### Did the Treatment Have an Effect?The investigators anticipated that the control group would adjust their breeding date the following year, while the well-fed supplemented group was not expected to change. The report noted: "But in the following year, food-supplemented females were more out of synchrony with the caterpillar peak than the controls." The data below shows the number of days behind the caterpillar peak:| Group | Days Behind Caterpillar Peak ||---------------|------------------------------|| Control | 4.6, 2.3, 7.7, 6.0, 4.6, -1.2 || Supplemented | 15.5, 11.3, 5.4, 16.5, 11.3, 11.4, 7.7 |**Instructions:** Carry out a t-test and demonstrate that it leads to the quoted conclusion.

Given data: Control, x1 Supplemented, x2 4.6 15.5 2.3 11.3 7.7 5.4 6.0 16.5 4.6 11.3…

Answered: 18.43 Did the treatment have an effect?…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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According to the Pew research center 65% of US adults believe that the government should play a larger role in addressing climate change. A random sample (SRS) of 80 US adults found that 56 US adults believe that the government should play a larger role in addressing climate change. Does this indicate that population proportion of US adults who believe that the government should play a larger role in addressing climate change is MORE THAN 65%? Given: a= 0.05 level 1. List your oH and aH: (symbols and words) 2. State and Check the conditions for the test: 3. Use the information in question: Identify the hypotheses being tested: Find your SE and test statistic by hand: 4. Use the information in question: State your conclusion given 05.0 level, in a complete sentence, in the context of the problem. 5. Use the information in question. Find the 95% confidence interval by hand using: Given z*=1.96
For the following data 4,4,6, 10 o = 2.4 Then C.V.= Select one: O a. 25% O b. 47% Ос. 22.4% d. 40%
TABLE 2.5 Student teachers are trained to develop lesson plans, on the assumption that the writ- ten plan will help them to perform successfully in the classroom. In a study to assess the relationship between written lesson plans and their implementation in the class- room, 25 lesson plans were scored on a scale of 0 to 34 according to a Lesson Plan Assessment Checklist. The 25 scores are shown in Table 2.5. Use Tchebysheff's The- orem and the Empirical Rule (if applicable) to describe the distribution of these assessment scores. Lesson Plan Assessment Scores 26.1 26.0 14.5 29.3 19.7 22.1 21.2 26.6 31.9 25.0 15.9 20.8 20.2 17.8 13.3 25.6 26.5 15.7 22.1 13.8 29.0 21.3 23.5 22.1 10.2
2.2 In the following descriptions of a study, confounding is present. Describe the explanatory and confounding variable in the study and how the confounding may invalidate the conclusions of the study. Furthermore, suggest how you would change the study to eliminate the effect of the confounding variable. A hospital introduces a new screening procedure to identify patients suffering from a stroke so that a new blood clot medication can be given to the patient during the crucial period of 12 hours after stroke begins. The procedure appears to be very successful because in the first year of its implementation there is a higher rate of total recovery by the patients in comparison to the rate in the previous year for patients admitted to the hospital. A high school mathematics teacher is convinced that a new software program will improve math scores for students taking the SAT. As a method of evaluating her theory, she offers the students an opportunity to use the software on the…
Researchers Holdgate et al. (2016) studied walking behavior of elephants in North American zoos to see if there is a difference in average distance traveled by African and Asian elephants. They put GPS loggers on 33 African elephants and 23 Asian elephants and measured the distance (in kilometers) the elephants walked per day. The data in the file below Elephants contains results that are consistent with what the researchers found: Species Distance: African 6.12 African 3.65 African 4.26 African 3.8 African 5.23 African 5.02 African 5.17 African 5.37 African 4.89 African 6.4 African 6.42 African 6.85 African 3.38 African 7.71 African 4.02 African 3.52 African 5.81 African 5.83 African 7.02 African 6.11 African 4.62 African 5.54 African 3.2 African 5.49 African 5.47 African 6.97 African 3.74 African 3.04 African 7.84 African 8.62 African 7.63 African 5.25 African 4.19 Asian 1.39 Asian 2.59 Asian 8.03 Asian 7.93 Asian 0.33 Asian 8.22 Asian 6.95 Asian 2.39 Asian 3.89 Asian 10.53 Asian…
Which of the following can increase effect size? Select one: O a. increase the distance between means and increase the sample size O b. decrease the variability and increase the distance between means O c. decrease the variability and increase the sample size
In a population-based cohort study, an entire community was interviewed regarding smoking habits and then followed for one year. Upon ascertainment of all lung cancer deaths, the investigator obtained the following data: Number of Individuals Lung Cancer Deaths Smokers 24,500 15 Nonsmokers 10,500 2 Calculate the risk difference per 100,000 per year. Round to the tenth decima
2. The following exercises are based on a study by Scholer et el. (1997). This was a nested case-control study obtained from a cohort of children age 0 through 4 years in Tennessee between January 1, 1991 and December 31, 1995. Case patients consist of all cohort members who suffered injury deaths. Control patients were frequency matched to case patients by birth year. The variables are; . Pnclate Byear injflag byear ii) 986 987 988 989 990 991 993 994 995 Crude M-H combined Illegit cc injflag illegit, by (byear) = year of birth { a. The results below were obtained using the Mantel-Haenszel estimate of birth- year adjusted odds ratio for injury death among children with unmarried mothers compared with those with married mothers. Note: the reference group is married mothers. OR 1.366071 1.171363 3.292431 2.18427 2.561502 2.484556 2.431203 2.900458 1.894737 Test of homogeneity (M-H) 1: if subject died of injuries 0: if such care was given, or if information is missing. 1: if born out of…
2. The following exercises are based on a study by Scholer et el. (1997). This was a nested case-control study obtained from a cohort of children age 0 through 4 years in Tennessee between January 1, 1991 and December 31, 1995. Case patients consist of all cohort members who suffered injury deaths. Control patients were frequency matched to case patients by birth year. The variables are; Pnclate Byear injflag byear 986 987 988 989 990 991 993 994 995 Crude M-H combined Illegit OR = 1.366071 1.171363 3.292431 2.18427 2.561502 2.484556 2.431203 2.900458 1.894737 2.256993 2.279816 Test of homogeneity (M-H) year of birth 1: a. The results below were obtained using the Mantel-Haenszel estimate of birth- year adjusted odds ratio for injury death among children with unmarried mothers compared with those with married mothers. Note: the reference group is married mothers. cc injflag illegit, by (byear) { if subject died of injuries 0: otherwise, 1: if no prenatal care was received in the first…
Q4
Which ONE of the following statements regarding 0.581 on the summary output is correct? Group of answer choices 0.581 is the correlation for TIP and PREDICTED-SALES AMOUNT. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and TIP. -0.581 (negative 0.581) is the correlation for TIP and PREDICTED-TIP. 0.581 is the correlation for TIP and PREDICTED-TIP. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and PREDICTED-TIP. 0.581 is the correlation for SALES AMOUNT and PREDICTED-SALES AMOUNT.
A study of the effects of smoking on sleep patterns is conducted. The measure observed is the time, in minutes, that it takes to fall asleep. These data are obtained: Smokers: 63.3 56.0 22.1 47.6 53.2 48.1 52.7 34.4 60.2 43.8 23.2 13.8 Nonsmokers: 28.6 25.1 26.4 34.9 29.8 28.4 38.5 30.2 30.6 31.8 41.6 21.1 36.0 37.9 13.9 (a) Use R and report the number of observations for each group. (b) Use R and report the sample mean for each group. (c) Use R and report the sample standard deviation for each group. (d) Comment on what kind of impact smoking appears to have on the time required to fall asleep.

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