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Homework answers / question archive / 1) 1) Would this change the correlation test you would recommend? Why or why not? 2) What are the noise-level recommendations from the Environmental Protection Agency (EPA) and the World Health Organization (WHO)? 2) 1) If time spent in solitary confinement is measured in total hours, what level of measurement is this variable? 2) If depression is measured on a scale with values from 1 to 10, what level of measurement is the variable? 3) 1) What is your sample size? 2) What is the appropriate correlation coefficient, and why? 3) Are age and grade significantly correlated? 4) 1) If you were going to use this effect size to determine your sample size for another study, would you expect to need a large or a small sample? 2) If early treatment helps, is this a good screen? 5) 1) In this study, what percentage of variance in serum antibody levels is explained by the consumption of milk proteins in children with autism? 2) How much of the variance is explained by other variables? 3) Is this clinically important? 6) 1) You decide to utilize the measurement variables as recommended by the biostatistician and conduct a 2) Pearson’s correlation coefficient test

1) 1) Would this change the correlation test you would recommend? Why or why not? 2) What are the noise-level recommendations from the Environmental Protection Agency (EPA) and the World Health Organization (WHO)? 2) 1) If time spent in solitary confinement is measured in total hours, what level of measurement is this variable? 2) If depression is measured on a scale with values from 1 to 10, what level of measurement is the variable? 3) 1) What is your sample size? 2) What is the appropriate correlation coefficient, and why? 3) Are age and grade significantly correlated? 4) 1) If you were going to use this effect size to determine your sample size for another study, would you expect to need a large or a small sample? 2) If early treatment helps, is this a good screen? 5) 1) In this study, what percentage of variance in serum antibody levels is explained by the consumption of milk proteins in children with autism? 2) How much of the variance is explained by other variables? 3) Is this clinically important? 6) 1) You decide to utilize the measurement variables as recommended by the biostatistician and conduct a 2) Pearson’s correlation coefficient test

Statistics

1) 1) Would this change the correlation test you would recommend? Why or why not? 2) What are the noise-level recommendations from the Environmental Protection Agency (EPA) and the World Health Organization (WHO)?

2) 1) If time spent in solitary confinement is measured in total hours, what level of measurement is this variable? 2) If depression is measured on a scale with values from 1 to 10, what level of measurement is the variable?

3) 1) What is your sample size? 2) What is the appropriate correlation coefficient, and why? 3) Are age and grade significantly correlated?

4) 1) If you were going to use this effect size to determine your sample size for another study, would you expect to need a large or a small sample? 2) If early treatment helps, is this a good screen?

5) 1) In this study, what percentage of variance in serum antibody levels is explained by the consumption of milk proteins in children with autism? 2) How much of the variance is explained by other variables? 3) Is this clinically important?

6) 1) You decide to utilize the measurement variables as recommended by the biostatistician and conduct a 2) Pearson’s correlation coefficient test. You determine r = 0.6. What must your p-value be for this to be statistically significant?

7) 1) If cancer detection is measured as yes or no, what level of measurement is this variable? 2) The pilot study reports a chi-square of 2.46. Is there a significant difference between cancer detection rates with these two screening mechanisms?

8) Imagine you are the editor of the journal in which an article was submitted for review using a chi-square test to determine whether boys or girls are more likely to participate in sports. After reading it, you realize that the male and female subjects were recruited as brother and sister pairs. What would you conclude about the analysis?

9) 1) Is gender related to sports participation in this follow-up survey? If so, which gender is more likely to participate? How many degrees of freedom do you have? 2) What is the sensitivity of your screen? What does this mean in plain English?

10) 1) Write two alternative hypotheses that correspond to your null hypothesis.2) What should you conclude about your null hypothesis? 3) What type of error might you be making?

11) 1) If the whole school has 800 students and the ninth grade has 250 students, what percentage of the ninthgrade population did you sample? 2) Write an appropriate null hypothesis for this study.

12) 1) What level of measurement is sports participation? Is it qualitative or quantitative? 2) hat measure of central tendency can you determine for sports participation? What is the measure of central tendency for males only? Is the measure of central tendency different for the whole sample?

13) 1) Researchers report that there is no difference in appetite for those taking Byetta and those who are not. However, the sample size was small, and the results are incorrect. This is what type of error? 2) What level of measurement is gender? Is it continuous or categorical?

14) 1) A researcher reports a statistically significant association between taking anticoagulants and bruising. What do you know about the sample size? 2) The researchers are trying to detect a small effect size. What do you know about the necessary sample size?

15) 1) This large-scale trial will have measurements collected by 14 data collectors at three sites. Discuss an aspect of reliability that will be critical to assess and thus avoid compromising the validity of the study 2) The neuropathy survey has a 96% sensitivity. What does this mean?

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