The following information was provided by a statistical program for a data set. Based on the statistics shown below, what value would you use for the is the sample standard deviation? Round to 2 decimal places. The following information was provided by a statistical program for a data set. Based on the statistics shown below, what value would you use for the is the sample mean? Round to 2 decimal places. The following information was provided by a statistical program for a data set. Based on the statistics shown below, what value would you use for the IQR?
PROMPT: Choose two of the following three questions and post your answers: In your own words, what is meant by the statement that correlation does not imply causality? In your own words, please describe the difference between the regression equation and the regression equation . Values of r: If you had computed the value of the linear correlation coefficient to be 1.200, what should you conclude? Directions: Please do some research on these topics by using your textbook or the Internet to answer the complete prompt. For assistance, please see: APA7 citation generator: Citefast automatically formats citations in APA 7th edition. (n.d.). Cite Fast. https://www.citefast.com/?s=APA7#_Webpage Then answer your classmates' posts and comment on their descriptions. Requirements: Your main post should be at least 60 words in length, answer all portions of the prompt, and contain a cited source in APA formatting. The two replies to classmates should be at least 60 words in length each. Please do not reply to a classmate with "Good post" or the like, as you will not receive credit for that type of response. Participation is required on a minimum of three days. It is highly suggested that the main response to the weekly discussion be posted by 11:59 pm ET Thursday, and all posts must be completed by 11:59 pm ET Sunday.
Earlier this week, you practiced using repeated measures ANOVA models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and otherwise address any questions you had. In this Assignment, you apply what you learned to answer a social research question using Repeated Measures ANOVA. To prepare for this Assignment: Review the datasets provided. Construct a research question based on one of those datasets. Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable? ”The AssignmentUse SPSS to answer the research question you constructed. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 2–3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix. What is the null hypothesis for your question? What research design(s) would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? If you found significance, what is the strength of the effect? What is the answer to your research question? What are the possible implications of social change? Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the General Social Survey Dataset, report the mean of Age. If you are using the HS Long Survey Dataset, report the mean of X1SES. See page 996 in your Warner textbook for an excellent APA-compliant write-up of a repeated-measures ANOVA.
Download industry-level data for the dividend yield or dividend payout ratio for the United States, Europe, Japan, or Emerging Markets from the current data https://pages.stern.nyu.edu/~adamodar/New_Home_Pag... page on Aswath Damodaran’s website. Also download industry-level data for the debt-to- capital ratio, market beta, and expected growth in earnings per share (EPS) over the next five years for the same country or country group. Estimate a linear regression with the dividend yield or dividend payout ratio (debt-to- capital ratio) serving as the dependent (explanatory) variable. In addition, estimate quadratic and cubic regression specifications. Do you find evidence of nonlinearities in the relationship between the dividend yield or dividend payout ratio and the debt-to- capital ratio? Create a scatterplot for the dependent and explanatory variables that includes the fitted linear, quadratic, and cubic regressions. Estimate a multiple linear regression with the dividend yield or dividend payout ratio serving as the dependent variable and the debt-to-capital ratio, market beta, and expected earnings growth serving as the explanatory variables. Report the results (coefficient estimates, standard errors, t-statistics, R2 statistic) in a table. Discuss the results. Provide the Stata code in an appendix.
We are allowed to do 2 practice exams before the actual exam. the actual exam is tomorrow starting 8 am - 10:30 am were going to have 2 hours to finished it its going to be 22 questions exam. the practice test is the same questions but with different numbers we can practice the questions so were ready for tomorrow I will send you the teachers way how to solve them we have to do exactly the way she did if we don't do like she did she won't give me full points on the exam. The exam is going to cover all this Content: This midterm covers section 05, 06, 07, 08, 09, 10, 11, and 12. The exam is worth 100 raw points, consists of 21 questions, and is scheduled for one hour and twenty minutes; however, the Canvas time limit may exceed one hour and twenty minutes. Remember that if you start the exam and lose connection or close the window or have a power outage, the exam clock will CONTINUE to wind down!! Whatever the Canvas time limit, remember that the exam is only available during class, and you will be kicked out no matter when you start the exam!! The exam covers these topics: CANVAS MODULE: PROBABILITY (SECTIONS 05, 06, AND 07) Definitions: Probability/Event/Simple Event/Sample Space/Sample Size Classical Probability/Relative Frequency Probability Law of Large Numbers Certain/Likely/50-50/Unlikely/Impossible Compound/Disjoint/Mutually Exclusive/Independent/Dependent Complement/At Least/At Most/More Than/Fewer Than Addition Rule Multiplication Rule Conditional Probability Bayes’ Theorem Counting: Multiplication Rule/Factorial Rule/Permutation Rule/Identical Item Rule/Combination Rule CANVAS MODULE: DISCRETE PROBABILITY DISTRIBUTIONS (SECTIONS 08 AND 09) Definitions: Discrete Random Variable/Discrete Probability Distribution Determine if a distribution is a probability distribution or how to make a distribution into a probability distribution Construct a probability histogram Probability Distribution: Construct a probability histogram/Find Mean/Find Standard Deviation Calculate/Interpret/Explain Expectation Binomial Distribution/Calculation/Mean/Standard Deviation Poisson Distribution/Calculation/Mean/Standard Deviation Binomial Approximation with the Poisson Distribution Justification/Calculation Significantly High/Significantly Low Apply Complement/At Least/At Most/More Than/Fewer Than to Section 08 and 09 concepts Apply z-score/unusual/not unusual to Section 08 and 09 concepts CANVAS MODULE: NORMAL PROBABILITY DISTRIBUTIONS (SECTIONS 10, 11, AND 12) Definitions: Continuous Random Variable/Continuous Probability Distribution/Density Curve Standard Normal Distribution/Normal Distribution Find a probability/area from a z-score/data value using tables or technology Find a z-score/data value from a probability/area using tables or technology Definition: Proportion Understand Sampling Distributions and Techniques Understand which statistics target which parameters and why Central Limit Theorem Apply Central Limit Theorem to probability calculations associated with the mean of a group of data points. Apply percentiles to Section 10, 11, and 12 concepts Apply Complement/At Least/At Most/More Than/Fewer Than to Section 10, 11, and 12 concepts Understand and Interpret Normal Quartile Plots Binomial Approximation with the Normal Distribution Justification/Calculation Apply z-score/unusual/not unusual to Section 10, 11, and 12 concepts Apply significantly low/significantly high to Section 10, 11, and 12 concepts Determine how to solve a problem and justify the choice: Binomial Distribution/Binomial Approximation with the Poisson Distribution/Binomial Approximation with the Poisson Distribution
PROMPT: Choose two of the following three questions and post your answer: In your own words, for what is one-way analysis of variance used? In your own words, if we want to test for equality of the three means in a sample, why don’t we use three separate hypothesis tests for ? In your own words, what is the main difference between one-way analysis of variance and two-way analysis of variance? Directions: Please do some research on this topic by using your textbook or the Internet to answer the complete prompt. For assistance, please see: APA7 citation generator: Citefast automatically formats citations in APA 7th edition. (n.d.). Cite Fast. https://www.citefast.com/?s=APA7#_Webpage Then answer your classmates' posts and comment on their descriptions. Requirements: Your main post should be at least 60 words in length, answer all portions of the prompt, and contain a cited source in APA formatting. The two replies to classmates should be at least 60 words in length each. Please do not reply to a classmate with "Good post" or the like, as you will not receive credit for that type of response. Participation is required on a minimum of three days. It is highly suggested that the main response to the weekly discussion be posted by 11:59 pm ET Thursday, and all posts must be completed by 11:59 pm ET Sunday.
Earlier this week, you practiced using ANCOVA models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and otherwise address any questions you had. In this Assignment, you apply what you learned to answer a social research question using ANCOVA. Hopefully you are not yet tired of comparing means! To prepare for this Assignment: Review the datasets provided. Construct a research question based on one of those datasets. Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable? ”The AssignmentUse SPSS to answer the research question you constructed. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 2–3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix. What is the null hypothesis for your question? What research design(s) would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? What is your covariate? What is the answer to your research question? What are the possible implications of social change? Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the General Social Survey Dataset, report the mean of Age. If you are using the HS Long Survey Dataset, report the mean of X1SES. See pages 713 and 714 in your Warner textbook for an excellent APA-compliant write-up of an ANCOVA.
Problem 2. (5 points) The liquid-phase reaction A+B C follows an elementary rate law and is carried out isothermally in a 200 L batch reactor heated to 77°C. The initial concentrations of A and B are both 1 mol/L. At 27°C, k = 0.07 L/mol min, and E = 20 kcal/mol. How long does it take to achieve 90% conversion at 77°C? Evaluate computationally using Polymath. Provide Polymath report and plot of X vs. t.
A All data need to be processed in training the SVM B.SVM is a linear classifier OC. All data need to be processed in testing of SVM OD. All data contribute to the optimal solution of SVM
