Define deseasonalisation of data.
Q: particial correlation
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A: there is three points to reduce the effect of p- hacking and dreadging--
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A: Which measure of central tendency should be used if the data are not skewed, does not contain any…
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A: Variable for description: Brand/Color/Mileage/size
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A: Given that: Five-number summary: 1, 4, 10, 12, 15
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A: Consider the independent variable Income: There exists a positive relation between income and…
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A: Here the dependent variable (y) is store cost.The independent variable (x) is revenues.Given…
Q: How many rows or observations are there in the msleep.csv data set?
A: Step 1: Step 2: Step 3: Step 4:Here we can clearly see that there are 84 rows in this dataset hence…
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A: Test Statistic: The test statistic to estimate the population correlation is as follows: Here, r is…
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Q: Courtney and Lexi wondered if the distribution of color was the same for name-brand gummy bears…
A: The expected count formula is, Expected=Row totalColumn totalTotal It is known that the given values…
Q: 7 1 point Consider the following two datasets: [1.4.1.1.1.4,2.1,4.4,3.3,4.7,3.2.4.1,4.7] and…
A:
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A: From the given information,Player APlayer B2, 3, 1, 3, 2, 2, 1, 3, 62, 1, 3, 8, 2, 1, 4, 3, 1
Q: For a given data set X of three-dimensional samples, X = [{1,2,0} , {3,1,4} , {2,1,5} , {0,1,6} ,…
A: Outliers are the observations which lie away from all of the other observations in the data.…
Q: Conduct a descriptive analysis of the sample of business students which includes the following: i.…
A: To conduct a descriptive analysis of the sample of business students, follow these steps: Step 1:…
Q: he issue/scenario: A bio-tech firm has provided you with 1 years’ worth of sales for a sample of 45…
A: Hi! Thank you for the question, As per the honor code, we are allowed to answer one question at a…
Q: of this calculation and how do they mean and median each represent the central tendency of this data…
A: Data set : 0 5 10 15 20 25 Mean 12.5 Median 12.5 Mode No Mode as there are no repeated values…
Q: The issue/scenario: A bio-tech firm has provided you with 1 years’ worth of sales for a sample of 45…
A: From the given information, there are two groups in Engineer category, 'No' and 'Yes'. The…
Q: Suppose the scatter diagram of a random sample of data pairs (?, ?) shows no linear relationship…
A: The coordinates (?, ?) be (x, y)
Q: A scatter diagram cannot be created for more than 100 data values. O True False
A: FALSE
Q: A student states that a decrease in the “percent of 18-64 yr-olds with no high school diploma” will…
A: Introduction: From the given problem, it appears that the student obtained a positive correlation…
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A: Consider the Table-4 The coefficient of the owner is 374.5049.
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A: Median student debt Average salary after 10 years Harvard University 12665 136700 Princeton…
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A: Genetic privacy” is a complicated concept, and a new study finds that decoding how people feel about…
Q: 1 Make a scatter plots by sex for VistsPerWeek vs. Friends for those in the Facebook_Survey_Sample…
A: Here, we have the data table of Facebook survey sample. Also mention that , about the first column…
Q: A sample of job applicants is selected to analyze the number of years of experience the job…
A: The given data set is : { 1, 3, 3, 1, 2}


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- A group of researchers followed 10 firms from 2010 to 2022 to determine the effect of new tax policies on firms' performance: Firm ID = 1,...,10 Year = 2010,...,2022 I2010 = Investment during year in 2010 ... I2022 = Investment during year in 2022 F2010 = Real Value of the Firm in 2010 ... F2010 = Real Value of the Firm in 2022 What type of data set is this? a. time-series b. panel (longitudinal) c. none of the above d. cross-sectionR Studio library(poliscidata) 2. (Dataset: nes. Variables: dhsinvolv_message, polknow_combined.) Online political activism is a relatively new phenomenon. In recent years, online social networks like Facebook and Twitter have become part of our everyday experiences and, for many people, a forum for political news and debate. From your own personal experiences, you may have some impressions about who is likely to post political messages online, but our personal perspectives are bound to be limited and incomplete. Let's use the nes dataset to gain a better understanding of who uses social media to promote political ideas. Survey participants were asked whether they had posted a political message on Facebook or Twitter in the last 4 years and the dhsinvolv_message variable recorded their responses. 1. According to the nes dataset, roughly 20% of respondents indicated that they had posted a social media message about politics in the past 4 years. If the probability of an…A edugen.wileyplus.com WileyPLUS Final Project PLUS Lock, Statistics: Unlocking the Power of Data, 2e Help | System Announcements 4 ВАСК NEXT PRINTER VERSION Chapter P, Section 2, Exercise 062 Identifying Spam Text Messages Bayes' rule can be used to identify and filter spam emails and text messages. This question refers to a large collection of real SMS text messages from participating cellphone users.' In this collection, 747 of the 5574 total messages (13.40%) are identified as spam. The word "free" is contained in 4.75% of all messages, and 3.57% of all messages both contain the word "free" and are marked as spam. The word "text" (or "txt") is contained in 7.01% of all messages, and in 38.55% of all spam messages. Of all spam messages, 17.00% contain both the word "free" and the word "text" (or "txt"). For example, "Congrats!! You are selected to receive a free camera phone, txt ******* to claim your prize." Of all non-spam messages, 0.06% contain both the word "free" and the word…
- TOPIC: MEASURE OF POSITION AND CENTRAL TENDENCYSuppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…2. It is known that the student score data in a class is as follows: 9, 8, 6, 7, 7, 8, 5, 3, 6, 7 Describe the data in terms of central tendency!
- We will refer to the data table below as "Facebook_Survey_Sample". In the first column 1:="yes" and 0:="no" In the "Gender" column 1:="Female" and 0:="Male" VisitsPerWeek Friends 1 45 100 0 0 1 25 60 1 40 80 m 1 40 60 0 0 1 15 40 1 30 25 80 150 90 Facebook 1 1 200 Age 34 65 46 29 21 25 22 18 42 52 Gender 1 0 0 1 1 1 1 1 Make a scatter plots by sex for VistsPerWeek vs. Friends for those in the Facebook_Survey_Sample who have a facebook account.1 a) Hair color is an True False example of a qualitative data.Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there a relationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split into three groups: Low; Moderate/About Average, and; High. To see if salary, measured in this way, is associated with unionization you find a variable in the same dataset called "UNION", which has two categories: the respondent has a unionized job and the respondent does not have a unionized job. Because you want to know if you should favor or oppose becoming a "right to work" state, you test these two variables to see if there is an association between salary level and unionized labor. What type of hypothesis test is most appropriate?
- Identify two graphical methods that can be used to compare quantitative (continuous) data between two independent groups.What are the reasons why causal conclusions cannot be made from a correlation?Suppose a data set has size 10. Indicate which of the following would change if the maximum of the data set was replaced with a larger value. (a)First quartile (b)Median (c)Range (d)Mean



