the human brains delays in response to a sound has been found to be a 5.68 milliseconds. a random sample of 10 participants is selected, and each subject is asked to go without sleep for 24 hours before a test for brain stem auditory response latency. the average latency is found to be 5.85 milliseconds, with s=0.14.test the hypothesis that lack of sleep has no effect on average latency.
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the human brains delays in response to a sound has been found to be a 5.68 milliseconds. a random sample of 10 participants is selected, and each subject is asked to go without sleep for 24 hours before a test for brain stem auditory response latency. the average latency is found to be 5.85 milliseconds, with s=0.14.test the hypothesis that lack of sleep has no effect on average latency.
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- A researcher hypothesizes that electrical stimulation of the lateral habenula will result in a decrease in food intake (in this case, chocolate chips) in rats. Rats undergo stereotaxic surgery and an electrode is implanted in the right lateral habenula. Following a ten day recovery period, rats (kept at 80 percent body weight) are tested for the number of chocolate chips consumed during a 10 minute period of time both with and without electrical stimulation. The testing conditions are counter balanced. Compute the appropriate t-test for the data provided below. Stimulation No Stimulation 12 8 7 7 3 4 11 14 8 6 5 7 14 12 7 5 9 5 10 8 a) What would be the null hypothesis and alternative hypothesis in this study? b) What is your tcrit? c) Is there a significant difference between the two groups? d) Interpret your answer. e) Write out your t-value in APA format. *ANSWER ALL PARTS OF THE QUESTION*A researcher did a one-tailed one-sample t-test to test the hypothesis that babies prefer the color blue over the color red. He collected a sample of 26 babies and presented them with a red plastic star and a blue plastic start for 12 seconds. The researcher measured the amount of time each baby spent watching the blue star out of the 12 seconds. What is the critical t value, assuming the alpha level used was .05?Suppose an experiment finds that people taking a new herbal remedy get fewer colds than people taking a placebo. The results are statistically significant at the 0.01 level. Has the experiment proven that the herbal remedy works?
- A survey of 90 recently delivered women on the rolls of a county welfare department revealed that 27 had a history of intrapartum or postpartum infection. Can we conclude that the population proportion with a history of intrapartum or postpartum infection is significantly less than or equal to 0.25? Let alpha = 0.05.A random sample of 22 women participated in a study testing whether a new banana boat sunscreen reduced their incident rate of sunburn during the summer. The average woman in the study reported getting burned 5.7 times over the past 3 months, with a SS = 179. Compare this incident rate to a rate of 7 times per 3 months. Use an alpha of .05, 2 tailed test. a) What is the t-critical value(s)? b) What is the estimated standard error? c) Compute the t-statistic. d) Make a decision regarding the null and provide a conclusion (explain what it means in regards to this particular study).A magazine claims that the brand of shoe you buy can have a major impact on how fast you run. A researcher decides to test this assertion and gathers a group of seven (N=7) runners and asks each of them to run a mile wearing each of the four different types of shoes (Nike, Adidas, Asics, and Brooks) and records how quickly the runners complete their miles wearing each type of shoe. Conduct a within subjects (AKA repeated measures) ANOVA, at alpha = 0.05, to see if the runners mile times are significantly different depending on the type of shoe they wear. Identify the correct values for dfbetween and dfwithin. A. dfbetween = 3 dfwithin = 18 B. dfbetween = 18 dfwithin = 3 C. dfbetween = 5 dfwithin = 6 D. dfbetween = 7 dfwithin = 7
- A magazine claims that the brand of shoe you buy can have a major impact on how fast you run. A researcher decides to test this assertion and gathers a group of seven (N=7) runners and asks each of them to run a mile wearing each of the four different types of shoes (Nike, Adidas, Asics, and Brooks) and records how quickly the runners complete their miles wearing each type of shoe. Conduct a within subjects (AKA repeated measures) ANOVA, at alpha = 0.05, to see if the runners mile times are significantly different depending on the type of shoe they wear. Identify the correct symbolic notation for the alternative hypothesis. A. HA: µ1 ≠ µ2 ≠ µ3 B. H0: µ1 = µ2 = µ3 = µ4 C. HA: µ1 ≠ µ2 ≠ µ3 ≠ µ4 D. H0: µ1 = µ2A magazine claims that the brand of shoe you buy can have a major impact on how fast you run. A researcher decides to test this assertion and gathers a group of seven (N=7) runners and asks each of them to run a mile wearing each of the four different types of shoes (Nike, Adidas, Asics, and Brooks) and records how quickly the runners complete their miles wearing each type of shoe. Conduct a within subjects (AKA repeated measures) ANOVA, at alpha = 0.05, to see if the runners mile times are significantly different depending on the type of shoe they wear. Identify the correct alternative hypothesis A. At least two mean mile times are different from at least two other mean mile times between the four different types of shoes being tested B. There is a significant difference in mean mile time between the four different types of shoes being tested C. At least one mean mile time is different from at least two other mean mile times between the four different types of shoes being…Brink studied the effect of postural change on cardiovascular reactivity for a sample of healthy white and African American men and women. Change in systolic blood pressure (SBP) from supine to standing position was used as the measure of cardiac reactivity in a sample of 842 adults. Supine measurement of blood pressure was taken after participants had lain on an examination table for 15 minutes. Blood pressure was measured five times every 2 minutes using a preset automated blood pressure monitor, and the five measurements were averaged. Participants then stood up, and an additional five measurements were made over another 10-minute period and then averaged. Below is a table describing the characteristics of Brink’s sample. Characteristics of the Study Sample (N = 842) Sample Characteristic Frequency (N) Percentage or Mean (SD) Range Gender Female Male 408 434 48.5% 51.5% Age (years) 842 55.1 (5.3) 44–67 Race/ethnicity White, not Hispanic…
- A large research project showed that in a sample of 750 adults, 60 of them experienced a midlife crisis . Use this data to test the claim that the percentage of adults who experienced midlife crisis is less than 10%. Use (alpha)= 0.05 .A certain training device measures reaction times of users by illuminating lights, one at a time, and measuring the time it takes the user to press each light to turn it off. The makers of the device are marketing it for high-level training, saying that even among professional athletes, the proportion who can score the top ranking of "light speed" is less than 22% . As a fitness trainer who wants to buy the device to attract more customers, you want to feel comfortable that the claim made by the makers is correct. To test the claim, you decide to perform a hypothesis test. To do so, you rent the device and have a random sample of 130 professional athletes use it; 26 score a ranking of "light speed." You confirm that it is appropriate to perform a Z -test. Why is a Z -test appropriate? Find z , the value of the test statistic for your Z -test. Round your answer to three or more decimal places. =zA study was conducted to examine if children with autism spectrum disorder (ASD) had higher prenatal exposure to air pollution, specifically particulate matter < 2.5 g in diameter (PM2.5). Researchers obtained birth records of all children born in Los Angeles between 2000 and 2008 and linked these to the Department of Developmental Services records to determine if any of those subjects had been diagnosed with ASD or not. They used the birth addresses given in the birth records to determine the average daily PM2.5 for the third trimester for each child. The standard deviation for PM2.5 among ASD subjects was found to be 34.6 and for non-ASD subjects was 16.8. Assume PM2.5 is normally distributed. 4a. What was the study design? * Randomized Clinical Trial (RCT) * Case Report * Nested Case-Control Study * Case-Control Study * cross-sectional study Cohort Study 4B. What are the null and alternative hypotheses? 4c. What type of statistical test would you use to analyze the…