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Section 4.3 Using Studies Wisely Honors Statistics Aug 23-8:26 PM Daily Agenda 1. Check homework C4#10 2. Group Quiz on 4.2 4.3 concepts 5. Discuss homework C4#11 Aug 23-8:31 PM 1

pg 262-264: 76, 79, 81, 86 Apr 6-9:53 AM C B B D C D B B Nov 9-7:57 PM 2

C4#10 pg 264-265: Multiple Choice #87 to #94 Can changing diet reduce high blood pressure? Vegetarian diets and low-salt diets are both promising. Men with high blood pressure are assigned at random to four diets: (1) normal diet with unrestricted salt; (2) vegetarian with unrestricted salt; (3) normal with restricted salt; and (4) vegetarian with restricted salt. This experiment has > (a) one factor, the type of diet. > (b) two factors, high blood pressure and type of diet. > (c) two factors, normal/vegetarian diet and unrestricted/restricted salt. > (d) three factors, men, high blood pressure, and type of diet. > (e) four factors, the four diets being compared. C Factor 1 2 levels Vegetarian diet / normal diet Factor 2 2 levels restricted salt / unrestricted salt Nov 9-2:12 PM In the experiment of the previous exercise, the subjects were randomly assigned to the different treatments. What is the most important reason for this random assignment? > (a) Random assignment eliminates the effects of other variables such as stress and body weight. > (b) Random assignment is a good way to create groups of subjects that are roughly equivalent at the beginning of the experiment. > (c) Random assignment makes it possible to make a conclusion about all men. > (d) Random assignment reduces the amount of variation in blood pressure. > (e) Random assignment prevents the placebo effect from ruining the results of the study. B Random assignment reduces bias by creating groups of subjects that are roughly equivalent at the beginning of the experiment. Distribute all other possible "confounding" variables between the treatment groups. Nov 9-2:43 PM 3

To investigate whether standing up while studying affects performance in an algebra class, a teacher assigns half of the 30 students in his class to stand up while studying and assigns the other half to not stand up while studying. To determine who receives which treatment, the teacher identifies the two students who did best on the last exam and randomly assigns one to stand and one to not stand. The teacher does the same for the next two highest-scoring students and continues in this manner until each student is assigned a treatment. Which of the following best describes this plan? (a) This is an observational study. (b) This is an experiment with blocking. (c) This is a completely randomized experiment. (d) This is a stratified random sample. (e) This is a cluster sample. B There is random assignment but the teacher is first creating BLOCKS of students by separating them by exam scores. Nov 9-2:46 PM A gardener wants to try different combinations of fertilizer (none, 1 cup, 2 cups) and mulch (none, wood chips, pine needles, plastic) to determine which combination produces the highest yield for a variety of green beans. He has 60 green-bean plants to use in the experiment. If he wants an equal number of plants to be assigned to each treatment, how many plants will be assigned to each treatment? (a) 1 (b) 3 (c) 4 (d) 5 (e) 12 D 60/12 = 5 plants per treatment Mulch Type Fertilizer amount None wood chips pine needles plastic none 1 2 3 4 1 cup 5 6 7 8 2 cups 9 10 11 12 Nov 9-2:49 PM 4

Corn variety 1 yielded 140 bushels per acre last year at a research farm. This year, corn variety 2, planted in the same location, yielded only 110 bushels per acre. Based on these results, is it reasonable to conclude that corn variety 1 is more productive than corn variety 2? (a) Yes, because 140 bushels per acre is greater than 110 bushels per acre. (b) Yes, because the study was done at a research farm. (c) No, because there may be other differences between the two years besides the corn variety. (d) No, because there was no use of a placebo in the experiment. (e) No, because the experiment wasn t double-blind. C Too many confounding variable between years... name some... Nov 9-2:58 PM A report in a medical journal notes that the risk of developing Alzheimer s disease among subjects who regularly opted to take the drug ibuprofen was about half the risk among those who did not. Is this good evidence that ibuprofen is effective in preventing Alzheimer s disease? > (a) Yes, because the study was a randomized, comparative experiment. > (b) No, because the effect of ibuprofen is confounded with the placebo effect. > (c) Yes, because the results were published in a reputable professional journal. > (d) No, because this is an observational study. An experiment would be needed to confirm (or not confirm) the observed effect. > (e) Yes, because a 50% reduction can t happen just by chance. D There was no assigned treatment Nov 9-3:00 PM 5

A farmer is conducting an experiment to determine which variety of apple tree, Fuji or Gala, will produce more fruit in his orchard. The orchard is divided into 20 equally sized square plots. He has 10 trees of each variety and randomly assigns each tree to a separate plot in the orchard. What are the experimental unit(s) in this study? > (a) The trees > (b) The plots > (c) The apples > (d) The farmer > (e) The orchard B The farmer is experimenting with his farmland plots not "doing things to the trees". Nov 9-3:00 PM Two essential features of all statistically designed experiments are > (a) compare several treatments; use the double-blind method. > (b) compare several treatments; use chance to assign subjects to treatments. > (c) always have a placebo group; use the double-blind method. > (d) use a block design; use chance to assign subjects to treatments. > (e) use enough subjects; always have a control group. COMPARE, RANDOMIZE, CONTROL, REPLICATE B Compare and randomization and E? Nov 9-3:05 PM 6

Comparing cancer treatments The progress of a type of cancer differs in women and men. Researchers want to design an experiment to compare three therapies for this cancer. They recruit 500 male and 300 female patients who are willing to serve as subjects. Which are the blocks in this experiment: the cancer therapies or the two sexes? Why? The blocks will be male and female. They are the variable that causes a person to be male or female. What are the advantages of a randomized block design over a completely randomized design using these 800 subjects? The advantage is that the results should have less variability between the men's and women's treatment groups. This will allow results to show significance if the is a true difference between how women and men react to the three therapies. If only a completely randomized design is used, gender difference will cause mo variation in the results and confound the experiment hiding a possible working treatment for men and/or women. Suppose the researchers had 800 male and no female subjects available for the study. What advantage would this offer? What disadvantage? If only male subjects were available a completely randomized design would be acceptable for the study. This would have the advantage of stronger replication for the treatment groups and less variability in the The disadvantage is that the study results and conclusions would only then apply to males. The results should not be applied to the female population Nov 4-8:01 PM A nutrition experimenter intends to compare the weight gain of newly weaned rats. She has available 10 rats from one litter and 10 rats from a second litter. Rats in the If the 10 rats from Litter 1 were fed Diet A, the effects of genetics and diet would be confounded, and the experiment would be biased. Explain this statement carefully. Because the rats from litter 1 are healthier (have better genetics) this fact alone may be the reason that they gain weight more easily than the other rats. The weight gain would have nothing to do with the treatment. We would make conclusions based on the wrong explanatory variable (health vs. treatment diet A). Describe a better design for this experiment. we should block on litter because we have NO control over the genetics of the litters. before experiment Randomize by labeling all rats from litter 1 with single digits 1 to 0 where 0 = 10. Use the random digit table to select 5 different single digits from 1 to 0. These rats will be fed diet A. The remaining 5 rats will be fed diet B. Repeat this process for litter 2 to randomly distribute the rats to the treatment groups. Nov 4-8:03 PM 7

Look, Ma, no hands! Does talking on a hands-free cell phone distract drivers? Researchers recruit 40 student subjects for an experiment to investigate this question. They have a driving simulator equipped with a hands-free phone for use in the study. Each subject will complete two sessions in the simulator: one while talking on the hands-free phone and the other while just driving. The order of the two sessions for each subject will be determined at random. The route, driving conditions, and traffic flow will be the same in both sessions. What type of design did the researchers use in their study? The researchers used a matched pairs design. Explain why the researchers chose this design instead of a completely randomized design. There are many confounding factors when trying to compare people and driving habits. By using each subject compared to themselves the researchers do not have to try and match people and then randomly assig them to treatment groups. Using matched pairs reduces variability and reduces confounding variables. Why is it important to randomly assign the order of the treatments? The first time through the experiment subjects will have a "learning curve" the next time the subjects repeat the experiment this "learning curve" will the treatments. Without this randomization we would have treatment order confounded iwht "learning from ones' mistakes" Explain how and why researchers controlled for other variables in this experiment. The other methods of control were... All subjects were students, all subjects completed the task on a driving simulator, all used the same hands free device. The route, driving conditions, and traffic flow were the same in both sessions. This reduces possible confounding variables and thus reduces variability in the experiment results. Nov 4-8:04 PM Close shave: Which of two brands (X or Y) of electric razor shaves closer? Researchers want to design and carry out an experiment to answer this question using 50 adult male volunteers. Here s one idea: Have all 50 subjects shave the left sides of their faces with the Brand X razor and shave the right sides of their faces with the Brand Y razor. Then have each man decide which razor gave the closer shave and compile the results. (a) Identify any flaws you see in the proposed design for this experiment. Confounding variable of Left and Right shaves will exist in this design. Perhaps men (who are mostly right handed) can more skillfully shave one side of their face. This would cause bias in the results. (b) Describe how you would design the experiment. Explain how your design addresses each of the problems you identified in part (a). Use a matched pairs design still but randomly determine which razor brand shaves which face side. See the flow chart below. Randomization: label the men 1 to 50. Using technology randomly generate 25 different numbers between 1 and 50. (Use RANDINT(1,50,1)). The men corresponding to these first 25 selected number receive treatment 1, the rest of the men receive treatment 2. Nov 4-8:04 PM 8

Nov 9-3:20 PM Nov 9-3:20 PM 9

Show cause and effect generalize results to the population Nov 9-3:21 PM Random sampling versus random assignment Explain the difference between the types of inference that can be made as a result of random sampling and random assignment. Random sampling - Generalize results to the population of interest. Random assignment - Show (prove) a cause and effect relationship Causation. Nov 9-3:27 PM 10

Observation versus experimentation Explain the difference between the types of inference than can usually be made from an observational study and an experiment. Observational Study Show that an association exists Experiment Study Show (prove) a cause and effect relationship Causation. Nov 9-3:28 PM Daytime running lights Canada and the European Union require that cars be equipped with daytime running lights, headlights that automatically come on at a low level when the car is started. Many manufacturers are now equipping cars sold in the United States with running lights. Will running lights reduce accidents by making cars more visible? An experiment conducted in a driving simulator suggests that the answer may be Yes. What concerns would you have about generalizing the results of such an experiment? A driving simulator may lack realism and may help the driver to pay closer attention. Like a contest... Perhaps the next slides will help... Once everyone has them it may not be so exceptional to see. Nov 9-3:41 PM 11

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Nov 9-3:21 PM 4.10 Design flowchart and random technique are needed... Apr 6-9:53 AM 14