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…

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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As quality control inspector, you have previously believed a claim that 3.2% of items made on your production line are defective. To see if you should still believe this claim: you decide to do a two sided significance test, with a significance level of 2%. You then randomly sample 420 items from the production line, and find that 22 of the items are defective. Which of the following are correct general statements about the conclusion that you find from the significance test? Select all that apply 1. The P-value from your test, is less than or equal to your chosen alpha value. 2. Your sample results are not statistically significant. 3. You reject the null hypothesis in favor of the two sided alternative. 4. Your sample results are statistically significant 5. Based upon the evidence from your significance test, you should no longer believe the null hypothesis claim. 6. Based upon the evidence from your significance test, you have no reason to stop believing the null hypothesis…
Below indicate whether the appropriate test would be an independent t-test, dependent t-test, One-way ANOVA, or z-test. A researcher studying psychological well-being between children from single-parent vs. two-parent families recruits 20 children from two-parent families and 20 children from single-parent families and measures their psychological adjustment.
Q18. Why do we conduct post hoc analysis in ANOVA? a. To make a comparison on individual adjusted R-squares B. To make a comparison of the individual group meansC. To make a comparison of the individual group scatter plots D. None of the above
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 900 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Q Women who agree Women who disagree Gender of Interviewer Man 555 345 Woman 318 82 Identify the null and alternative hypotheses. Choose the correct answer below. A. Ho: The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. H₁: The proportions are different. B. Ho: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H₁: The proportions are the same. OC. Ho: The response of the subject and the gender of the subject are…
Twenty-eight college faculty at Acme Looniversity who volunteered for a fitness program were divided into low-fitness and high-fitness groups based on a physical examination. The subjects then took a Personality Factor Questionnaire. Below are the data for the "ego strength" measurement based on the questionnaire. Acme Looniversity Data Group Fitness Sample size Average Standard deviation 1 Low 14 4.6 0.69 2 High 14 6.4 0.43 Assuming the data for Group 1 and 2 are independent of each other and are both normally distributed, compute a 90% confidence interval for the difference between the two means. Round your answer to 3 decimal places. What conclusion can you draw? Group of answer choices (-2.173,-1.427), Group 1 is bigger (-1.923,-1.677), Group 2 is bigger (-2.173,-1.427), Group 2 is bigger (-1.923,-1.677), no conclusion (-1.923,-1.677), Group 1 is bigger
Which of the following is NOT a misuse of statistics?Choose the correct answer below.A.Utilizing valid statistical methods and correct sampling techniquesB.Concluding that a variable causes another variable because they have some correlationC.Misleading graphsD.Making conclusions about a population based on a voluntary response sample
An I/O psychologist wants to know if there is a difference in worker evaluations depending if the evaluator is a male or female. 15 men and 15 women managers were asked to rate on a scale of 0-10 the same group of worker files. The ratings on the worker evaluations were recorded for each manager. Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test independent samples t-test ANOVA
If you have a study design that requires two different samples, what sort of test might you consider? Matched samples test Independent samples test
pick the right answer matching description
What are the values for SS and variance for the following sample of n = 3 scores? Sample: 8, 5, 2
If sample data is such that for a one-tailed test of ? you can reject H0 at the 1% level of significance, can you always reject H0 for a two-tailed test at the same level of significance? Explain your answer? A. Yes. If H0 for a one-tailed test is rejected at the 1% level of significance, it will always be rejected for a two-tailed test at the same level of significance. B. No. If H0 for a one-tailed test is rejected at the 1% level of significance, it will never be rejected for a two-tailed test at the same level of significance. C. Yes. The P-value for the two-tailed test could be greater than 0.01. D. No. The P-value for the two-tailed test could be greater than 0.01.
Consider the following research questions/study scenarios. For each study, discuss the most appropriate methods for describing the data (graphically and numerically). What statistical method would be most appropriate for addressing the research questions? Be sure to provide a justification of the statistical method. What statistical test is needed, provide appropriate null and research hypotheses. An investigation of the association between drink preferences and the color of teeth is proposed. Subjects will be surveyed as to the type of drink most often consumed (coffee/tea. Juice, caramel-colored soda, water, or milk). A clinical exam will be performed after dental cleaning to determine the color of the teeth (reddish brown, reddish yellow, gray, reddish gray).

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