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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If observations are independent, that means that one observation has influenced another. True False
(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%).
There is a strong correlation between the number of students graduating from SVS and the population of squirrels in York Region. The most likely type of causal relationship is:A.cause and effect B.accidental C.presumed D.reverse cause and effect
A student noticed that when she gets less than 8 hours of sleep at night, she scores lower on her test grades. Can one conclude that this positive correlation shows a causal relationship? OYes, because it is well known that less sleep lowers test scores OYes, because it is not a negative correlation O No, because all students get less than 8 hours of sleep at night No, because it is possible that the student gets lower test grades because of another factor, such as not studying
Warren wants to know if the amount of coffee that you drink is related to the number of hours that you stay awake. He recruits 50 participants using random sampling to report how much coffee they drank and the time of the day that they went to sleep. He then performs a correlation to determine the association between the amount of coffee that was consumed and the number of hours that they stayed awake. There was a statistically significant positive correlation between amount of coffee that participants drank and the number of hours that they stayed awake, r(49) = .82, p < .05, two-tailed, r2 = .08. This was a small effect – 8% of the variance in the amount of coffee drank is explained by hours that you stay awake (and vice versa).
These two questions please.
One professor who teaches statistics gave students one homework assignment. He asked students to find a two-variable data set and compute the Pearson correlation coefficient. One student found a data set: one variable is students' midterm test score in an introductory microeconomics class and total observations are 45 students; while the other one variable is also students' midterm test score in another introductory microeconomics class and total observations are 57 students. Both of these two classes were taught by the same instructor in spring 2018. Does this student's data set make sense? Why or why not? Discuss and explain your reasons. You must provide your statistical analysis and reasons.
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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?
. Dr. Hafen is doing research on the effects of study time (how many minutes students study) on test performance (their score on an exam). He hypothesizes that the amount of study time will impact an individual’s performance on the exam. Then Dr. Hafen collects data on 100 students. He collects data on their ‘study time’ and their ‘exam performance’, then runs a Pearson correlation. In your own words, please describe what Dr. Hafen’s null hypothesis would be and what Dr. Hafen’s alternative hypothesis would be. If Dr. Hafen makes a Type I error, what would that mean in the context of this study? If he makes a Type II error, what would that mean in the context of this study?
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