BarrettLab: Independent Samples t-TestSuppose you are a researcher interested in the factors influencing papers grading by professors. You have ahunch (and/or previous research) that might lead you to predict that papers that are typed are rated higherthan papers that are handwritten. Research to date though, has only been correlational and thus little can besaid in terms of a cause-and-effect relationship.You have 10 freshman students currently taking English as well as an Introductory Psychology course eachwrite one paper. They should each provide two copies of their paper (one typed and one handwritten). Next,we enlist the aid of 20 English instructors. We randomly assign 10 instructors to each of two groups. Eachinstructor in one group (the control group) will grade each of the 10 papers that are handwritten, while thesecond group (the experimental group) will grade the same papers that are typed.Since we are not interested in the differences between the scores of the 10 papers graded by an instructor, wesimply calculate the mean grade given by each instructor. Note that one of the instructors in the WrittenGroup had to be excluded because their dog ate the papers they were given to grade Thus, we then have19 means.Written (Sample₁) Typed (Sample2)84898981878287858983Psy 330818179808487758388Does the format of an essay influence its grade? If the influence was significant, find the effect sizes. Checkyour assumptions.1. SPSS analysis - make sure to obtain all values necessary to plug into your steps.a. List and check your assumptions.b. Annotate. Note: the Chapter 9 example was annotated by the highlighting was difficult to see.Please zoom in to that example, looking for the yellow highlighter.2. List and the hypothesis steps, based on the Chapter 9 example.

There are two independent samples taken in which one represents the handwritten paper and the other…

Answered: Suppose you are a researcher interested…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Over the course of a year, you find a strong, positive correlation between ice cream sales and pool drownings in a medium-sized city. The mayor decides that to prevent drownings, ice cream will be banned within the city limits. However, you show the mayor that after controlling for the high temperature of each day, the correlation between ice cream sales and number of drownings drops to zero, because that relationship was actually: Group of answer choices direct. interactive. mediating. spurious.
If it was found that two variables have a statistically significant relationship, we conclude that one variable affects the changes in the other variable without further information. This statement is (select one) True False
Mrs. Kelley noticed a strong positive correlation between the hours students said that they studied for a test and their scores on the test. Which fact would lead you to believe that the relationship between studying and test scores is one of causation and not correlation?
(True/False). These data show that 80% of companies worth $75K or more are tracking the online and cellphone activity of 47% percent of US adults. (True/False). These data show that in comparison to companies, the government is less likely to track online activity. (True/False). These data show that companies run by individuals ages 18 to 29 years old are the most likely to track online activity. (True/False). These data show that the government is very likely to track Black adults (60%) and Hispanic adults (56%) and less likely to track White adults (43%).
Help me please
These two questions please.
Rewrite the following sentence to remove its primary problem "We hypothesize that grade level has an effect on academic success."
Welcome to my favorite game: Is it Correlational (Descriptive or Predictive) or Experimental? I am going to describe a study below. Your task is to identify whether this study is either correlational or experimental. If it is correlational, further indicate whether it is descriptive or predictive. Guidry et al. (2020) conducted a survey of 788 US adults on their willingness to get the COVID-19 vaccine. The results found that race (specifically, being Black) was related to less willingness to receive vaccine. Is this study design correlational (if correlational, also indicate if it is descriptive or predictive) or experimental?
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?
In a few sentences come up with your own idea for either an experimental OR observational study. Why would this study be either experimental or observational? Identify the explanatory and response variables
Ms. Long studied her students' physics test scores and sleeping habits. She found that students who slept less tended to earn lower scores on the test. What conclusion should she make? There is no correlation between test score and amount of sleep. There is a correlation between test score and amount of sleep. There is probably also causation. This is because there is a decrease in a student's test score with a decrease in the amount of sleep. There is a correlation between test score and amount of sleep. There may or may not be causation. Further studies would have to be done to determine this.
Melinda thinks that stress might predict lower grades on a statistics final exam. She gives a sample of statistics students a questionaire and then looks for relationships between their answers and their final exam scores. Although she finds no support for her original hypothesis, she does find that the the numbers of hours that students work outside of school is related to exam performance. When she reports the results of her study, she presents them as if the relationship between number of hours worked and exam performance was her original hypothesis. This is a questionable research practice known as: a. open science b. p-hacking c. HARKing d. constraints of generality

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