Consider and explain how animation creates meaning in this piece.

Link to video to react to: https://www.nfb.ca/film/ryan/Consider and explain how animation creates meaning in this piece. The use of 3-D animation expresses a specific aspect of this narrative that isn’t told through words. Also consider color and texture in this contextMost of the animation takes place in a mirrored space (you will notice this if you pay attention to the backgrounds). Why do you think this is? How does this formal choice create meaning?3 pages please double spaced

Do you think it is ethical to use animals in research?

The use of animals in research is controversial. Investigate this controversy using at least five resources from the Online Library. Do you think it is ethical to use animals in research? Explain your reasoning and support your answer with at least three sources from the Online Library (these sources must be different from the ones you already used in this assignment).Please provide your answers in a 3- to 4-page Microsoft Word document.Support your responses with examples.Cite any sources in APA format.

Discuss at least three errors that occurred in the investigation of Ronald Cotton investigation, related to eyewitness testimony and the topic of memory, which lead to his conviction? How did reinforcement play a role in her memory construction?

In this classmate response option, you will get to explore more specifically the research how tricky memory can be which is related to the psychology of law. I would like for us to first overview of concept of false memories and some of the classic research on the concept: Video to watch. https://youtu.be/w2oh-Vrfzjc250 Words in APA Format.DISCUSSION RESPONSEFor the assignment you are first required to watch the following video (2 part video) on Ronald Cotton. Ronald Cotton was exonerated in 1995, after spending over 10 years in prison for crimes he did not commit. His convictions were based largely on flawed eyewitness identification procedures used by police at the time. If you would like to read more about the sexual assault case before watching the video https://www.pbs.org/wgbh/pages/frontline/shows/dna/cotton/summary.html is a link.Below are the links to the videos:Testimony part 1: https://youtu.be/u-SBTRLoPuoTestimony part 2: https://youtu.be/I4V6aoYuDcgAfter reading the text material related to memory construction and watching the video about Ronald Cotton please address these questions:1. Discuss at least three errors that occurred in the investigation of Ronald Cotton investigation, related to eyewitness testimony and the topic of memory, which lead to his conviction? How did reinforcement play a role in her memory construction?2. Based on the video, what are some of the ways that investigators could reduce error related to memory and improve the reliability of eyewitness testimony?3. Please discuss either what you found most interesting about the story of Ronald Cotton or one study overviewed in the text related to memory construction (misinformation and imagination effects/Children’s eyewitness recall) that you found interesting?If you are interestedin the topic of false memories, I wanted to share this podcast:The Night That Lasted A Lifetime(https://podcasts.apple.com/us/podcast/hidden-brain/id1028908750?i=1000483060535). This week on Hidden Brain, we go back four decades to uncover the harm that arises when flawed ideas from psychology are used to determine that a teenager should spend the rest of his life behind bars.

Summarize the findings or results discussed in the report and reiterate the most important recommendations.

IntroductionThroughout this course, you have learned what steps you will need to take to put together a successful team. You will use your knowledge about each step of the team-building process and its significance in a final report for your VP. You will explain what makes teams important and effective. This assignment gives you an opportunity to analyze your leadership potential while applying business writing skills.ScenarioYour VP has asked you to create a 5–7 member team that you will lead for a new product or service the company is introducing. You have taken steps throughout your course to begin building your team. You will deliver a business report to your VP for your final team proposal.InstructionsWrite a 3–4 page report to the Vice President to include the following sections:1. Title PageInclude a title page with the following information:Project name.Date.Prepared by: your first and last name.Prepared for: your VP first and last name.Company name.2. IntroductionYour introduction should be 1–2 paragraphs summarizing what you will cover in the report as well as your reason for writing the report. Be as specific and concise as possible when writing your introduction so that the reader can clearly understand what they will find in your report.3. BodyThe body of the report will include three labelled sections:Envisioning the Team Based on the Week 3 assignment and feedback, describe your team’s purpose, its roles, and critical skills. Include the following:The team purpose statement (the shared goal).The specific roles that will make up your team and what each is responsible for. That includes description of responsibilities and the types of tasks each member performs.The skills/traits each role will require and why those are critical.Picking Your PeopleDescribe your plans for researching, recruiting, and evaluating the best candidates. Don’t forget to review the Week 5 assignment on evaluating candidates and the instructor feedback. Support your rationale with examples and references from course resources. Use the following suggestions to get started:Share your scouting techniques to recruit for the team members.Share your plan to research applicants or potential candidates, including the supporting rationale.Share how you will attract and persuade the most valuable candidates to join your team.Provide examples of key roles on your team and explain the evaluation or testing recommended for those roles and why those are appropriate.Leading an Effective TeamExplain what makes the team and you as a member of your own team effective. Include the following:Identify and explain four characteristics that will be important for your team to be effective and successful and why those are key. Provide support for your points from course resources.As a member of your own team explain strategies you will use to be the leader your team needs. Provide support from course resources and your DiSC assessment.Consider strategies for increasing team effectiveness.Think about what you learned about your personality traits from the DiSC assessment and complementary strengths in your team members.4. ConclusionSummarize the findings or results discussed in the report and reiterate the most important recommendations.

How helpful were the sales associates?

Assignment: Visit your local lighting store. An independent retailer such as Lofing’s, Holbrecht Lighting, Ferguson and Lamp’s Plus are a few in Sacramento. Please DO NOT go to Home Depot/Lowe’s big box stores. Write a summary 2 page summary of your visit and photo preserve your lighting choices.Document what business you visited, the location and time of day you went in.Walk the showroom floor (looking up-lol) and observe the various types of lighting offered.You are there to source and see lighting you have specified in 4 of the spaces from last weeks floor plan.Speak with the salesperson for details of your selection.Does the luminaire selected have the light output required for the area being lighted?What type of lamp (bulb) is required for use? compact fl. incandescent, LED, halogen, etcAre the luminaires energy efficient?Are you able to use dimmers with your selections? If so, what type?What are the newest products on the market?Do they offer a lighting designer to assist planning?Take photos of each light source for each room.Price all lighting selected pieces.How helpful were the sales associates?How knowledgeable were they?Do they have a certified lighting designer on staff?Do the offer commercial grade lighting?

Explain how these methods and sources would influence the completeness of case identification as well as the case definition/diagnostic criteria used.

Descriptive epidemiology deals with describing disease patterns using three major categories: person, place, or time (Friis & Sellers, 2021).Consider the following exampleOver the last weekend, six people went to the Alcan City Hospital emergency room with similar symptoms. The laboratory results for the six patients were indicative of an infection due to Escherichia coli (E. coli). Patient interviews revealed they had all eaten a meal at Sam’s Sandwich Food Truck during the Alcan City Fair within 48 hours of going to the hospital. Further inquiries by the Alcan City public health officials identified that the source of the E. coli contamination was the lettuce that Sam’s had purchased from M&L Produce (a produce supplier located in Tempe, Arizona). Epidemiologists from the Arizona State Health Department determined that the lettuce that M&L supplied Sam’s was from a farm located in Xion, California (the key supplier for M&L Produce).Aside from the six patients who sought treatment, epidemiologists tracked down and conducted interviews with 400 of the fair attendees to identify any potential cases who did not seek treatment and compare data with those who attended but did not become ill. Interview questions pertained to descriptive aspects of the outbreak (person, place, and time). Analysis of data collected on foods eaten allowed the epidemiologists to narrow it down and identify sandwiches served by Sam’s Sandwich Food Truck at the fair on Saturday as the source of infection. Alcan City public health officials were quick to visit the food truck to inquire into their food management and handling. The food truck owner was cooperative and helpful in providing licensing, permits, operations, and sales information.Descriptive epidemiologic studies are often conducted as precursors to analytic studies. Epidemiologic concepts are used to gather data to better understand and evaluate health trends in populations. Data, such as characteristics of the persons affected, place where an incident occurred, and time of occurrence, are collected and analyzed to look for patterns in an effort to identify emerging health problems. It was in just this way that the HIV/AIDS epidemic was first identified.In this Discussion, you will apply the epidemiologic concepts of time, place, and person to a specific population health problem. You will also consider methods for obtaining data to study an issue.To prepare:Examine Table 2.2 in your Curley textbook. Select a topic from the table to use for this Discussion.Locate two scholarly articles that provide background information about the problem.Identify a specific population affected by your selected health problem.Research the patternsof the disease in your selected population using the epidemiologic characteristics of person, place, and time.Consider methods for obtaining data to examine the association you selected.Ask yourself: How would the methods I select influence the accuracy of case identification, definition, and diagnosis?By Day 3 of Week 2Posta cohesive response that addresses the following:Describe your selected health problem using the epidemiologic model (person, place, and time), with a focus on the population affected by this problem.Discuss sampling methods you could use to collect primary data to describe and study your health problem.Identify two secondary data sources that you could use to collect the data needed to address this topic.Explain how these methods and sources would influence the completeness of case identification as well as the case definition/diagnostic criteria used.

Calculate the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less.

Last year Marion Dairies decided to enter the yogurt market, and it began cautiously by producing, distributing, and marketing a single flavor—a blueberry-flavored yogurt that it calls Blugurt. The company’s initial venture into the yogurt market has been very successful; sales of Blugurt are higher than expected, and consumers’ ratings of the product have a mean of 80 and a standard deviation of 25 on a 100-point scale for which 100 is the most favorable score and zero is the least favorable score. Past experience has also shown Marion Dairies that a consumer who rates one of its products with a score greater than 75 on this scale will consider purchasing the product, and a score of 75 or less indicates the consumer will not consider purchasing the product.Emboldened by the success and popularity of its blueberry-flavored yogurt, Marion Dairies management is now considering the introduction of a second flavor. Marion’s marketing department is pressing to extend the product line through the introduction of a strawberry-flavored yogurt that would be called Strawgurt, but senior managers are concerned about whether or not Strawgurt will increase Marion’s market share by appealing to potential customers who do not like Blugurt. That is, the goal in offering the new product is to increase Marion’s market share rather than cannibalize existing sales of Blugurt. The marketing department has proposed giving tastes of both Blugurt and Strawgurt to a simple random sample of 50 customers and asking each of them to rate the two flavors of yogurt on the 100-point scale. If the mean score given to Blugurt by this sample of consumers is 75 or less, Marion’s senior management believes the sample can be used to assess whether Strawgurt will appeal to potential customers who do not like Blugurt.Managerial ReportPrepare a managerial report that addresses the following issues.Calculate the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less.If the Marketing Department increases the sample size to 150, what is the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less?Explain to Marion Dairies senior management why the probability that the mean score of Blugurt for a random sample of Marion Dairies customers will be 75 or less is different for samples of 50 and 150 Marion Dairies customers.DiscussionInitial post prompt: Your Managerial Report serves as your initial post to the discussion forum.After responding to the requirements posed by the Managerial Report, also provide an example in your career in which you believe one of the lessons learned from the Case has been/could be applicable. Alternatively, if you don’t have/foresee direct experience relevant to your current position, what type of scenario can you anticipate occurring where you can utilize one of the lessons learned from examining this case?Response post prompt:Consider Managerial Reports posted by two of your peers. One or both of your responses may be to Managerial Reports for a case problem different from your own.Think critically and ask open-ended questions. If you agree, consider their position and expand upon their ideas. Provide an additional perspective. If you disagree, provide your reasoning. Always be professional and courteous in your responses.Post by classmate 1I find it interesting that the senior management at Marion Dairies has chosen to have their sample be defined by someone who doesn’t like their blueberry yogurt. I understand that they want to expand their market; however, the logic they are choosing seems flawed and likely to cause nonsampling error because negative opinion of one flavor or one product may bias the result of the strawberry sampling.Another potential for nonsampling error that I noticed was surrounding the names of the yogurt flavors. In my opinion the name Blugurt was cute for about two seconds, and then it seems to be something I do not want associated with my food which has the potential to become a marketing nightmare. The name Strawgurt is even worse. I would strongly suggest the sampling to be a blind study where the subjects of the sample are not aware of the names of the yogurt because that could possibly cause unintended nonsampling error if the subject has a particular opinion regarding the name of the yogurt. According to our text, nonsampling error can introduce bias into the sample results which can ultimately mislead the decision makers (Anderson et al, 2020).Alas, that is not what we are here to talk about this evening! First we are asked to calculate the probability that the mean score of Blugurt given by a simple random sample will be 75 or less on a scale of 0 to 100. In order to calculate this probability, I calculated the z value as -1.4142 and used the standard normal distribution table to find the probability of 0.07865. I did the same with an increased sample size of 150 and found the probability to be 0.007153.While the mean remains the same, the increase in sample size causes the standard error to decrease thus impacting the probabilities. Our text also mentioned that the decrease in standard error suggests that the data from a larger sample size becomes more reliable.Anderson, D., Williams, T., Cochran, J., Sweeney, D., Camm, J., Fry, M., & OhlmannB, J. (2020).Modern business statistics with Microsoft Excel(7th ed.). Boston, MA: Cengage.Post by classmate 2For this week’s discussion, I chose case problem 1 from chapter 7: Marion Dairies. In this case study, Marion Dairies’ management and marketing team want to analyze a sample of 50 customers to gain insight on the success of their new yogurt flavor, Blugurt. Customers were asked to rank the flavor on a 100-point scale (0 being least favorable and 100 being the most favorable). A score of 75 or less is believed to indicate that a consumer will not consider purchasing the product. For this case, we are provided with a mean score of 80, a standard deviation of 25, and two varying sample sizes to compare (50 and 150). For this simple random sample, we look to analyze the distribution of the sample mean, specifically the probability of the mean occurring at or below a customer rank of 75. Because the population of customers purchasing yogurt is infinite, we can dismiss the application of the population correction factor and simplify the calculation of the standard error to the standard deviation (25) divided by the square root of the sample size (either 50 or 150) (Anderson 2021). Furthermore, given that the sample sizes both exceed 30, general statistical practice ensures that we are observing a normal or near normal distribution, as implied by the rules of the Central Limit Theorem (Anderson 2021). Below is a summary of findings outlined in the managerial report synopsis. Attached is an Excel file to illustrate the findings.Calculate the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less:The probability of the sample mean being 75 or less for Blugurt with a sample size of 50 is 0.07865 or approximately 7.9%. This is demonstrated in the first tab of the attached Excel file and is represented by finding the z value from the population sample of 50. This is calculated by first finding the standard error, represented by the standard deviation divided by the square root of the sample population (3.536) (Anderson 2021). Then the z value is found by subtracting the mean from the target value of 75 and dividing that sum by the standard error (-1.414) (Anderson 2021). By obtaining the z value, excel function (NORM.DIST) can be used to calculate the cumulative probability (area to the left of z = -1.414) which provides the probability that the sample mean will be less than 75 (0.07865 or approx. 7.9%) (Anderson 2021).If the Marketing Department increases the sample size to 150, what is the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less?:The probability of the sample mean being 75 or less for Blugurt with a sample size of 150 is 0.00715 or approximately 0.7%. This is demonstrated in the second tab of the attached Excel file and is calculated in the same way as before. The standard error (2.041) from the standard deviation divided by the square root of the sample population, then the z value by subtracting the mean from the target value of 75 and dividing that sum by the standard error (-2.449) (Anderson 2021). Similarly, by obtaining the z value, excel function (NORM.DIST) is used to calculate the cumulative probability (area to the left of z = -2.449) which provides the probability that the sample mean will be less than 75 for a sample of 150 (0.00715 or appox. 0.7%) (Anderson 2021).Explain to Marion Dairies senior management why the probability that the mean score of Blugurt for a random sample of Marion Dairies customers will be 75 or less is different for samples of 50 and 150 Marion Dairies customers:The reason that the probability varies with the sample size is because the standard error of the mean is affected by changes to the sample size (Anderson 2021). Whenever the sample size is increased, we are accounting for more data and therefore receiving values with less variation and that are more closely representing the population mean (Anderson 2021). As demonstrated above, the sample size increase reduces the standard error and therefore reduces variation in the values collected. Given that the probability and variability decreased with a larger sample, it is safe to assume that there is evidence that the population favors Blugurt and is likely to purchase this product. A similar simple random sample would also be beneficial for gathering point estimations and statistical inference on customers’ views on Strawgurt. By comparing the data collected on both flavors, management can evaluate preference for one or the other and potentially identify if Strawgurt offers another favorable option for customers and hence strengthens their market share, or if it would indeed cannibalize the existing favor for Blugurt and have offsetting outcomes.I personally have not used sample probabilities to make statistical inference on larger populations however, I think that this is a useful tool and concept to understand so that it can be applied to a situation where information is needed for a population that is too large to fully observe. Patient satisfaction is an important metric in evaluating our clinic’s likelihood to recommend and this would be a useful tool to experiment with when we offer a new service such as telemedicine or reservation options within our service line. Since the entire population cannot be surveyed, data gathered on a random sample could provide meaningful insight into the success of changes to our business model.References:Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., Cochran, J. J., (2021). Modern Business Statistics with Microsoft Office Excel (7th ed.)

Contrast some strategies operations managers use to manage scheduling.

The operations manager has a planning team that focuses on managing the resources (labor, machines, etc.) and must find creative ways to balance the priorities and capacity or what should be done first and who should do it of the operation. Planners must work closely with manufacturing, customer service, shipping, and engineering to ensure the operation makes the right product, for the right customer without exceeding production capacity and still meeting the delivery dates of the customers. Discuss some of the challenges and solutions planners deal with to keep resources costs (labor, machines) and deliveries balanced and still meet the customer delivery expectations.Contrastsome strategies operations managers use to manage scheduling.

How do you see this verse applying to the attackers’ attempts at social engineering?

During the COVID-19 stay-at-home requirements, many people worked from home. To carry on business, companies utilized various web-based meeting tools (such as Zoom). Some of these tools lacked robust security. A company, being proactive, sought to assure security against those attempting to take over such sessions.In Christianity, God brings to mind those things we need to ensure protection against, including issues related to computer security. We again look to the word of God for Scripture that tells us that safety can be found in the Lord. Psalm 140:4says, “Keep me safe, Lord, from the hands of the wicked; protect me from the violent, who devise ways to trip my feet” (NIV). We find in the Bible the admonition to seek the Lord in our activities as protection from those that would trick us.Review the material in the Getting Started section, including the specific Bible passage.Be sure to address to the following prompts in your paper:How do you see this verse applying to the attackers’ attempts at social engineering?How would you apply the principles of these verses in your workplace?Your paper should be at least 250 words in length.Submit your assignment by the end of the workshop.

Determine the linear correlation and regression equation between two variables to make predictions for the dependent variable.

CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the dependent variable.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation usingras the test statisticYou are given aspreadsheetthat contains the following information:Magnitude measured on the Richter scaleDepth in kmDeliverable 6 – Analysis with Correlation and Regression.xlsxUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1:Title slideSlide 2:Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4:Find the value of the linear correlation coefficientrand the critical value ofrusing ? = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6:Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7:Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8:Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.

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