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8 calculate the ionization energy of the li 2 ion 9 show that the wavefunctions 100 and 200 for the hydrogen atom are

Complete ALL questions below and upload your answers under the assignment for this unit. You can either print out the document and answer on the sheet, or answer on separate paper. Once you've finished, either scan or clearly photograph your answers to upload them. 1. The iPhone Effect Researchers wanted to investigate whether the presence of mobile phones influences the quality of in-person social interactions. In a field experiment, 100 pairs of participants were observed during the course of a 10-minute conversation. The researchers recorded whether participants placed a mobile phone on the table or held it in their hand. The researchers measured the level of connectedness and empathetic concern at the end of the conversation for those with a mobile phone present and those where it was absent. (Source: adapted from Mirsa et al. (1999)) a) State a null hypothesis and a two-tailed (non-directional) alternative hypothesis for the iPhone effect study. b) Explain why the experimental/research design used in the iPhone effect study was appropriate. Page 1 Question 1 is continued overleaf/nStatistical research c) Explain one strength of using a field experiment for this study. The total word limit for question 1 is 250 words. This does not include calculations.

2 discuss what the graphs show and function as a representation for, and how their data relate to allometry in vertebrates

1. (14 total points) Suppose a consumer has a utility functiongiven by U(X,Y)= MIN(X, 3Y). The consumer has $60 to spend(M = $60). The Price of Good Y is Py = $1.a) (10 points) Draw the consumer's Price Consumption Curve forthe following prices for Good X: Px = $1, Px = $2, Px = $3. Foreach set of prices, make sure to accurately draw each budgetconstraint, and also identify the consumer's optimal bundle oneach budget constraint. Make sure your graph is neat, accurate,scaled properly, and fully labeled to receive full credit.b) (4 points) Using a graph, sketch the consumer's demand curvefor Good X. Make sure to identify three points on the demandcurve. Make sure your graph is neat, accurate, scaled properly, andfully labeled to receive full credit.

Use the outreg2-command to generate an Excel table called "2a" containing all results from the loops below. Do not report the constants in the output table. /* Code: */ local Controls "i.country_survey left right male young children_dummy rich university_degree immigrant moved_up" eststo clear foreach var in budget_health budget_defense { eststo: xi: reg `var' q1_to_q1 `Controls' } foreach var in budget_health budget_defense { eststo: xi: reg `var' q1_to_q5 `Controls' }

UMass RESEC 262 Summer 1) The Clean Air Act requires the EPA to set these standards "requisite to protect the public health" with "an adequate margin of safety." This has been referred to as zero-risk standards. Use the graph below to answer the questions below concerning the economics of zero-risk ambient concentration standards. Aggregate marginal abatement costs A¹ A² A³ Aggregate marginal damage A4 Problem A5 Ambient concentration a. What is the maximum ambient concentration in the graph that would achieve the zero-risk goal? [1 point] b. Is a zero-risk ambient concentration standard likely to be efficient? Why? [2 point]

To Do Make sure to revise your Research Objectives to be specific enough (must be written by you) so that you can do the Data Analysis and Business Recommendations. See Sample Research Report. Sources: Must have 2-4 or more foreign sources and 3-5 or more Canadian sources, maximum 1-2 journal articles. APA: In-text citations and References must match. Number References. Content: 3 graphs (made by you in Excel) must have sufficient information: Question/Theme at the top and Title (including method) at the bottom. Data in research objective must match Data Analysis. Purpose in research objective must match Business Recommendation. Common purposes are marketing campaign, pricing strategy, distribution plan, product adaptation, promotional strategy, etc. Your research objectives must come from your sources, not taken from the sample. Writing: Single-spaced. Do not change key words in sources. Use "Ctrl+A" to ensure consistency in font and format. Please note: There will be no re-do/re-submission after the due date. Make sure you have the required sources, APA, content and writing. Avoid copy/paste or any writing that is not yours. Avoid putting in References sources you did not use, webpages without content, or sources that are not real. Example name Sample Report is how it is supposed to be done and above is the specific instructions to be followed for sample report. Some background info, I had two work done here on my topic " Corey Nutrition Company #Exporting pet foods to Jamaica". I will have them attach so to get a clear example of where we are going. Research Proposal and Intelligence report for my research proposal. Topic link-(also attached) :https://www.international.gc.ca/world-monde/stories-histoires/2019/CPTPP-corey.aspx?lang=eng Need to make 10-12 pages single spaced excluding references

1. ASSESSMENT BRIEFING In this individual assignment you are required to choose a city and identify and research two key sustainability issues, which are negatively impacting your city's sustainability performance. You will apply sustainability concepts; analyse and raise awareness of these problems and their causes. You will communicate your research effectively and succinctly by designing and producing an aesthetically pleasing poster. A successful poster will not only attract the viewer's attention, for it will also outline accurately and concisely the purpose, findings, and conclusions of your research. Your poster will be designed to include a balance of text, images, figures, and tables. The poster should include in-text citations or references to your research sources. Your submission should include a reference list of recent academic and non-academic sources, presented in the Cite them Right Harvard Referencing style. You must choose one city from the Arcadis Sustainable City Index 2022 Your selection should be based on the availability of the information and data needed to complete the module assessments. Make sure you get advice from your seminar leaders as you work through your assignment.

Consider the optimization problem: Question 3 f(x, y) = 20 - 2x + 3xy s. t. 4x + 2y = 100

Part 2 REGRESSION ANALYSIS (a) Run a regression to determine the impact of the 2013 unemployment rate (UnempRate2013) on the per capita income (PerCapitalne) in a county. What is the estimated slope? Explain what this number means in words in terms of the unemployment rate and in terms of per capita income. Also indicate if the relationship is statistically significant at the 10%, 5%, and 1% levels. For this first pass, use homoskedastic standard errors. (b) Re-run the regression from part (a) but this time use heteroskedastic standard errors. Are your coefficients the same as in part (a)? Why? Are your standard errors (of your betas) the same as in part (a)? Why? (c) Run the same regression as in part (b) but now also include the following additional regressors: percentage of the population that is college-educated (Ed5CollegePlusPct), percentage of the population that is black (BlackNonHispanic Pct 2010), and percentage of the population that is Hispanic (Hispanic Pct 2010. Now, what is the estimated impact of unemployment rate in 2013 on per capita income? Also indicate if the relationship is statistically significant at the 10%, 5%, and 1% levels? Make sure that you are using heteroskedastic standard errors. (d) Provide economic/econometric intuition as to why the impact of the unemployment rate's impact on per capita income changed between parts (b) and (c). Note that I am asking you to think about the context (and hence the "story" behind these data). (e) Construct a 95% confidence interval for the slope coefficient on UnempRate2013 found in Part 2(c). Write out your calculations. Clearly indicate how this confidence interval relates to whether UnempRate 2013 is statistically significant or not in this context by relating your answer to your constructed confidence interval. (f) You recall from Part 1 that both the means of per capita income and of unemployment rate in 2013 are quite different across metro and nonmetro areas. You therefore want to explore this in more detail. Run the regression from Part 2(c) using only metro areas in 2013 (i.e., Metro2013--1). [Hint: You need to restrict the data based on a criterion before running the regression.] Now, what is the estimated effect of the 2013 unemployment rate on per capita income and also indicate if the relationship is statistically significant at the 10%, 5%, and 1% levels? Make sure that you are using heteroskedastic standard errors. (g) Now, run the regression from Part 2(c) using only non-metro areas in 2013 (Metro2013--0). [Hint: You need to restrict the data based on a criterion before running the regression]. Now, what is the estimated effect of the 2013 unemployment rate on per capita income and also indicate if the relationship is statistically significant at the 10%, 5%, and 1% levels? Make sure that you are using heteroskedastic standard errors. (h) What did you learn from the comparison between results in parts (f) and (g)? Explain your answer. Note that I again am asking you to think about the context (and hence the "story" behind these data). (i) Return to the full sample. Now, run a regression to determine the impact of changing the percentage of the population which is college educated (Ed5CollegePlusPct) on the per capita income (PerCapitalne) in a county. Include controls for the unemployment rate in 2013 (UnempRate2013), percentage of the population that is black (BlackNonHispanicPet2010), percentage of the population that is Hispanic (HispanicPet2010) and now also include a dummy variable for metro status (Metro2013). Now, what is the estimated impact of percentage with a college education on per capita income? Also indicate if the relationship is statistically significant at the 10%, 5%, and 1% levels? Make sure that you are using heteroskedastic standard errors. (j) It is quite common in econometrics to model income variables nonlinearly. Construct a new variable and call it "logine" or whatever you prefer, where logine-In (PerCapitalne). Provide summary statistics for this new variable. (Hint: Think back to how you constructed summary statistics in Part 1.) (k) Now run a regression model with logine as the dependent variable (and we are also going to start controlling for metro status in addition to the other controls). In other words, the control variables are unemployment rate in 2013 (UnempRate2013) as the main regressor, while also including the other regressors: percentage college educated (Ed5CollegePlusPct), percentage non-Hispanic black in 2010 (BlackNon HispanicPet2010), percentage Hispanic in 2010 (HispanicPct 2010), and metro status in 2013 (Metro2013). Now, what is the estimated effect of UnempRate 2013 in words? Also indicate if the relationship is statistically significant at the 10%, 5%, and 1% levels? Make sure that you are using heteroskedastic standard errors. [Careful not to leave out any variables in your regression specification in STATA] (1) What is the null hypothesis corresponding to the F-statistic as reported in the output for the regression in part (k)? What is the conclusion of the reported F-test? Explain (i.e. Do you reject or fail to reject the stated null hypothesis above and how do you know this?) (m) Construct a 95% confidence interval for the slope coefficient on UnempRate2013 in Part 2(k). As usual, write out your calculations. Clearly indicate how this confidence interval relates to whether UnempRate2013 is statistically significant or not in this context by relating your answer to your constructed confidence interval. (n) Discuss what the standard error of the regression (SER), R-squared and adjusted R-squared in part (k) are telling you in terms of the numbers that you have found. Using what you know about the difference between the two formulas, explain specifically why the R² and R² statistics so similar for this case. (0) Use an F-test to test the joint significance of the additional regressors: Ed5CollegePlus, BlackNon- Hispanic Pct 2010, Hispanic Pct 2010, and Metro2013. Find this test statistic and clearly indicate the conclusions of the test. (p) If you had more time to study this question and/or more or different data, what would you suggest doing next? Propose additional variables to add and/or different specifications to try and give specific reasons why you are suggesting these. Answers will vary for this part of the problem.