Classwork #9-ExplainVariation-TrumpVote

Sahar Rasoul-Math 7 End of Yea X Gspy ninjas book-Google docs.google.com/spreadsheets/d/1j5MotWzsc0V1V3Qyl4rbP_OFOUotaNXCIIFax> Copy of Copy of Col... 8.8 Sahar Rasoul - Math 7 End of Year Digital Task Cards Student Version ☆ File Edit View Insert Format Data Tools Extensions Help Last edit was 5 minu $ % .0 .00 123 Century Go... ▼ 18 Y BIS fx| =IF(B4="Question 1", Sheet2! H21, if(B4="Question 2", Sheet2! H22, IF(B4=" n 100% 36:816 A B C 6 16 A flashlight can light a circular area of up to 6 feet in diameter. What is the maximum area that can be lit? Round to the nearest tenth. 30x 0004 15 A Sheet1 https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.amazon.com%2FSpy-Ninjas-Ultimate-Guidebook-Scholastic%2Fdp 7 8 9 10 11 12 13 14 3 5. 7. a 5 $9 A

the link to the data is given below. please help asap i will upvote!! https://drive.google.com/file/d/1UQC9LitRanJ_xdQIiLCRFQ7FJ4SbtzTe/view?usp=sharing

the link to the data is given below. please help asap i will upvote!! https://drive.google.com/file/d/1Ov-VfoR_pU25sj1Kg0LLxTHu6lxv_Wsc/view?usp=sharing

Slicers allow for simple filtering of data in a row or column. True False

How to find independent and defendant variables

How Democratic is Georgia? Cou X com/webapps/discussionboard/do/conference?action=list_forums&course_id=_21308_1&nav=discussion M ek 6 DESCRIPTION Political Science: Georgia Democrats How Democratic is Georgia? County-by-county results are shown for a recent election. For your convenience, the data have been sorted in increasing order (Source: County and City Data Book, 12th edition, U.S. Census Bureau). Percentage of Democratic Vote by Counties in Georgia 31 41 33 34 34 46 55 + 56 Q Search 5 2 5 49 7 9 S 56 57 57 59 G 38 38 39 43 - © hp a. Make a box-and-whisker plot of the data. Find the interquartile range. 50 66 $ $ ♫ 8 V N 8 TOTAL POSTS 33 hs W

Can someone answer this question? (This is one question)

Example: If a student Vishnu scored 45/50 on exam-1, 92/100 on exam-2 and 55.5/100 on the exam-3, the complete list of data looks like 105, 82, 94.5, 72.5, 92, 91, 52, 86, 100, 96, 98, 109, 96, 90, 92, 55.5 which is the 16 data points Vishnu uses for this project. IMPORTANT: Assume that the complete list of 16 scores as scores of 16 different students in a class and answer the questions below. Q1. What is the sample size of your data? Qualitative Quantitative Neither Discrete Continuous Neither Nominal Ordinal Interval Ratio Q2. Is the data of scores qualitative or quantitative? Q3. Is the data of scores discrete or continuous? Q4. What is the level of measurement for this data?

Please write it step by step with no software for computing the problems

the link to the data is given below. please help asap i will upvote!! https://drive.google.com/file/d/18JRXEQEk8c-voKyNTUhUM9aZGhCWEr1N/view?usp=sharing

https://docs.google.com/spreadsheets/d/10QitIiY-vJVaC88bhhduSVoBw0cXRzsYbPZ-vCZx_Kg/edit?usp=sharing  Here is the link for the excel

* 100% Mon 1:51 PM Uni Bb Pep E Exp O Mai U My *Ix. Que Har Cor CC 201 A My E Sel O Fac a Prir E Pee Am mb//evo/index.html?deploymentid=59965220544781978962 e780357131596&ld%3D894632737&snapshotid-1740686& AGE MINDTAP Q Search this course - Homework 7 (Chapter 14) - Part A O The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with discount brokers. As part of the survey, members were asked to rate the quality of the speed of execution with their broker as well as provide an overall satisfaction rating for electronic trades. Possible responses (scores) were no opinion (0), unsatisfied (1), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker summary scores were computed by calculating a weighted average of the scores provided by each respondent. A portion of the survey results follow (AAII website, February 7, 2012). Brokerage Speed Satisfaction Scottrade, Inc. 2.4 2.4 Charles Schwab 3.8 3.5…

> library(party) > myFormula <- Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width > iris_ctree <- ctree(myFormula, data=trainData) > table(predict(iris_ctree), trainData$Species)   What is the process in the above code in R?   options:   Building a decision tree for the iris data with function ctree() in package party by using  myFormula to put Species as the target variable and all other variables are independent variables, and then using predict() function to check the prediction.    Building a linear regression model for the iris data with function ctree() in package party by using  myFormula to put Species as dependent variable and all other variables are independent variables, and then using predict() function to check the prediction.    Building a random forest  for the iris data with function ctree() in package party by using  myFormula to put Species as dependent variable and all other variables are…

what three articles relate to the Data Analytics & Statistical Applications topics  including the links?

> Search itc.edu.kh v Activity Midterm Statistics(2) (2020-2021GICI31STA_GIC_Statistics_OL Say_Mardi_7-9am) Close Teams Hi DIM LIFY, when you submit this form, the owner will be able to see your name and email address. Assignments 1 Question 5 Calendar (20 Points) Files Let X1, X2, X3,..., Xn be a random sample from a Geometric distribution Geo(0), where 0 is unknown. Find the maximum likelihood estimator (MLE) of O based on this random sample. Recall that the pmf of X ~ Geo(0) is f(x; 0) = (1 – 6)*-10, (a) Ômle = X (b) Ômle = 1/X x = 0, 1, .... %3D (c) Ômle = E=, In X, (d) Ômle = 2X %3D (a) (b) (c) Apps (d) 1:50 PM A Spotify T. General (2020-2021... Details | bartleby - .. A D 4) G E ENG 12/16/2020 O 田

Data mining is the extraction of knowledge and data patterns from various raw data sets by examining patterns from various raw data sets by examining trends and business reports used for classification of data and prediction of the data set. Give an example of an actual or potential application of big data or data mining in a marketing organization. Describe how the application meets the criteria of being big data or data mining.

The National Electronic Injury Surveillance System tracks injuries reported from hospital admissions across the United States (Consumer Product Safety Commission 2018). For the data in 2017, we extracted all incidences of hand injuries that referenced punching a wall. There were 1843 such cases. The surveillance system also records some of the properties of the patients, including gender. Of all cases where a person was admitted to a hospital for injuries from punching a wall, 1352 were recorded as male and 491 were recorded as female. a. Do an appropriate hypothesis test to ask whether the proportion of males among wall-punchers is 50%.

R 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…

COULD YOU SOLVE IT WITH EXCEL SOLVER. I NEED EXCEL SOLVER SOLUTION AND ALSO COULD YOU UPLOAD ANSWER WITH EXCEL SOLVER PHOTOS.   please do not provide solution in image format thank you!

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if a study determines the difference in average salary for subpopulations of people with blue eyes and people with brown eyes is not significant then the populations are blue-eyed people and brown-eyed people are what different salaries

How Panel Data is useful to control some types of omitted variables without actually oberving them?