An important issue in conservation biology is how dispersal among populations influences thepersistence of species in a fragmented landscape. Molofsky and Ferdy (2005) measured this in theannual plant, Cardamine pensylvanica, a weed that produces explosively dispersed seeds. Fourtreatments were used to manipulate seed dispersal by changing the distance among experimentalplant populations. These treatments were adjacent (continuous treatment), separated by 23.2 cm(medium), separated by 49.5 cm (long), or separated by partitions that blocked all seed dispersalamong populations (isolated). Treatments were randomly assigned to plant populations. The datashown are the number of generations that the populations persisted in six replicates of eachtreatment. Test whether the persistence of species differ with distance among experimental plantpopulations at 5% significance level. Conduct a follow up analysis when necessary.TreatmentGenerations persistedIsolated98888Medium14161616 15Long139.1011119Continuous913131613 13

Answered: Image /qna-images/answer/1e731dae-5c1a-4559-8c50-c9793a2c6827.jpg

Answered: An important issue in conservation…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A study published by Babcock and Marks (2010) showed that the average full-time U.S. college student studied for μ = 14 hours per week (SD = 4.8 hours per week) in 2005. We want to know if this average has changed in the past 15 years. In other words, we are going to do a study in which we try to determine whether there has been an impact of the passage of time on the amount of time college students spend studying. We selected a sample of n = 64 of today’s college students and find that they spent an average of M = 12.5 hours per week studying. Does this sample indicate a significant change in the number of hours spent studying? Use a two-tailed test (this means non-directional hypothesis) with α = .05.
Maple syrup is a non-negligible nutritional source of manganese. It is made from the sap of two species of maple: the sugar maple and the black maple. To see if there is a significant difference between the manganese content of these two species of maple, we measured the manganese content (in mg per 100g syrup) for a sample of sugar maples and a sample of black maples. The data is summarized by the Minitab output below: Two-sample T for Sugar Maple Black Maple group N Mean St Dev SE Mean Sugar Maple 20 Black Maple 12 3.55 0.29 Find: (i) a point estimate for ₁-2, where ₁ and 2 are the average manganese contents of the sugar maple, respectively the black maple; (ii) the standard error of X₁ - X₂. A) (i) -0.07; (ii) 0.101 C) (i) -0.26; (ii) 0.097 E) (i) -0.07; (ii) 0.035 3.29 0.22 0.049 0.084 B) (i) -0.26; (ii) 0.188 D) (i) -0.26; (ii) 0.101
Snow avalanches can be a real problem for travelers in the western United States and Canada. A very common type of avalanche is called the slab avalanche. These have been studied extensively by David McClung, a professor of civil engineering at the University of British Columbia. Suppose slab avalanches studied in a region of Canada had an average thickness of u = 67 cm. The ski patrol at Vail, Colorado, is studying slab avalanches in its region. A random sample of avalanches in spring gave the following thicknesses (in cm). 59 51 76 38 65 54 49 62 68 55 64 67 63 74 65 79 (i) Use a calculator with sample mean and standard deviation keys to find x and s. (Round your answers to two decimal places.) X= cm S= cm (ii) Assume the slab thickness has an approximately normal distribution. Use a 1% level of significance to test the claim that the mean slab thickness in the Vail region is different from that in the region of Canada. (a) What is the level of significance? State the null and…
An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow. Analyzer Computerized Electronic Compact 50 41 Car Intermediate 56 44 Full-sized 62 47 Use a = 0.05 to test for any significant differences. State the null and alternative hypotheses. O Ho: Hcompact * HIntermediate * HFull-sized Ha: "Compact = HIntermediate = 4Full-sized O Ho: HComputerized * HElectronic Ha: HComputerized = HElectronic O Ho: HComputerized = HElectronic Ha: "Computerized * HElectronic O Ho: HComputerized = HElectronic = "Compact = HIntermediate = "Full-sized H.: Not all the population means are equal. O Ho: HCompact = HIntermediate = HFull-sized Hai H compact * HIntermediate * HFull-sized Find the value of…
The researcher found that the model’s effect size was very large where r = .325. Furthermore, r2 = .106. How much of the variance can be explained by the linear combination of predictor variables? Answer Choices A) 11% B) 32% C) 33% D) 95%
A longitudinal study was conducted to investigate if a 3 week "Green" program can change people's attitude's towards recycling. Participants were randomly allocated into two groups: (1) those who received the Green program and (2) those who did not receive the Green program. Each participant completed a survey (measured on a metric scale) which measured their attitudes towards recycling at the end of each week of the study. It was hypothesised that those in the Green program would have more positive attitudes towards recycling compared to those in the non Green group. It was also hypothesised that this difference would be largest at the end of week 3 of the study. Which of the following would be an appropriate statistical test to conduct, which addresses these hypotheses? Group of answer choices: Within subjects ANOVA Mixed ANOVA Single factor ANOVA Factorial ANOVA Multiple Regression
Martha’s Vineyard Marine Supply is a wholesaler for a large variety of boating and fishing equipment. The company’s controller, Mathew Knight, has recently completed a cost study of the firm’s material-handling department. Knight used work measurement to quantify the department’s activity. The control factor unit used in the work-measurement study was hundreds of pounds of equipment unloaded or loaded at the company’s loading dock. Knight compiled the following data. 1. Construct an Excel spreadsheet and use the Excel commands to perform a least-squares regression. Estimate the variable- and fixed-cost components in the company’s material-handling department costs. Note: Round the Variable-cost component to 2 decimal places and the Fixed-cost component to the nearest whole dollar amount. Fixed-cost component = Variable-cost component =
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
In a certain study, the effect on oat yield was compared for the Pallinup, Overberg and Magnifico varieties of oats and four different concentrations of manure (0, 0.2, 0.4 and 0.6 tonnes per acre). Identify the experimental units, response variable, factor(s), levels of each factor and treatments.
If you had four factors, were interested in main effects and two-way interactions and wanted to conduct a three-level Central Composite Design, the total experimental runs would be the coded axial value would be ? and

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS