A study on the effect of remediation to the performance of students inmathematics.Descriptive researchCorrelational researchExperimental ResearchWO Historical quantitative researchCausal research

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Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Need help completing table. 8. The Spearman correlation “The rapid growth of video game popularity has generated concern among practitioners, parents, scholars, and politicians,” wrote researchers Hope M. Cummings and Elizabeth A. Vandewater. In their study, Cummings and Vandewater measured the time adolescents spent playing video games as well as time spent doing other activities, such as interacting with family and friends, reading or doing homework, or playing sports. [Source: Cummings, H., & Vandewater, E. (2007). Relation of adolescent video game play to time spent in other activities. Archives of Pediatrics & Adolescent Medicine, 161(7), 684–689.] After reading about the study conducted by Cummings and Vandewater, you decide to conduct a similar study among a sample of 8 teenage girls. You ask the girls to keep a log of their activities for a day. You want to test whether the amount of time girls spend playing video games is correlated with the amount of time they…
Your Question: A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. The data is below: Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14. Using excel, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to…
Mathematics of Data Management, Analyzing One and Two Variable Data
Discussion. A study on the relationship between the level socio-emotional learning and mathematical resiliency of senior high school students was conducted by a researcher. The level of socio- emotional learning was determined in relation to self-awareness, social awareness, and self- management. The table showed the results of the statistical analysis. What did the study reveal about the relationship of the two variables? Indicator p-value self-awareness 0.048 social-awareness self-management 0.190 0.054 rvalue 0.492
rent funding: The following table presents the budget (in millions of dollars) for selected organizations that received U.S. government funding for arts and culture in both 2004 and 2006. Use a TI-84 calculator to answer the following. Organization 2004 2006 National Endowment for Arts 121 124 National Gallery of Art 88 95 Kennedy Center for the Performing Arts 17 18 Commission of Fine Arts Advisory Council on Historic Preservation What is the correlation coefficient r? What is the least-squares regression line? Round the final answers to four decimal places
Can you answer #8?
Carbon dioxide is produced by burning fossil fuels such as oil and natural gas, and has been connected to global warming. The following output presents the average amounts (in metric tons) of carbon dioxide emissions for the years 1999-2006 per person in the United States and per person in the rest of the world in an effort to determine if non-US per person emissions can help predict US per person emissions. US 20.2 20 19.8 SUMMARY OUTPUT 19.6 19.4 Regression Statistics Multiple R 0.51622776 19.2 R Square 0.2664911 19 Adjusted R Square Standard Error 0.2175905 18.8 0.29668345 Observations 17 18.6 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 39 ANOVA df MS F iignificance F Regression 1 0.479683973 0.479684 5.44965 0.0338864 Residual 15 1.320316027 0.088021 Total 16 1.8 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 22.8013544 1.416019771 16.10243 7.16-11 19.78318 25.819529 19.7831797 25.8195291 Non-US -0.95936795 0.410961292 -2.33445 0.033886…
Quantitative Methods I - Q1
Two variables are said to interact when _____. a. the effect of one independent variable depends on the levels of the second variable b. both variables are equally influenced by a third factor c. the two variables are differentially affected by a third variable d. both variables have a main effect on subjects' scores
[STATISTICS] How do you solve this?
Class Frequency 8-12 13-17 14 18-22 10 23-27 4 28-32 The 75th percentile of the data presented in the table above is O a. 19 O b. 22 O c. 18.5 O d. 20 О е. 21
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A study on the effect of remediation to the performance of students i mathematics. Descriptive research Correlational research Experimental Research Historical quantitative research Causal research 2