A professional employee in a large corporation receives an average of u = 44.1 e-mails per day. Most of these e-mails are from other employees in the company. Because of the large number of e-mails, employees find themselves distracted and are unable to concentrate when they return to their tasks. In an effort to reduce distraction caused by such interruptions, one company established a priority list that all employees were to use before sending an e-mail. One month after the new priority list was put into place, a random sample of 33 employees showed that they were receiving an average of x = 35.8 e-mails per day. The computer server through which the e-mails are routed showed that o = 15.1 Has the new policy had any effect? Use a 1% level of significance to test the claim that there has been a change (either way) in the average number of e-mails received per day per employee. What is the level of significance? Ο α-0.98 Οα-0.99 a = 0.01

A professional employee in a large corporation receives an average of u = 44.1 e-mails per day. Most of these e-mails are from other employees in the company. Because of the large number of e-mails, employees find themselves distracted and are unable to concentrate when they return to their tasks. In an effort to reduce distraction caused by such interruptions, one company established a priority list that all employees were to use before sending an e-mail. One month after the new priority list was put into place, a random sample of 33 employees showed that they were receiving an average of x = 35.8 e-mails per day. The computer server through which the e-mails are routed showed that o = 15.1 Has the new policy had any effect? Use a 1% level of significance to test the claim that there has been a change (either way) in the average number of e-mails received per day per employee. What is the level of significance? Ο α-0.98 Οα-0.99 a = 0.01

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Description: A professional employee in a large corporation receives an average of u = 44.1 e-mailsper day. Most of these e-mails are from other employees in the company. Because ofthe large number of e-mails, employees find themselves distracted and are unable

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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assume that the facility has been operational for 6 months. The company was fully staffed on Day 1 but recently has seen an increase in turnover. In response, the HR Director (located in NE) began the process of gathering data from both turnover reports/exit interviews from both locations for the first half of the year (January – June). Below is a breakdown of turnover by Position, Exit Month, Department, Location, Manager, and Reason. Unfortunately, the Reason has not been recorded consistently at the Texas location and the HR Manager (who would know this information) has recently left the company. Based on the data provided, what conclusions could you draw regarding potential issues at these facilities Position Pay Grade Exit Month Department Location Manager Reason Customer Service Rep 7 Janurary Operations TX Smith Job Fit Customer Service Rep 7 February Operations NE Jones Lack of Growth Marketing Manager 13 March Marketing NE Shultz Personal Operations Lead 8…
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The following table lists animals that have some of the longest lifespans on earth. Does incubation or gestation time affect an animal’s average lifespan? Some animals have lifespans that average well over 100 years.Animal: Nile, Crocodile, Aldabra Giant Tortoise LakeSturgeon, Galapagos Tortoise, Bowhead Whale Average Lifespan (in Years): 100,152,152,177,211Incubation/Gestation (in Months): 3, 8, 0.25, 4.7,13.5 Is there a correlation between an animal’s gestation/incubation period and its average lifespan in years? a. Draw the scatterplot for the variables. b. Describe the relationship, if any, shown by the scatterplot. c. Calculate r, the correlation coefficient. How does the correlation coefficient compare to the relationship you saw in the scatterplot?
COVID-19 (novel corona virus) took the world by surprise in late 2019. By early 2020, nearly all countries worldwide were affected.Early reports from the US Centers for Disease Control and Prevention (CDC) estimated that approximately 3% of infected patients in the United States between the ages of 55 and 64 had died. This figure is known as the mortality rate of the virus for this age group. Suppose a sample of 1120 infected patients in the United States between the ages of 55 and 64 were randomly selected and 34 of the patients were known to have died. Use the p-value method to determine if the sample data support the conclusion that the mortality rate of patients between the ages of 55 and 64 is greater than 3%. Let α=0.01State the null and alternative hypothesis for this test. H0= H1= Determine the test statistic for the hypothesis test. Round the solution to two decimal places. = Determine the p-value for the hypothesis test. Round the solution to four decimal places. = Determine…
A professional employee in a large corporation receives an average of 44.8 e-mails per day. Most of these e-mails are from other employees in the company. Because of the large number of e-mails, employees find themselves distracted and are unable to concentrate when they return to their tasks. In an effort to reduce distraction caused by such interruptions, one company established a priority list that all employees were to use before sending an e-mail. One month after the new priority list was put into place, a random sample of 43 employees showed that they were receiving an average of x= 36.8 e-mails per day. The computer server through which the e-mails are routed showed that s.d= 19.2. Use a 10% level of significance to test the claim that there has been a change (either way) in the average number of e-mails received per day per employee. Find (or estimate) the P-value. Round your answer to three decimal places.
Burkina Faso, a landlocked country in West Africa, has the lowest adult literacy rate in the world (25.3%). Over the past 15 years, the government has focused heavily on improving access to education across the country. Between 2008 and 2015, the primary school completion rate rose from 40% to 60%, and the high school completion rate doubled over the same period from 15% to 30%. Despite these encouraging statistics, children in rural areas, especially girls, continue to have limited access to quality education. You put together a survey to collect information on the following variables and you are ready to analyze: Gender Age at last birthday Distance from school Level of education (Primary, Secondary, Post-Secondary) Discuss what measure of central tendency is the most appropriate for each variable making sure to explain why.
The success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airines compete is on-time arrival. The file LateFlights contains a sample of data from delayed fights showing the number of minutes each delayed fight was late for two dfferent airlines, Deita and Southwest. Click on the datafile logo to reference the data. DATA file Delta Southwest Delta Southwest Delta Southwest Delta Southwest Deita 36 30 34 38 119 120 63 37 35 67 114 53 102 55 8 87 68 100 43 50 86 74 17 66 87 35 40 34 64 41 53 30 86 33 57 61 7. 46 S2 26 70 62 75 54 80 a. Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. 41= population mean minutes late for delayed Deita flights Ha = population mean minutes late for delayed Southwest flights Ho: H- 2Select your answer H.: -4a- Select your answer b. What is the sample mean number of minutes…
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A researcher thinks some social media sites are more prone to narcissistic behavior (excessive posting) than others. To examine the relationship between narcissism and social media, she recruits users of three different social media sites (Facebook, Twitter and Instagram), follows them for 24 hours and records the number of posts made by each user. The number of posts is given in the table below. Twitter Facebook Instagram 10 7 14 10 8. 10 10 10 11 9. www. 12 wwww. 11 13 12 8. 7 8. 11 8 10 12 11 11 a. Perform a complete hypothesis test to determine whether there are any significant differences among the three groups. Test at the .05 level of significance. SHOW ALL YOUR WORK b. Do you need to perform post hocs? Explain but do not compute the post hocs. C. Compute effect size. d. Summarize your findings in a source table. e. Write an interpretation of our results in APA-format (include means and SDs in your interpretation)
Is there a link between dark chocolate and weight loss when compared to milk chocolate? A nutritionist gathers 60 people, selected at random, then randomly assigns half of the group to eat a single dark chocolate bar after dinner each night and the other half to eat a single milk chocolate bar after dinner each night for 6 months. Everyone is to keep track of the other food they eat in an app provided. The nutritionist then compares each person’s weight after the 6 months to their weight before eating the different chocolates accounting for the other calories consumed. 12) What type of study does this describe? a) Survey b) Observational study c) Experimental study
Total DVD and Blu-ray disc sales in 2009 were $8.72 billion. For the purposes of this problem, you will combine DVD and Blue-ray disk sales into one category of DVD sales. A study by In-Stat predicted that "physical disc sales will decline by $4.7 billion by 2014," and that "streaming, on the other hand, should grow from its current $2.2 billion to $6.3 billion over the same time period (2009–2014). d. Write an equation that represents the linear model for streaming videos. Let S = the total sales of streaming videos in billions of dollars, and t = the number of years after 2009. e. In what year do the models predict streaming video sales to exceed DVD sales?
In February 2021, the Chicago Tribune reported:“The overdose epidemic that has ravaged Chicago has not spared the nearby suburbs, some of which have death rates comparable to anything seen in the city, according to a report released this week by the Cook County Department of Public Health. ZIP codes in the towns of Worth, Broadview, Maywood, and Forest Park, areas that “have substantially lower median household incomes and higher poverty rates,” have been especially hard-hit, the report said.”In the article, they claimed that lower incomes were associated with higher overdose death rates and that overdose death rates are increasing over time. The data you have been analyzing wasn’t focused on Chicago, obviously. But do your results support the general gist of the statistical argument being made in this Tribune excerpt? Please address:• Do overdose death rates appear to be associated with per capita income (use scatterplot)?• Do overdose death rates appear to be increasing over time…