### 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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Consider the following scenario and answer the questions below: The ornithologist decided to investigate the effect of temperature on the migration of North American birds. Develop a hypothesis in the appropriate format. Identify the independent variable. Identify the dependent variable. Plan an investigation (what would she do to collect data?). Did she engage in basic science or applied science? Explain. Did she engage in inductive or deductive reasoning? Explain
Suppose the observational units in a study are the patients arriving at an emergency room on a given day, 11 Nov 2019. For the following indicate whether it can legitimately be considered a variable or not: Whether or not men have to wait longer than women yes no
ch 11. 4 Oxnard Petro, Ltd., has three interdisciplinary project development teams that function on an ongoing basis. Team members rotate from time to time. Every 4 months (three times a year) each department head rates the performance of each project team (using a 0 to 100 scale, where 100 is the best rating). Are the main effects significant? Is there an interaction?
8.6 A large laboratory has four types of devices used to determine the pH of soil samples. The laboratory wants to determine whether there are differences in the average readings given by these devices. The lab uses 24 soil samples having known pH in the study and randomly assigns six of the samples to each device. The soil samples are tested, and the response recorded for each sample is the difference between the pH reading of the device and the known pH of the soil. These values, along with summary statistics, are given in the following table. Device A B с D 1 -.307 -.176 .137 -.042 2 -.294 .125 -.063 .690 3 Sample .079 -.013 .240 .201 4 .019 .082 -.050 .166 5 -.136 .091 .318 .219 6 -.324 .459 .154 .407 Based on your intuition, is there evidence to indicate any difference among the mean differences in pH readings for the four devices? Run an analysis of variance to confirm or reject your conclusion Use a = .05.
Based on the data of air pollution in Los Angeles in 2019, the Environmental Protection Agency (EPA) decided to publish a new stricter regulation effective in January 2020 to reduce hydrocarbon pollution. EPA wants to evaluate whether the new regulation makes significant differences in reducing pollution. EPA collects data of monthly hydrocarbon pollution level as follows: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2019 7.3 6.0 5.4 5.9 3.9 5.7 6.9 7.6 6.3 5.8 5.1 5.9 2020 5.3 6.1 5.6 5.7 3.7 4.7 6.1 7.2 6.4 5.7 4.9 5.8
A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…
2.1 The Australian Bureau of Statistics (ABS) has recently released a report on the relationship between international students’ ethnicity and enrolments in higher education. Identify the dependent variable(s) and the independent variable (s) in the above scenario.
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
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4. 0 There is some indication that as countries' levels of literacy increases, authoritarian tendencies decline among the population. The following data show literacy (measured in number of literate people per 10 people) and authoritarian scores on a standard authoritarinaism- measuring scale from 8 countries. The data are: Xiiteracy : 9.2, 7.5, 8.8, 6.5, 4.3, 5.9, 9.7, 8.5 XAuth: 2.1, 3.4, 2.5, 7.3, 8.9, 5.7, 1.3, 2.5 Is there a reliable relationship between the two variables? If yes, what would the predicted authoritarian score of a country where only quarter of the country is literate? What about for a country where the literacy rate is %100? Use alpha = .05.
8.6 A large laboratory has four types of devices used to determine the pH of soil samples. The laboratory wants to determine whether there are differences in the average readings given by these devices. The lab uses 24 soil samples having known pH in the study and randomly assigns six of the samples to each device. The soil samples are tested, and the response recorded for each sample is the difference between the pH reading of the device and the known pH of the soil. These values, along with summary statistics, are given in the following table. Sample Device 1 2 3 4 5 6 A -.307 -.294 .079 .019 -.136 -.324 B -.176 .125 -.013 .082 .091 .459 C .137 -.063 .240 -.050 .318 .154 D -.042 .690 .201 .166 .219 .407 a. Based on your intuition, is there evidence to indicate any difference among the mean differences in pH readings for the four devices? b. Run an analysis of variance to confirm or reject your conclusion in…

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