(a)A researcher measured the shoe size and math ability of a large group of children. He found that having a larger shoe size does not indicate that a child has more or less math ability. What does his analysis show?There is no correlation between shoe size and math ability.There is a correlation between shoe size and math ability. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between shoe size and math ability. There is probably also causation. This is because there is likely an increase in math ability with an increase in shoe size.(b)A grocery store collected sales data. It found that when customers buy less bread, they tend to purchase more rice. What can we conclude?There is no correlation between amount of bread bought and amount of rice purchased.There is a correlation between amount of bread bought and amount of rice purchased. However, there is no causation. This is because there is an increase in the amount of rice purchased with a decrease in the amount of bread bought.There is a correlation between amount of bread bought and amount of rice purchased. There may or may not be causation. Further studies would have to be done to determine this.(c)Jim compared the player statistics from his team's tennis season. He determined that being taller implies that a player has faster serves. What should he say based on his findings?There is no correlation between height and serve speed.There is a correlation between height and serve speed. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between height and serve speed. However, there is no causation. This is because there is an increase in serve speed with an increase in height.

A researcher explores the potential impact of teacher-student ratios on students' learning. After identifying 10 fifth-grade classrooms with 30-40 students and 10 with 15-25 students, a correlation between class size and student achievement is observed. Which one of the following conclusions can we draw from this study?Question 5

Question 2Why is effect size related to importance?1 pointEffect size provides a measure of the size of the difference that is not influenced by sample size.Effect size is another way to confirm the findings of hypothesis testing.Effect size includes sample size so it is reliable.Effect size indicates if the results of sampling are likely due to chance

Study the following information carefully and answer the question given below:(i) A, B, C, D, E, F, G and H are eight students, each having a different height.(ii) D is shorter than A but taller than G.(iii) E is taller than H but shorter than C.(iv) B is shorter than D but taller than F.(v) C is shorter than G.(vi) G is not as tall as F.Which of the following is definitely false?

Dr Logovik is investigating dyslexia and looks at the various factors in the lives of dyslexic children, finding the following correlations: +.25 correlation between degree of dyslexia and number of relatives with dyslexia; +.15 correlation between degree of dyslexia and parental alcoholism; -.35 correlation between degree of dyslexia and family income; 0 correlation between degree of dyslexia and number of siblings. Which of these exhibits the strongest correlation with dyslexia?Question 15Answera.Number of siblings.b.Family income.c.Relatives with dyslexia.d.Parental alcoholism.

A speculative statement that a researcher makes about the relationship between two or more variables is called ______.Multiple choice question.a correlationa conclusiona hypothesisa theory