A school psychologist was asked to assess a group of 17 students who failed their math exam. Shescreened for possible learning disabilities and wanted to check their global IQ scores. Each studentwas asked to complete a global IQ test. After conducting a correlation, she found that there was astrong positive correlation with r= 0.79 between IQ and math exam scores which was found tosignificant at p < 0.05. Based on the correlation, IQ was found to explain 61% of the variability in thestudent's math exam scores.After conducting the correlation, the teacher took another random group of 18 students who scoredwell in their math exam. She created two groups based on math exam scores (Group 1 high examscores Vs Group 2 failed exam scores). The psychologist hypothesises that the students in the failedexam score group will have lower global IQs than students in the high exam score group who wereused as a control group.A trial was conducted to assess the impact of IQ on math scores. The two groups of 35 students wereasked to complete a global IQ test. Global IQ data were collected in 35 participants and the followingresults were reported in a journal article.Table. Math exam groups and IQ data for students (N= 35)Participant IDMathIQ Score Participant IDMathIQ ScoreGroupsGroups1100191105822011033110921111242105221975.211023299111824967197251088.108261096.2.1122710411242811710110429111411953021061210631991398943214892109331598110341611001053517Note: Math Groups are coded as 1 = high math exam scores and 2 = failedPreliminary assumptions testing indicated that both the high math score exam group 1 (M= 104.61, SD= 10.64) and failed math group 2 (M = 103.82, SD = 5.38) scores were normally distributed. Anindependent samples t-test was used to compare the IQ for high math exam score group and failedexam group. The ttest was non-significant, t(25.46) = 0.28, p=.783, two tailed, d= 0.092.2.2)212.2)2)2.6o What was the first consideration in the decision process behind the psychologist selecting anindependent samples t test to test their hypothesis?Select one:O a. deciding between a paired or independent samples analysis if samples are independent?O b. deciding between single or independent samples if using a control group?O c. deciding between a z or t test if we don't know the population standard deviation?O d. deciding between paired or independent samples if using a control group?

If we have two samples, first we heck whether the data for subjects is recorded twice for the same…

Answered: What was the first consideration in the…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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A fairly high correlation should exist between the two variables?
A researcher hypothesizes that there is a positive correlation between the hours spent studying and the final exam score. They collect data from 20 students and compute the Pearson correlation coefficient, r, to be 0.75. Using a significance level of 0.05, test the hypothesis that there is a significant correlation between the hours spent studying and the final exam score.
Compute the value of the correlation coefficient between time spend for studyingand current CGPA and describe the relationship.
A sociologist claims that the success of students in college (measured by their GPA) isrelated to their family’s income. For a sample of 20 students, the correlation coefficientis 0.40. Using the .01 significance level, can we conclude that there is a positive correlation between the variables?
A. Validate the claim that the infant has influence on its chest size by testing the linear correlation between the two variables.
Report the correlations between the three independent variables (age, educ and Protestant) and your dependent variable (childs). Which category had the correlation that was the weakest?
The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 23.5 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 23.5 cm, what is the single value that is the best predicted height for that person? The single value that is the best predicted height is _____cm. The regression equation is Height=50.8+3.20 Foot Length Predictor Coef SE Coef T P Constant 50.82 11.65 4.36 0.000 Foot Length 3.1982 0.4903 6.52 0.000 S=5.50372 R-Sq=71.7% R-Sq(adj)=71.0% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 125.978 1.744 (121.356, 130.600) (114.681, 137.275) Values of Predictors…
Test the significance of the correlation coefficient at α = 0.05 between time spent for studyingand current CGPA based on the attached data
With a r value of -.802 and R crit value of 878 how do I interpret it. Do I reject Ho or fail to reject ho. Why? Is this a positive or negative correlation?
Is it possible to use STATcrunch to find the linear correlation coefficient instead of the formula?
A Researcher Studying The Relationship Between Maternal Age And Length Of Breastfeeding In A Sample Of 75 Primiparas Found A Correlation Of .19, Which Was Not Statistically Significant At The .05 Level. What Was The Estimated Power Of The Statistical Test? Conversely, What Was The Risk That A Type II Error Was Committed? If .19 Is A Good Estimation Of The Population Correlation, What Sample Size Would Be Needed In A Replication Study To Achieve Power = .80 At Α= .05?
Suppose you've done a study and you're writing up your results for a presentation in an APA journal. You want to report a significant correlation of -.72 with degrees of freedom of 51. How would you report this in the literature (with the correct APA format)?

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