating is more widespread at Rocky than at other universities, while other faculty members think that cheating is not a major problem in the college. To resolve some of these issues, the dean commissioned a study to assess the current ethical behavior of business students at Rocky. As part of this study, an anonymous exit survey was administered to a sample of 90 business students from this year’s graduating class. Responses to the following questions were used to obtain data regarding three types of cheating.

During your time at Rocky, did you ever present work copied off the Internet as your own?

Yes        

No         

During your time at Rocky, did you ever copy answers off another student’s exam?

Yes        

No         

During your time at Rocky, did you ever collaborate with other students on projects that were supposed to be completed individually?

Yes        

No         

Any student who answered yes to one or more of these questions was considered to have been involved in some type of cheating. The complete data set is in the file named Rocky.

Managerial Report

Prepare a report (see below) for the dean of the college that summarizes your assessment of the nature of cheating by business students at Rocky University. Be sure to include the following seven (7) items in your report.

1.    To summarize the data, compute the proportion of all students the proportion of all male students, and the proportion of all female students that presented

a. Work copied off the internet as their own

b. Copied answers off another student’s exam

c. Collaborated with other students on projects that were supposed to be completed individually. 
Then comment on your findings.

2.    Develop 95% confidence intervals for the proportion of all students, the proportion of all male students, and the proportion of all female students who were involved in some type of cheating.

3.    Develop 95% confidence intervals for the proportion of all students, the proportion of all male students, and the proportion of all female students who were involved in copying off the internet.

4.    Develop 95% confidence intervals for the proportion of all students, the proportion of all male students, and the proportion of all female students who were involved in copying off another’s exam.

5.    Develop 95% confidence intervals for the proportion of all students, the proportion of all male students, and the proportion of all female students who were involved in collaborating on individual project.

6.    What advice would you give to the dean based upon your analysis of the data?

Write a report that adheres to the Written Assignment Requirements under the heading “Expectations for CSU-Global Written Assignments” found in the CSU-Global Guide to Writing and APA Requirements. Items that should be included, but are not limited to are a title page, an introduction, a body which answers the questions posed in the problem and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis.  As with all written assignments you should have in-text citations and a reference page too.  Please include any tables of calculations, calculated values and graphs associated with this problem in the body. 

NOTE:  Submitting your Excel file will aid in grading with partial credit if errors are found in the paper.

Be sure that your report contains the following:

·         A title page

·         An introduction

·         A body of the paper that answers the questions posed in the problem and calculations and graphs associated with this problem. 

·         A conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. 

Be sure to submit your Excel file as well.

 

 

 

Best college essay writing services in 2023

/in /by

Best college essay writing services in 2023

Selecting the best college essay writing services in 2023 is critical in achieving academic excellence as college comes with academic loads, and even the most organized student gets overwhelmed. When choosing the best college essay services in 2023, there are critical factors that one is expected to look at. These factors include pricing, experienced writers, quality of the papers, delivery times, reviews and testimonials, and customer support. Collegeschoolessays.com comes in place to provide the best college essay writing services in 2023 and ensures that the students are in a position to balance academics and extra-curricular activities. Some of the advantages that come along with collegeschoolessays.com  provision of best college essay writing services in 2023 include;

Qualified assurance in best college essay writing services in 2023

In the ever-demanding college environment, the best college essay writing services in 2023 ,provide qualified and experienced writers are essential in achieving academic excellence.Collegeschoolessays.com provides the best college essay writing in 2023 because it has top-notch, competent, and experienced writers.

The skilled and experienced writers help with the research papers, term papers, and dissertations. With qualified and experienced writers, the student exceeds the expectations of the academic papers and, therefore, scores excellent grades. Whether the student wants a standard paper or a heavy dissertation, Collegeschoolessay.com can deliver a high-quality paper, making it the best college essay writing services in 2023. Also, before a paper gets to the client, it undergoes a team of editors, which guarantees that the paper can achieve academic integrity.

Friendly support team in college essay writing services in 2023

Delivering a quality academic paper with a friendly and supportive team is crucial in providing the best college essay writing services in 2023. Collegeschoolessay.com is the best essay writing service in 2023 because of the friendly support team available 24/7 when the student seeks assistance, guidance, clarity, and a personalized experience. The support team is readily available whenever needed in case of a request, an inquiry, or even an update on a particular subject. The support team is friendly and responsive to your needs, ensuring you have a seamless experience, making it the best college essay-writing service in 2023.

Timely delivery of college writing  essays

Meeting deadlines is paramount to academic success. While choosing the best college essay writing services in 2023, one needs to check the reputation of the website’s ability to deliver papers to avoid missing submission deadlines. Collegeschoolessays.com  is the best college essay writing service in 2023 because it ensures that 100% of the essays are completed on time. With Collegeschoolessays.com, you can beat the strict deadlines while still providing the best quality, making it a go-to website for Best college essay writing services in 2023.

No plagiarism 

No plagiarism is another crucial factor that one should look out for when choosing the best college essay writing services in 2023. Integrity in college writing services in 2023 and, therefore, ensuring originality of the papers is crucial for essay writing companies. College essays from est writing services 2023, provide 100% original papers, and plagiarism checks are done routinely on all the papers, making the papers free from plagiarism.

Pricing 

The best college essay writing services in 2023 ensure that they are affordable and can cater to the students’ budgets. students.Collegeschoolessays.com offers competitive prices, which has played a vital role in achieving academic excellence among students, making it the best college essay writing service in 2023.

Therefore, while choosing the best college essay writing services in 2023 is critical to academic excellence.Collegeschoolessays.com provides the best essay writing services in 2023 to ensure that you are achieving academic excellence.Collegeschoolessays.com ensures that they provide reliable as well as high-quality essay writing services in 2023.

Collegeschoolessays.com has qualified and experienced writers that ensure A+ college papers are delivered to the students. The support team listens to the needs and addresses any problems, which guarantees the students’ satisfaction in best college essay writing in 2023. Therefore, keep the quality, originality, and support and choose Collegeessays.com and let them help you achieve academic excellence.

 

 

 

 

For the network shown here, calculate the following: Mean duration (µ) Variance (σµ2) Standard Deviation (σµ) Probability that the network can be completed in 50 days or less. 2. 1. The following information concerns progress at day 40 of an Internet

/in /by
  1. For the network shown here, calculate the following:
    1. Mean duration (µ)
    2. Variance (σµ2)
    3. Standard Deviation (σµ)

Probability that the network can be completed in 50 days or less.

 

2.

1.     The following information concerns progress at day 40 of an Internet marketing project. Determine if the project is in control based on time and cost to date.  If not, what is the cost overage or underage?

 

 

Activity

Duration

Budget

Actual
Cost

%
Complete

1-2

10

300

250

100.00

2-3

8

400

450

100.00

2-4

12

350

380

100.00

4-3

0

0

0

 

3-5

18

405

400

70.00

5-6

16

450

——-

0.00

 

A Project has just completed the 87th item in its action plan. It was scheduled to have spent $168,000 at this point in the plan but has actually spent only $156,000. The foreman estimates that the value of the work actually finished is about $162, 000. What are the spending and schedule variances for the project? What are the SPI and CPI?

The Heinlein and Krampf Brokerage firm has just been instructed by one

/in /by

The Heinlein and Krampf Brokerage firm has just been instructed by one of its clients to invest $250,000 for her, money obtained recently through the sale of land holdings in Ohio. The client has a good deal of trust in the investment house, but she also has her own ideas about the distribution of the funds being invested. In particular, she requests that the firm select whatever stocks and bonds they believe are well rated, but within the following guidelines:
1. Municipal bonds should constitute at least 20% of the investment.
2. At least 40% of the funds should be placed in a combination of electronics firms, aerospace firms, and drug manufacturers.

3. No more than 50% of the amount invested in municipal bonds should be placed in a high-risk, high-yield nursing home stock.

Subject to these restraints, the client’s goal is to maximize projected return on investments. The analysts at Heinlein and Krampf, aware of these guidelines, prepare a list of high-quality stocks and bonds and their corresponding rates and return.

Investment Projected rate of Return (%)
Los Angeles municipal bonds 5.3
Thompson Electronics, Inc. 6.8
United Aerospace Corp. 4.9
Palmer Drugs 8.4
Happy Days Nursing Homes municipal bonds 11.8

a. Formulate this portfolio selection problem using LP.
b. Solve the problem using Excel. 
c. What is the optimal projected return? How much to invest in each investment type? 
d. How much money has been invested in Electronics and Aerospace?
e. What are the binding constraints? 
f. If you have the chance to relax one of the guideline restrictions, which one do you choose and why?
g. If the projected rate of return of the municipal bonds increases to 6.1, what will happen to the investment solution found in b? Is it require to resolve the problem using Excel or we are able to derive the solution? Find the solution.

 

When examining differences between proportions, it is appropriate to use which approach to defining the

/in /by

1.

When examining differences between proportions, it is appropriate to use which approach to defining the standard error of the sampling distribution?

A) both approaches are appropriate

B) the pooled-variances approach

C) neither approach is appropriate

D) the separate-variances approach

2. 10. A police department is implementing a new initiative in different high crime areas throughout the city—they will be assigning an officer to walk the area for one month. I have been asked to assess whether the strategy was effective in reducing calls for police service. I am interesting in the number of calls for service in a specific location before an officer was assigned to walk the area and after an officer was assigned to walk the area. What type of statistical technique would I use?

A) T-test for independent samples

B) F-test

C) T-test for dependent samples

D) There is no way to make the comparison.

E) Chi-square test of independence

3.

Typically, when using a t-test to compare means, what level of measurement is the independent variable?

A) Ordinal

B) Interval

C) Nominal

D) Ratio

 

4.

When the samples are relatively large or are evenly divided, the estimates of the standard error using the pooled-variances and separate-variances approaches will be _____.

A) Exactly equal

B) Similar

C) Statistically significant

D) Dissimilar

5.

Why can we use a normal sampling distribution to test hypotheses involving proportions?

A) because the mean and standard deviation are appropriate statistics to use with proportions

B) because as N increases the sampling distribution of a proportion approximates a normal curve

C) because proportions are ratio-level measures

D) all the answers given

6.

I am getting ready to calculate and independent sample t-test. I have assumed homoscedasticity. What am I assuming?

A) That I fail to reject the null hypothesis.

B) That the standard deviations of the two groups are not equal

C) That the standard deviations of the two groups are equal

D) That I reject the null hypothesis.

 

7.

A two-sample t-test…

A) compares two samples to one another

B) compares a sample to a known population

C) compares apples and oranges

D) compares a sample to an unknown population

8.

I have completed an F-test and rejected the null hypothesis. What does this mean?

A) I can reject the null hypothesis of no difference between two independent means.

B) I can assume homoscedasticity.

C) I cannot assume homoscedasticity.

D) I can use the pooled variance estimate of t.

9.

The null hypothesis for a difference of means test is generally what?

A) that there are no means

B) that the means are the same

C) that the means are not the same

D) none of the choices given

10.

The assumption that population distributions have equal standard deviations is known as what?

A) homoscedasticity

B) multicolinearity

C) discordancy

D) heteroscedasticity

11.

One of the requirements of the two-sample t-test is that the samples examined be what?

A) proportionate

B) independent

C) equal

D) representative

 

12.

To perform a t-test comparing means, what “minimal” level of measurement must your dependent variable be?

A) Interval

B) Nominal

C) Ratio

D) Ordinal

13.

A “dependent samples T Test” is used for what type of two samples? (Select all that apply)

A) Control and treatment

B) Matched

C) Independent

14.

The pooled-variance approach to calculating the standard error assumes that the population distributions have _____ variances.

A) large

B) small

C) unequal

D) equal

statistical analyst for Silver’s Gym

/in /by

You are hired as a statistical analyst for Silver’s Gym, and your boss wants to examine the relationship between body fat and weight in men who attend the gym. After compiling the data for weight and body fat of 252 men who attend Silver’s Gym, you find it relevant to examine the statistical measures and to perform hypothesis tests and regression analysis to help make general conclusions for body fat and weight in men.

Part I: Statistical Measures

Statistics is a very powerful topic that is used on a daily basis in many situations. For example, you may be interested in the age of the men who attend Silver’s Gym. You could not assume that all men are the same age. Thus, it would be an inaccurate measure to state that “the average age of men who attend Silver’s Gym is the same age as me.”

Averages are only one type of statistical measurements that may be of interest. For example, your company likes to gauge sales during a certain time of year and to keep costs low to a point that the business is making money. These various statistical measurements are important in the world of statistics because they help you make general conclusions about a given population or sample.

To assist in your analysis for Silver’s Gym, answer the following questions about the Body Fat Versus Weight data set:

Click here to download the Body Fat Weight data set.

-Calculate the mean, median, range, and standard deviation for the Body Fat Versus Weight data set. Report your findings, and interpret the meanings of each measurement.
-The measures of central tendency are important in real-world situations.

-What is the importance of finding the mean/median? Why might you find this information useful?
-In some data sets, the mean is more important than the median. For example, you want to know your mean overall grade average because the median grade average would be meaningless. However, you might be interested in a median salary to see the middle value of where salaries fall. Explain which measure, the mean or the median, is more applicable for this data set.
-What is the importance of finding the range/standard deviation? Why might you find this information useful?
Part II: Hypothesis Testing

Organizations sometimes want to go beyond describing the data and actually perform some type of inference on the data. Hypothesis testing is a statistical technique that is used to help make inferences about a population parameter. Hypothesis testing allows you to test whether a claim about a parameter is accurate or not.

Your boss makes the claim that the average body fat in men attending Silver’s Gym is 20%. You believe that the average body fat for men attending Silver’s Gym is not 20%. For claims such as this, you can set up a hypothesis test to reach one of two possible conclusions: either a decision cannot be made to disprove the body fat average of 20%, or there is enough evidence to say that the body fat average claim is inaccurate.

To assist in your analysis for Silver’s Gym, answer the following questions based on your boss’s claim that the mean body fat in men attending Silver’s Gym is 20%:
To assist in your analysis for Silver’s Gym, answer the following questions based on your boss’s claim that the mean body fat in men attending Silver’s Gym is 20%:
– First, construct the null and alternative hypothesis test based on the claim by your boss.
– Using an alpha level of 0.05, perform a hypothesis test, and report your findings. Be sure to discuss which test you will be using and the reason for selection.
– Based on your results, interpret the final decision to report to your boss.

1 12.6 154.25 Description: The dataset provided here is based on a sample of 252 men.
2 6.9 173.25 Their body fat and weights were recorded.
3 24.6 154.00
4 10.9 184.75 Statement: The doctors office claims that the mean body fat in men is 20%.
5 27.8 184.25
6 20.6 210.25
7 19.0 181.00
8 12.8 176.00
9 5.1 191.00
10 12.0 198.25
11 7.5 186.25
12 8.5 216.00
13 20.5 180.50
14 20.8 205.25
15 21.7 187.75
16 20.5 162.75
17 28.1 195.75
18 22.4 209.25
19 16.1 183.75
20 16.5 211.75
21 19.0 179.00
22 15.3 200.50
23 15.7 140.25
24 17.6 148.75
25 14.2 151.25
26 4.6 159.25
27 8.5 131.50
28 22.4 148.00
29 4.7 133.25
30 9.4 160.75
31 12.3 182.00
32 6.5 160.25
33 13.4 168.00
34 20.9 218.50
35 31.1 247.25
36 38.2 191.75
37 23.6 202.25
38 27.5 196.75
39 33.8 363.15
40 31.3 203.00
41 33.1 262.75
42 31.7 205.00
43 30.4 217.00
44 30.8 212.00
45 8.4 125.25
46 14.1 164.25
47 11.2 133.50
48 6.4 148.50
49 13.4 135.75
50 5.0 127.50
51 10.7 158.25
52 7.4 139.25
53 8.7 137.25
54 7.1 152.75
55 4.9 136.25
56 22.2 198.00
57 20.1 181.50
58 27.1 201.25
59 30.4 202.50
60 24.0 179.75
61 25.4 216.00
62 28.8 178.75
63 29.6 193.25
64 25.1 178.00
65 31.0 205.50
66 28.9 183.50
67 21.1 151.50
68 14.0 154.75

Given a one independent variable linear equation that states cost in $K

/in /by

1) Given a one independent variable linear equation that states cost in $K, and given the following information, calculate the coefficient of variation and determine its meaning.
[removed][removed]
 
 
 

[removed]If we used this equation, we could typically expect to be off by ± 10.77%.

[removed]If we used this equation, we could typically expect to be off by ± 29.31%.

[removed]If we used this equation, we could typically expect to be off by ± 9.32%.

[removed]If we used this equation, we could typically expect to be off by ± 33.85%.

2) You are estimating the cost ($K) of optical sensors based on the resolution of the sensor (i.e. how small of an object it can detect). Using the preliminary calculations from a data set of 8 sensors, determine the equation of the line. (Round your intermediate calculations to 3 decimal places)
∑Y = 2515 ∑X = 30 ∑XY = 6857.5 ∑X2 = 161
[removed][removed]
 
 

[removed]Cost = – 53.067 + 115.374 (Resolution)

[removed]Cost = 513.376 + (- 53.067) (Resolution)

[removed]Cost = 115.374 + (-53.067) (Resolution)

[removed]Cost = – 53.067 + 513.376 (Resolution)

3) You are trying to determine the statistical significance of an equation. Given the following information, test the slope of the equation at the 95% level of confidence. Select the correct answer out of each pair of choices.

Cost = – 76.25 + 114.82 (Range) n = 9 Sb1 = 17.669
[removed][removed]
 
 

[removed]The tp is 1.895

[removed]The tp is 2.365

[removed]The tc is 4.315

[removed]The tc is 6.498

[removed]We would reject the null hypothesis

[removed]We would fail to reject the null hypothesis

[removed]We would consider using the equation

[removed]We would not use the equation

4) You have calculated the following power model and associated unit space values: You would select the:
[removed][removed]
 
 
 

[removed]Power equation because it has a higher standard error than the linear model.

[removed]Power equation because it has a lower standard error than the linear model.

[removed]Linear equation because it has a higher standard error than the power model.

[removed]Linear equation because it has a lower standard error than the power model.

5) A coworker is considering the use of a log linear (power) model using weight to estimate the cost of a utility vehicle. They have performed the following calculations in log space using natural logarithms. Select the corresponding unit space form of this power model equation.

Log Space b1 = 1.268074 b0 = 0.062153
[removed][removed]
 
 

[removed]Cost = 1.268074 + 0.062153 (Weight)

[removed]Cost = 0.062153 + 1.268074 (Weight)

[removed]Cost = 1.064125 (Weight) 1.268074

[removed]Cost = 0.062153 (Weight) 1.268074