Classical Conditioning

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

CONTEXT:Paul the Octopus correctly predicted the winner of 8 out of 8 games played in the 2010 World Cup.  His success brought him lots of fame, including being covered by various news outlets writing about Paul’s “psychic” abilities. In Germany, soccer fans loved watching as Paul the Octopus was presented with two boxes in his tank, each containing a mussel and decorated with the country’s flag of a soccer team. Whichever box Paul chose to eat his mussel from was considered his “prediction” for the winner of the soccer game. Key question to investigate: Could Paul’s success rate have happened by chance? In other words, is Paul’s success rate of 8 out of 8 unusual enough that a model based on random chance is reasonable, or should this model be rejected in favor of a different model to explain his prediction of successes?   Our null model (or hypothesis) is that the probability of choosing either box is 0.5. The alternative model (or hypothesis) is that the probability is something…

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You are the Provost of a University and you want to see if students would like to participate in classroom-based physical activity. You implemented a quick pilot test and collected data after Spring quarter. Below is the first set of data. Based on the data, answer the question. Participant Height (inches) Weight (pounds) Sex (1= male, 2 = Ever participated female) in classroom exercise (1= No, 2 = Yes) Age (1=18-24 years, 2 25-34 years, 3 35-49 years, 4 50 years or older) 1 66 150 1 2 72 150 2 2 4 3 66 150 2 1 2 4 74 215 1 2 1 5 66 112 2 2 6 71 215 2 2 1 7 69 175 2 2 3 8 66 152 1 2 1 9 72 375 1 1 1 10 66 140 1 2 3 What kind of variable is sex and weight? discrete, nominal o dichotomous, discrete nominal, continuous dichotomous, ordinal MAY 18 tv all A MacBook Pro

You are the Provost of a University and you want to see if students would like to participate in classroom-based physical activity. You implemented a quick pilot test and collected data after Spring quarter. Below is the first set of data. Based on the data, answer the question. Participant Height (inches) Weight (pounds) Sex (1= male, 2= female) Ever Age (1 = 18-24 participated years, 2 25-34 in classroom exercise (1 = years, 3 35-49 years, 4 50 years No, 2 = Yes) or older) 66 150 1 1 2 72 150 2 2 4 66 150 2 1 2 4 74 215 1 2 1 5 66 112 2 2 6 71 215 2 2 7 69 175 2 2 3 8 66 152 1 2 9 72 375 1 1 10 66 140 1 2 3 What type of variables are height and sex? continuous, dichotomous discrete, ordinal discrete, dichotomous O discrete, nominal

Determine which evaluation guideline(s) apply in questioning the results of the described study.A mathematics teacher wanted to determine whether assigning homework had a beneficial effect on student learning in first year algebra. His class met at 8:00 in the morning and he obtained the cooperation of another teacher of the same class that met at 2:00 in the afternoon. He gave his class no homework while the other teacher continued to assign homework as he usually did. Both teachers gave the same tests so that they could compare the results.A) Consider possible confounding variablesB) Consider the sampleC) Consider the measurement of the variable of interestD) All of the above

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A study was done to determine if the time of day affected ther performance of a certain alegebra class. the same class was used in the experiment over a 6-day time span.

Paragraph Styles 7. In recent years, researchers have differentiated between two types of internet harassment: cyberbullying and Internet trolling. In a recent study of cyber harassment, a large sample of online participants answered survey questions related to personality, cyberbullying history, and Internet trolling. Below are scores that capture the relationship between cyberbullying and internet trolling observed by the authors: TTT Cyberbullying score 2 Internet trolling score Participant A 1 4 7 7 E 9 8 a. Is there a significant relationship between cyberbullying and trolling scores? Test at an alpha level of .05. c. Create a graph of your results that is appropriate for this type of analysis 17

Hi, can I get some help with selecting the individuals and variables in this study?

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In 1998, there was a major ice storm in Maine. Researchers wanted to know whether there was an association between generator location (inside or outside) and CO poisoning after an ice storm. Results from their case-control study are summarized in the table below (cases are observations that have experienced the CO poisoning, controls are observations that have not experienced the CO poisoning): What type of table is this? Name at least 2 tests you can perform to investigate the association between generator location and CO poisoning after an ice storm.  Calculate the odds ratio and risk ratio based on this table. Which one is more appropriate for this type of study design?

How is the study condition within subjects design?

pls help   Many delivery trucks feature a "How Am I Driving?” sticker on the rear bumper, along with a phone number. This sticker allows drivers to report erratic driving by the truck driver or offer a compliment if they like. A dispatcher at the trucking station accepts calls and records information from those who call the phone number. The dispatcher reports that in the past month, 218 calls were received. Of those calls, 178 reported negative driving behaviors by the truck drivers. How might this data-collection method produce bias in obtaining an estimate of all drivers who are satisfied with the company’s truck drivers? This sample may lead to nonresponse bias because many drivers may not call the phone number. This sample may lead to undercoverage bias because some drivers will be more likely to be included in the sample. The sample may lead to response bias because some who call the phone number may not provide a truthful opinion. This sample may lead to voluntary response…

Nine students held their breath, once after breathing normally and relaxing for one minute, and once after hyperventilating for one minute. The table indicates how long (in sec) they were able to hold their breath. Is there an association between the two variables?

I'm a bit confused by the wording of step two in this project's procedure (posted below). My brain may be a bit fried at the moment but it sounds like it is asking for three variables (one categorical and two continous). Am I correct in thinking this?   Procedure: Devise two research questions based on the variables in the Student Data Table. Identify the variables to be utilized. One should be categorical (which may be created from a continuous variable, i.e., variable months enrolled at TESU; Categories: less than one year and one or more years) and two should be continuous variables. Use descriptive statistics to describe the variables both numerically and graphically. Devise hypotheses for both research questions. Identify the appropriate statistical tests using alpha=0.05. Perform the statistical tests. Write up the results.   Variables in the dataset: TESU school in which you are enrolled    Arts and Sciences Applied Science and Technology Business and Management…

Can I get some help with identifying the variables and individuals?

A police station had to deploy a police officer for an emergency multiple times in the last four evenings. The table below shows the number of emergencies each evening. Weekday Monday Tuesday Wednesday Thursday What would be their forecast for Friday using a naïve forecasting approach? Forecast for Friday calls Number of calls each day 9 6 11 14

Below you will find a research scenarios.  Your task is to identify the proposed analysis and why you chose that analysis for each of these scenarios.  State the research question that aligns with the scenario and the analysis.  Next run the appropriate analyses and report your findings in APA Research scenario 2: Historians are interested in the accuracy of eyewitness accounts of traumatic events. One study examined survivors' recall of the sinking of the ship Titanic (Riniolo, Koledin, Drakulic, & Payne, 2003). The researchers reviewed the transcripts of survivors' testimony at governmental hearings (www.titanicinquiry.org) to see whether they testified that the ship was intact or breaking apart during the ship's final plunge (it was in fact breaking apart). To test for eyewitness accuracy, testimony of 20 survivors was examined to see if there was an equal likelihood of survivors saying the ship was intact or breaking apart. Datafile: titanic.xlsx Your response should contain…

Does the example represent an observational study or an​ experiment?   Car accident data is obtained from the Ohio database. It is found that more accidents happened at night.

A researcher is comparing the effectiveness of two sets of instructions for assembling a child’s bike. A sample of eight fathers is obtained. Half of the fathers are given one set of instructions and the other half receives the second set. The researcher measures how much time is needed for each father to assemble the bike. The scores are the number of minutes needed by each participant. Instruction Set I Instruction Set II 8 14 4 10 8 6 4 10 Is there a significant difference in time for the two sets of instructions? Use a two-tailed test at the .05 level of significance. What is the computed value? What would be the null hypothesis in this study? What would be the alternate hypothesis? What probability level did you choose and why? What is your p-value? Is there a significant difference between the two groups? Interpret your answer. If you have made an error, would it be a Type I or a Type II error? Explain your answer.