MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Which ones are True?
1. A well-designed placebo allows an experiment to be conducted blind.
2. In a blind experiment, the subjects do not know whether they are in the treatment group or control group.
3. Using a random chance procedure to assign subjects to treatment or control reduces bias
4. Placebos are used so that even the people who do not receive a treatment can benefit from the study.
5. Placebos are used to randomly assign participants to treatment or control.
6. Controlled experiments can be randomized or nonrandomized.
7. In an observational study, the investigators assign the subjects to treatment or control.
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- Please help with this asaparrow_forwardResearchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?arrow_forwardExample: Assume that adults were randomly selected for a poll. They were asked if they "favor or oppose using federal tax dollars to fund medical research using stem cells obtained from human embryos.” Of those polled, 480 were in favor and 394 were opposed. A politician claims that people don’t really understand the stem cell issue and their responses to such questions are random responses equivalent to a coin toss. Use a 0.01 significance level to test the claim that the proportion of subjects who respond in favor is equal to 0.5. What does the result suggest about the politician’s claim? Following the hypothesis test steps, let’s first identify the claim and the null and alternative hypotheses: For this example, the original claim is that the proportion of the subjects who responded in favor is equal to 0.5 (half – since the politician compared their responses as equivalent to a coin toss). The symbolic form of the politician’s claim can be expressed as p = 0.5. Also notice…arrow_forward
- Median household income in a particular county is $46,250. A researcher is interested to see whether students at the county community college have a median household income lower than the county overalI. She selects 15 students at random and determines that 12 have a household income below the county median, one has an income equal to the county median, and two have a household income above the county median. She wishes to conduct her test using the 0.05 significance level. What is the decision rule? Multiple Choice Reject Ho if the number above the median is <3 or 28. Reject Ho if the number above the median is <3. Reject Ho if the number above the median is <2 or 210. Reject Ho if the number above the median is <2.arrow_forwardWhen neither the subject nor those having contact with the subject know the treatment assignment, the study is called unbiased. double-blind. blind. statistically significant. randomized.arrow_forwarddetermine the degrees of freedom if necessaryarrow_forward
- A political scientist claims that 38% of first-year college students characterize themselves as being “moderate” or “middle of the road” as far as their political affiliation is concerned. Believing this claimed value is too high, you survey a random sample of 400 first-year college students and find that 120 characterize themselves as being “moderate” or “middle of the road.” Based on this information, what will the test statistic be? Choose the answer below that is closest to what you calculate, and try not to do a lot of rounding until you get to the very end of your calculations. 1. -0.3 2. -1.2 3. -2.6 4. -3.3 5. None of the other answer options are correct because the test statistic should be positive, not negative.arrow_forwardSuppose that in a random selection of 100 colored candies, 20% of them are blue. The candy company claims that the percentage of blue candies is equal to 29%. Use a 0.01 significance level to test that claim.arrow_forwardSuppose that in a random selection of 100 colored candies, 20% of them are blue. The candy company claims that the percentage of blue candies is equal to 22%. Use a 0.01 significance level to test that claim.arrow_forward
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