I need help with this question 1. is the factor interaction significant? explain
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I need help with this question
1. is the factor interaction significant? explain
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- + X HitPaw Onlin Ims.cisjubail.gov.sa/webapps/assessment/take/launch.jsp?course_assessment_id%= 73142_1&course_id=_765: HitPaw Online Scre.. .I - ulicjo Juuluo O RCYCI - Student Inf. O Online C Compiler -. 4 Blackboard Learn 6 * Question Completion Status: QUESTION 8 Let fand g be the function from the set of integers to itself, defined by f(x) = 2x + 1 and g(x) g(x)= 3x + 4. Then the composition (f ° g(x)) of f and g is O A. 6x + 6 О В. 6х + 7 OC. 6x +9 O D. 6x + 8 QUESTION 9can a reasercher/ analyst solve a perfect multicollinearity problem by collecting more and more observations With larger and larger and very large samples?Illustrative Example: Grade 10 learners: 1, 000 learners (population) Random sample: 100 learners sample 100 ороpulation 1,000 Activity 1. Identify whether the following refer to population or sample: _1. The total number of students in a school. _2. A group of 30 patients in a hospital undergoing treatment for COVID. _3. The ages of all vendors in a public market. _4. The top 50 top-earning Filipinos. _5. The list of all countries in the world. Activity 2. Consider sampling the 300 students, in a different way, to obtain a sample of 150 stu-dents. Alongside each name, the numbers 1 and 2 are listed alternately (1, 2, 1,2, .. .). A fair coin is tossed. If the outcome is heads, the sample is taken to be the 150 students with a 'l° next to their name. If the outcome is tails, the sample is the 150 students with a '2' next to their name. a. Using this method, how many possible samples of 150 can be obtained? b. Does every student have the same chance of selection? c. Is this a simple…
- cation.wiley.com/was/ui/v2/assessment-player/index.html?launchld%3D23444A65-4cc0-4df8-ble1-88275c2bf7cd#/guestion/2 rk updated Question 3 of 9 -/1 三 View Policies Current Attempt in Progress Who Is More Trusting: Internet Users or Non-users? In a randomly selected sample of 2237 US adults, 1754 identified themselves as people who use the Internet regularly while the other 483 indicated that they do not use the Internet regularly. In addition to Internet use, participants were asked if they agree with the statement "most people can be trusted." The results show that 807 of the Internet users agree with this statement, while 130 of the non-users agree." Find a 99% confidence interval for the difference in the two proportions, p, - PN,where p, is the proportion for the internet users who agree with the statement and py is the proportion for the non-internet users who agree with the statement. Round youranswers to three decimal places. The 99% confidence interval is to Hampton, K., Goulet,…Known for their grand design and impeccable aesthetic, UQ's lecture theatres are well appreciated by their students. In fact, some lecture theatres even have sound systems with high quality sound opposed to standard sound. However, the high quality sound systems face issues and sometimes do not work faultlessly. In fact, it is known that these high quality sound systems work faultlessly 86% of the time each week. A random sample of 10 lecture theatres with high quality sound is selected and monitored over the week. What is the probability that these lecture theatres work faultlessly more than seven times? (3 decimal places) Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.What is a predictor-corrector method? How is it different from an embedded Runge-Kutta method?
- O NWP Assessment Player UI Appli x O CCSU - Meeting Detail prin X 9 NWP Assessment Player UI Appli X ent.education.wiley.com/was/ui/v2/assessment-player/index.html?launchld%36a59eb28-30ec-4b3f-9a67-cba2a3a48b85#/question/17 -/ 1 Question 18 of 20 Rocket Tracking. A tracking station has two telescopes that are 3 miles apart. Each telescope can lock onto a rocket after it is launched and record its angle of elevation to the rocket. If the angles of elevation from telescopes A and B are 33 and 84°, respectively, then how far is the rocket from telescope A? 84° 3 mi Round your answer to one decimal place. ...pdf %23 bp tg ho 41 144 PA 24 4. % & E 00what is the meaning of weighted unifrac beta diversity and unweighted unifrac diversity? How to interpretate the data value?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…
- A regional planner obtains random samples of home costs from four Michigan counties. Suppose these home costs are normally distributed in each county and that home prices within each county vary about the same amount. What test should the planner use to learn if the differences in home cost by county are significant? State the null and alternative hypothesis Provide the name of the hypothesis testing method and explain why it is appropriate.2) Provide an example of how the one way ANOVA may be usedLet's assume that a greedy feature selection strategy for feature selection is applied based on Pearson correlation. Put the following actions in the correct order (use 1 for the first action, and 4 for the last action): Compute Pearson correlation between each feature and the target Select the best number of features Sort features based on absolute correlation score Train your model applying a repeated validation strategy, where on each iteration a different number of features is used