A companies HR manager has noticed thatthey are not retaining their talent. The HRmanager believes that he can tell you whyemployees are leaving without usinganalytics. What methods would the HRmanager apply that would give him theability to determine this without usinganalytics? Should analytics be used toexplain this? What type of analytics wouldyou use in order to pinpoint where theproblem is?

Answered: Image /qna-images/answer/59b82751-94e3-4c69-ad09-e93d5f1c7c25.jpg

Answered: A companies HR manager has noticed that…

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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A dietetics student wanted to look at the relationship between calcium intake and knowledge about calcium in sports science students. Table 1 shows the data she collected. Respondent number Knowledge score (Out of 50) Calcium intake (mg/day) Respondent number Knowledge score (Out of 50) Calcium intake (mg/day) 1 10 450 11 38 940 2 42 1050 12 25 733 3 38 900 13 48 985 4 15 525 14 28 763 5 22 710 15 22 583 6 32 854 16 45 850 7 40 800 17 18 798 8 14 493 18 24 754 9 26 730 19 30 805 10 32 894 20 43 1085 Does knowledge score predicts the calcium intake of a person?
please answer a b and c
Explain, using illustrations, how descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics approaches can benefit an airline business.
ANOVA. Dr. Milgram is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results. Group 1) “Like a lot” Mean: 8 SS: 2 N: df: Group 2) “Like somewhat” Mean: 5 SS: 6 N: df: Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df: Grand Mean: df Within-Group:__________ df Between-Groups:___________ Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22) for Group 2: ___________…
Please make sure the response is specific to the variables in this problem: Imagine that you are interested in studying the working habits of young adults. You hypothesize that persons first married in their twenties tend to work an average of 5 hours more per week than persons not first married in their twenties. After conducting a survey study, you find a relationship between participants’ age at first marriage and the number of hours worked per week. What three conditions must be satisfied for you to have established a causal connection?
An understanding of statistics is necessary in any job. The use of statistics can help provide answers to many questions. Please, post a question you think that statistics may help you answer and explain why statistics can help provide an accurate answer. Read several of your classmates' postings. Do you agree that statistics are necessary to answer their questions? Is their question one that you would also like to have an answer to? Why or why not?
In general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? Explain
A research study was conducted at a local college collecting data on the models (brands) of cars parked in the student parking lot. This type of data collected would be considered/described as Qualitative Data or Quantitative Data?
Which are the ultimate tools that are being brought in business analytics?
A scientist conducts research and discovers a link between variables A and B. The scientist claims that A is the cause of B based on this association. Is this statement correct? Explain.
A researcher conducts a study comparing anxiety levels in teens based on their social media usage. Teens with higher scores on the anxiety measure are considered more anxious. Below is a table made from their results. Briefly interpret the results by explaining both descriptive and inferential statistics identified.
The following data was collected from a clinical trial testing a new drug aimed to lower blood pressure for individuals older than age 45. Half of the 20 participants received the new drug (Treatment = Yes) and the other half of the participants received a placebo pill (Treatment = No). Their age and gender was also recorded. Please use this data for Questions 17-19 and 20-24 and note, not all the information in the table will be used for either problem, you must decide what is relevant based on what the problem is asking. Subject ID Treatment Age Gender BP_Before BP_After D1 Yes 65 F 103.3 80.5 D2 Yes 59 F 93.6 85.9 D3 Yes 60 M 92 85.2 D4 Yes 54 F 93 87.8 D5 Yes 65 F 95.4 85.3 D6 Yes 57 M 109.6 94.2 D7 Yes 69 M 97.9 83.9 D8 Yes 62 M 96 85 D9 Yes 49 F 98.4 86.3 D10 Yes 45 M 98.4 90 C1 No 63 F 97.4 93.1 C2 No 56…

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