Ideal Strategy Example Attached Metacognitive Skills Allow Students To Become Aw

IDEAL Strategy (example attached)

Metacognitive skills allow students to become aware of their own learning process and choose among various cognitive strategies that will allow them to be self-regulated learners. One such cognitive skill is modeling for students how to effectively problem solve. You will model this cognitive tool by using the IDEAL problem-solving strategy found in Chapter 6.5: Approaches to Teaching Thinking.​

Bobby is a student in your fifth grade class with autism. Bobby is extremely bright and can fully engage in assignments with much independence, except activities that involve group work. In most instances, he has difficulty working with others and tends to get angry when students don’t listen to him. Often times, you find him in the corner of the room pouting.

  1. Using the IDEAL strategy, develop a possible solution to this problem. Describe your solution and how you employed the IDEAL strategy, clearly listing the five steps. 
  2. Reflecting on the IDEAL strategy, did you find the process helpful in solving a particular classroom dilemma? Why or why not? 

Imagine that you have the perfect teaching job (you are teaching the grade level and content that you desire). Describe how you might teach the IDEAL strategy to your own students. Why would doing so be beneficial? What might reasonably go wrong? 

 
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Ice Of 100 Shares Of Walmart Delivered To You In One Year Be Right Now Do You Ex

What is the futures price of 100 shares of Walmart delivered to you in one year be right now?Do you expect the price of the shares in one year to be much higher? Or lower? Or only a little bit higher? How risky the stock is. Is its price prone to wild swings up and down? Or has the price been relatively stable the last few years?What alternative investments you have access to. What rate does your bank give you on a savings account or certificate of deposit? The greater return you can get on other investments, the less you would be willing to pay for an equity future.

 
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Ideal Airways Is A Small Local Carrier That Flies Among The Northeast States The

Ideal Airways is a small local carrier that flies among the northeast states. The company provides only one class of seats: coach. The following data are available:

Given this information:

Average full passenger fare

 
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Ice Elasticity Of Demand For The Product Of An Individual Firm Would Typically B

Why would we expect that the price elasticity of demand for the product of an individual firm would typically be greater than the price elasticity of demand for the product overall? Illustrate your answer with example.

 
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Ide Wars Jes Vs Idle Vs Pycharman Ide Is An Integrated Development Environment I

IDE Wars: JES vs. IDLE vs. PyCharm

An IDE is an Integrated Development Environment.

It is the application used to create applications and code. 

  1. Research the differences between JES, IDLE, and PyCharm.
  2. Compare/contrast features (a chart might be helpful).
  3. What Python IDEs are being used in the industry? 

Be sure to cite your research using APA guidelines found in the APA Style Guide, located in the Student Success Center.

 
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Id8 13 Https Www Gov Archives Edgar Data 1288776 000119312513028362 D452134d10k

ID8-13

https://www.sec.gov/Archives/edgar/data/1288776/000119312513028362/d452134d10k.htm

REQUIRED: 

Review the Google SEC From 10-K, and answer the following questions: 

a. Does Google carry investment portfolios in trading and available-for-sale securities? 

b. Has Google exercised the fair value option for any of these investments? If so, which ones, and which levels of measurement (1, 2, or 3) did Google rely upon to estimate the market values? 

c. Did Google have any major acquisitions during 2012? Replicate the entry recorded to account for this acquisition. 

d. How much goodwill did Google report on its 2011 and 2012 balance sheets? Explain the difference from 2011 to 2012. 

e. Does Google have any investments for which they use the equity method? Explain.

 
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Id Salary Compa Midpoint Age Performance Service Gender Rating Raise Degree Gend

Problem Set Week Three

Complete the problems included in the resources below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations.

All statistical calculations will use the Employee Salary Data Set and the Weekly Assignment Sheet.

Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment.

  • Attachment 1
  • Attachment 2
  • Attachment 3

ID Salary Compa Midpoint Age 123456789101112131415161718192021222324252627282930313233343536373839404142 55.727.134.761.35178.941.423.977.623.7…

 
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Id Salary 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 2

Need attached worksheet completed with answers to each question related to data worksheet, each tab must be completed. Additional big tip will be given upon completion of work. Any questions related can be asked.

 
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Id Salary 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 2 1

I need help please.  The assignment is listed below and I have attached a spreadsheet where the week 3 tab must be completed.

Problem Set Week Three 

During this week, we will look at ways of testing multiple (more than two) data samples at the same time.

We will continue to use the data and assignment file that we opened in Week 2, we just move on to the Week 3 tab.The first question asks us to determine if the average compa-ratio is equal across 10K salary groups (20 – 29K. 30 – 39K, etc.).  The second question asks us to identify which of the salary groups have different averages.  The final question asks us to interpret the new information presented in the lecture and assignment; how does the new information we analyzed help us answer our equal pay for equal work question.

The data and assignment file can be found in the Course Materials link, at the bottom in the Multi-Media section.  If you save the files from last week, you do not need to open them again.

Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment.

Description: 

Total Possible Score: 8.00

Performs and Interprets an ANOVA Test on Performance Data

Total: 3.00

Distinguished – Performs the following correctly: identification of the null and alternate hypotheses, identification of the test to use, correct data, identification of where data used is located, set-up for the test, answers to the questions, and  a clear and accurate interpretation of the results.

Proficient – Performs the following with no more than one error: identification of the null and alternate hypotheses, identification of the test to use, correct data, identification of where data used is located, set-up for the test, answers to the questions, and  a clear and accurate interpretation of the results.

Basic – Performs the following with no more than three errors: identification of the null and alternate hypotheses, identification of the test to use, correct data, identification of where data used is located, set-up for the test, answers to the questions, and  a clear and accurate interpretation of the results.

Below Expectations – Performs the following with more than three errors: identification of the null and alternate hypotheses, identification of the test to use, correct data, identification of where data used is located, set-up for the test, answers to the questions, and  a clear and accurate interpretation of the results.

Non-Performance – There is no response to Problem One, or it does not provide any correct responses to the question elements.

Performs and Interprets an ANOVA Test on Performance Data

Total: 3.00

Distinguished – Performs all elements correctly: identifies the correct pairs to compare, mean differences, and correct t-value; calculates the correct +/- values; and correctly identifies the significantly different pairs of means.

Proficient – Has errors in only one area: identification of the correct pairs to compare, mean differences, and the correct t-value; calculation of the +/- values; and identification of the significantly different pairs of means.

Basic – Has errors in only two or three areas: identification of the correct pairs to compare, mean differences, and the correct t-value; calculation of the +/- values; and identification of the significantly different pairs of means.

Below Expectations – Has errors in four or five areas: identification of the correct pairs to compare, mean differences, and the correct t-value; calculation of the +/- values; and identification of the significantly different pairs of means.

Non-Performance – There is no response to Problem Two, or it does not provide any correct responses to the problem’s elements.

Conclusions and Interpretations

Total: 2.00

Distinguished – Performs all elements correctly: identifies the correct pairs to compare, mean differences, and correct t-value; calculates the correct +/- values; and correctly identifies the significantly different pairs of means.

Proficient – Has errors in only one area: identification of the correct pairs to compare, mean differences, and the correct t-value; calculation of the +/- values; and identification of the significantly different pairs of means.

Basic – Has errors in only two or three areas: identification of the correct pairs to compare, mean differences, and the correct t-value; calculation of the +/- values; and identification of the significantly different pairs of means.

Below Expectations – Has errors in four or five areas: identification of the correct pairs to compare, mean differences, and the correct t-value; calculation of the +/- values; and identification of the significantly different pairs of means.

Non-Performance – There is no response to Problem Two, or it does not provide any correct responses to the problem’s elements.

 
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Id 1 7 9 10 11 17 19 20 21 22 23 24 26 30 32 33 35 36 37 40 41 45 47 50 51 52 53

Hypertension, PediatricsThe etiology of high blood pressure remains a subject of active investigation. One widely accepted hypothesis is that excessive sodium intake adversely affects blood-pressure outcomes. To explore this hypothesis, an experiment was set up to measure responsiveness to the taste of salt and to relate the responsiveness to blood-pressure level. The protocol used involved giving 3-day-old infants in the newborn nursery a drop of various solutions, thus eliciting the sucking response and noting the vigor with which they sucked—denoted by MSB (mean number of sucks per burst of sucking). The content of the solution was changed over 10 consecutive periods: (1) water, (2) water, (3) 0.1 molar salt + water, (4) 0.1 molar salt + water, (5) water, (6) water, (7) 0.3 molar salt + water, (8) 0.3 molar salt + water, (9) water, (10) water. In addition, as a control, the response of the baby to the taste of sugar was also measured after the salt-taste protocol was completed. In this experiment, the sucking response was measured over five different periods with the following stimuli: (1) nonnutritive sucking, that is, a pure sucking response was elicited without using any external substance; (2) water; (3) 5% sucrose + water; (4) 15% sucrose + water; (5) nonnutritive sucking. The data for the first 100 infants in the study are given in Data Set INFANTBP.DAT, on the Companion Website. The format of the data is given in Data Set INFANTBP.DOC, on the Companion Website. Construct a variable measuring the response to salt. For example, one possibility is to compute the average MSB for trials 3 and 4 − average MSB for trials 1 and 2 = average MSB when the solution was 0.1 molar salt + water – average MSB when the solution was water. A similar index could be computed comparing trials 7 and 8 with trials 5 and 6.6.56 Obtain descriptive statistics and graphic displays for these salt-taste indices. Do the indices appear to be normally distributed? Why or why not? Compute the sample mean for this index, and obtain 95% CIs about the point estimate.6.57 Construct indices measuring responsiveness to sugar taste, and provide descriptive statistics and graphical displays for these indices. Do the indices appear normally distributed? Why or why not? Compute the sample mean and associated 95% CIs for these indices.6.58 We want to relate the indices to blood-pressure level. Provide a scatter plot relating mean SBP and mean DBP, respectively, to each of the salt-taste and sugar-taste indices. Does there appear to be a relation between the indices and blood-pressure level? We discuss this in more detail in our work on regression analysis in Chapter 11.for data see attachment

 
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