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estion Completion Status: QUESTION 1 A drug company is testing a new pain reliever. They select 100 arthritis patients and effects. 23% report that they experienced unwanted side effects. Name any sample statisticS For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac) conduct a double blind test of the drug to see if there are any unwanted side iX T TTArial TE 3 (12pt) Words 0 Path: p 0UFSTIO N 2 Save All An:P bunit. Chok Sare AfAzisiuars to save allonswers Chck Saue and Subrit to smue and

Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house price? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis) Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps for your method. Also, will you conclude that larger house corresponding to higher price (justify)?

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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

Produce a CROSSTAB for the variables CLASS and RECYCLE. Before conducting your analysis, first reverse code SATJOB so that 1 = Very Dissatisfied; 2=Moderately Dissatisfied; 3=Moderately Satisfied; and 4=Very satisfied. Set all other values (8, 9) to system missing. Then examine the relationship between social class and job satisfaction by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer’s V, Lambda, or Gamma). Set alpha to .05. State the null and research hypotheses: H0: H1: What is the obtained chi-square value? What is the significance level (p-value) for the obtained chi-square? Should we reject or fail to reject the null hypothesis? Is there a statistically significant relationship between these variables? Which measure of association would be most appropriate for these variables? What is the value of the measure of association? Interpret your findings by…

Select the correct sentence in the passage. Which sentence best supports the idea that artificial and human translators are comparable?   A Computer Can Now Translate Languages as Well as a Human by Vanessa Bates Ramirez (excerpt) In other words, it’s finally happened: computers are smarter than people. In a contest that tested the new software against human translators, it came close to matching the fluency of humans for some languages. People fluent in two languages scored the new system between 64 and 87 percent better than the previous one. Google is already using the new system for Chinese to English translation and plans to completely replace its existing translation technique with the GMNT.

national standard requires that public bridges over 20 feet in length must be inspected and rated every 2 years. The rating scale ranges from 0​ (poorest rating) to 9​ (highest rating). A group of engineers used a probabilistic model to forecast the inspection ratings of all major bridges in a city. For the year​ 2020, the engineers forecast that 4​% of all major bridges in that city will have ratings of 4 or below. Complete parts a and b.       a. Use the forecast to find the probability that in a random sample of 8 major bridges in the​ city, at least 3 will have an inspection rating of 4 or below in 2020.   ​P(x≥​3)=nothing ​(Round to five decimal places as​ needed.)

Please help!! From these following topics in CANADA, choose one of the 3, and formulate a research question, in which you could analyze the data. Sawn wood: Sawn wood, production, deliveries and stocks by species Weather: Weather data for Hamilton January 2020 Basketball - The Raptors: Statistics with the players

Find part B

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A data set contains 10 numerical predictors, 7 categorical variables with 2 levels, and 3 categorical variables with 4 levels. How many candidate models does the “all possible” procedure generate? (please show how to do it)

MUST USE SPSS PLEASE! A researcher wants to examine the relationship between a freshman’s motivation and GPA after their first semester enrolled in a university. The researcher sent out an initial survey to measure the motivation of a small group of incoming students at the beginning of the semester and a follow up questionnaire examining their GPA at the end of the semester. Use the following data the researcher gathered to complete each step of the assignment instructions. What would be the predicted first semester GPA of a student who attained a motivational score of 4.5 at the beginning of the semester?   Motivation GPA 1 3.4 6 3.4 2 2.5 7 3.1 5 2.8 4 2.6 3 2.1 1 1.6 8 3.1 6 2.6 5 3.2 6 3.1 5 3.2 5 2.7 6 2.8 6 2.6 7 2.5 7 2.8 2 1.8 9 3.7 Use the SPSS program to calculate the correlation and create a scatterplot.   Provide the appropriate output given by the program.   Describe this relationship (both in strength and direction…