What advantages are there in doing experiments with more than two groups or conditions?
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A: we have to find reliability.
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A: From the above given data the following solution is provided below:
Q: I want general information about TWO WAY ANOVA , and when to use it ?
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Q: What are the advantages of conducting experiments with more than two groups or conditions?
A: To find: What are the advantages of conducting experiments with more than two groups or conditions?
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A: H0:P =0.70H1:P≠0.70
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A: Effect size address the minimal important difference. Higher the effect size cause higher…
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A: The differences are 0, -2, -1, -2 and -3.
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A: Independent measure design: Data is selected from different and independent participants groups.…
Q: Solid fats are more likely to raise blood cholesterol levels than liquid fats. Suppose a…
A: Given: n1 = 6 n2 = 6 Formula Used: Test-statistic t = X1-X2sp1n1+1n2 sp = (n1-1)s12+(n2-1)s22n1+n2-2
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A: Independent Samples t-test: This test is used to compare the statistical differences between two…
Q: f the type of snack and children's ubjects aged 10 to 13 years were ct same ingredients but…
A:
Q: Study 1: A study of 300 high school students was done. Half of them were instructed to drink soda…
A: Given: Study 1: A study of 300 high school students was done. Half of them were instructed to drink…
Q: one treatment condition of a between-subjects
A: Given that,
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A:
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Q: If the experiment were repeated using similar procedures would the results be similar
A: If the experiment is repeated using similar procedures, the results can be similar.
Q: Why it is important to consider power while designing an experiment?
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Q: How many different samples of size 3 can be obtained from a population of size 5?
A: from given data we have :n=5 r=3
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A: HERE GIVEN , pI^ = 0.014 , nI = 7pII^ = 0.019 , nII = 14significance level = 0.01
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A: It is an important part of statistics. It is widely used.
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A: For Group1, N = 9 mean = 50 SD = SS = 26.65 For Group2, N = 6 mean = 60SD = SS =21.45
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What advantages are there in doing experiments with more than two groups or conditions?
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- Solid fats are more likely to raise blood cholesterol levels than liquid fats. Suppose a nutritionist analyzed the percentage of saturated fat for a sample of 6 brands of stick margarine (solid fat) and for a sample of 6 brands of liquid margarine and obtained the following results: Stick:[25.5,26.7,26.5,26.6,26.3,26.4] Liquid:[16.5,17.1,17.5,17.3,17.2,16.7] We want to determine if there a significant difference in the average amount of saturated fat in solid and liquid fats. What is the test statistic? a) z = 39.604 b) t = 25.263 c) t = 39.604 d) z = 39.104 e) t = 39.104A study designed to compare two ethnic groups on a measure of a particular personality trait used a large number of participants to have high power. The study found a significant result, but the difference between the means was very small (that is, there was a small effect size). Talk about the fact that this test is statistically significant but may not be practically significant?A researcher has access to 100 participants for an independent sample design study, and she is hoping to achieve power = .80.What effect size will her data need to achieve to make that possible?
- A pharmaceutical company is testing the effectiveness of its vaccine across two different age brackets. They take a sample and split the participants up into two separate groups. Group A consists of 44 people who are between ages 13 and 18. Group B consists of 58 people between ages 19 and 26. After being administered the vaccine, it was found that 37 people from group A were immune to the virus and 42 people from group B were immune. (this is the same situation from the previous daily) Why do we use the 'pooled proportion' instead of the null hypothesis in the denominator of the test statistic? At a 10% significance level, is there reason to believe there is a difference in vaccine efficacy between Group A and Group B? explain each stepExplain the concept of Quasi-Experiments?7)
- Does the test result Provide sufficient evidence that light alcohol consumption has a negative impact on the driving performance of a sleep deprived driver. Why or why notA doctor is studying the relationship between blood pressure and heartbeat abnormalities in her patients. She tests a random sample of her patients and notes their blood pressures (high, low, or normal) and their heartbeats (regular or irregular). She finds that: 14% have high blood pressure. • 22% have low blood pressure. 15% have an irregular heartbeat. • Of those with an irregular heartbeat, one-third have high blood pressure. • Of those with normal blood pressure, one-eighth have an irregular heartbeat. What portion of the patients selected have a regular heartbeat and low blood pressure? (0.2)Question 2 Is the proportion of wildfires caused by humans in the south different from the proportion of wildfires caused by humans in the west? 380 of the 550 randomly selected wildfires looked at in the south were caused by humans while 404 of the 572 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer v (please enter a decimal) H: Select an answer v Select an answer V Select an answer |(Please enter a decimal) c. The test statistic (please show your answer to 3 decimal places.) d. The p-value = e. The p-value is ? a f. Based on this, we should Select an answer g. Thus, the final conclusion is that ... (Please show your answer to 4 decimal places.) the null hypothesis. O The results are statistically insignificant at a = 0.01, so there is insufficient…
- Here is the scenario for your Between Subjects Independent One Way ANOVA: Dr. Xena is interested in determine which type of therapy best helps persons with bipolar depression. She gathers a random and representative sample of men and women ages 18-95 years of age who have a diagnosis of Bipolar Depression who are taking Lithium for at least 6 months. She randomly assigns participants to conditions and measures well being scores after 4 months of therapy. Well being scores range from 0-100, with 100 being high well-being (feel good and experiencing no mood swings). Here is the data: Cognitive Therapy EMDR Therapy Psychoanalytical Therapy 15 72 28 78 91…An experiment to evaluate the effectiveness of the type of snack and children's perception of satiation was designed so that subjects aged 10 to 13 years were randomly assigned a snack that was of the exact same ingredients but described differently. The first group had their snack described as healthy and full of vitamins, the second group had their snack described as tasty, the third group were given a snack without any description whatsoever. Thirty minutes after finishing the snack, subjects were asked to rate their hunger on a scale of 1 to 10. The results are summarized in the table: ANOVA: Single Factor SUMMARY Groups Healthy Tasty No Description ANOVA Source of Variation Between Groups Within Groups Total Count 12 13. 14 SS 17.46154 62.89744 80.35897 Sum 62 46 56 Average 5.1667 3.5385 4.0000 Variance 1.9697 1.9359 1.3846 df MS F P-value 2 8.730769 4.997146 0.012156 36 1.747151 38 Based on these results, at a 5% level of significance what conclusion can the researchers draw from…Question 3 > Which of the following statements is false about the principles of a good experiment? O Studying many cases (e.g. including many patients in a study) is often more helpful than just including a few cases in the study. O Using a control group with a placebo is important since otherwise subjects in the control group may behave differently than these in the treatment group. O If we collect more information on each case (e.g. take repeated measurements on each individual) that might be helpful to obtaining more precise results in an experiment. OWe can always generalize the result of a study to the greater population so long as we randomize which patients go into which study groups. Randomizing individuals into groups is one way of preventing accidental bias from creeping into a study. Considering (controlling) more variables in planning an experiment helps ensure each study group is similar to the other study groups. > Next Question étv 18 & % %24 8. 9. 6 7 4.