High in the Rocky Mountains, a biology research team has drained a lake to get rid of all fish. After the lake was refilled, they stocked it with an endangered species of Greenback trout. Of the 2000 Greenback trout put into the lake 800 were tagged for later study. An electroshock method is used on individual fish to get a study sample. However, this method is hard on the fish. The research team wants to know the smallest number of fish that must be electroshocked to be at least 90% sure of getting a sample of two or more tagged trout. Please provide the answer. For more studies similar to this one, see A National Symposium on Catch and Release Fishing, Humboldt State University.

High in the Rocky Mountains, a biology research team has drained a lake to get rid of all fish. After the lake was refilled, they stocked it with an endangered species of Greenback trout. Of the 2000 Greenback trout put into the lake 800 were tagged for later study. An electroshock method is used on individual fish to get a study sample. However, this method is hard on the fish. The research team wants to know the smallest number of fish that must be electroshocked to be at least 90% sure of getting a sample of two or more tagged trout. Please provide the answer. For more studies similar to this one, see A National Symposium on Catch and Release Fishing, Humboldt State University.

Name: High in the Rocky Mountains, a biology research team has drained a lak
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
Description: High in the Rocky Mountains, a biology research team has drained a lake to get rid of all fish. After the lake was refilled, they stocked it with an endangered species of Greenback trout. Of the 2000 Greenback trout put into the lake 800 were tagged

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

*BOLD MEANS I NEED HELP ON THIS SECTION. PLEASE LOOK AT IMAGES. The Stanford University Heart Transplant Study (1974) was conducted to determine whether an experimental heart transplant program increased lifespan. Each patient entering the program was designated an official heart transplant candidate, meaning that he was gravely ill and would most likely benefit from a new heart. Some patients got a transplant and some did not. Of the 34 patients in the control group, 4 were alive at the end of the study. Of the 69 patients in the treatment group, 24 were alive. The contingency table below summarizes these results. Control Treatment Total Alive 4 24 28 Dead 30 45 75 Total 34 69 103 a) What proportion of patients in the treatment group were still alive at the end of the study? .348Correct (Round to three decimal places.)b) What proportion of patients in the control group were still alive at the end of the study? .118 (Round to three decimal places.)c) What are the claims…
In 1940, 2,000 women working in a factory were recruited into a study. Half of the women worked in manufacturing and half in administrative offices. The incidence of bone cancer through 1970 among the 1,000 women working in manufacturing was compared with that of 1,000 women working in administrative offices. Thirty of the women in manufacturing developed bone cancer as compared to 9 of the women in administrative offices. Identify what type of study this is.
Does cell phone use while driving impair driver reaction times? At the Univ. of Utah the times (in milliseconds) of 32 drivers using cell phones to depress the brake pedal were compared to the reaction times of 32 drivers who were listening to the radio. For the cell phone users the results were = 585.2, s = 89.6; for the radio listeners the results were = 533.7, s = 65.3. Determine a 95% confidence interval for μ-μ where μ is the mean reaction for drivers using cell phones. Use df = 57.
At the auction of the music collection, there is 1 masterpiece sheet music whose composer is unknown. A professor from the College of Music, Universität der Künste Berlin was asked to analyze who the score composer is. You are asked to help analyze statistically. The professor saw there were 2 names who may have been the composer, namely: Johann Strauss II and Tchaikovsky. The the professor also provides general data, namely the average number of tones per bar of each composer. Give the results of your analysis, who is the composer of the sheet music. Calculations are made using a spreadsheet! Note: Take the last 3 digits of your ID (2602296545 ). Use the step below: 1. For example, for example ID 2602296545 → 545 is taken. 2. Replace number 5 with number 1; example: ID 545 → 145 3. Last 3 digits of your new ID == abc; example 145: a = 1, bc = 45.
The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training. Biofeedback Group 2.1 2.8 4.5 2.3 2.9 4.3 3.4 4.2 3.4 3.7 3.0 3.7 3.7 2.5 3.3 No Biofeedback Group 5.2 4.8 4.0 4.3 4.8 4.4 4.3 5.2 3.5 4.3 5.2 4.5 4.1 3.5 4.0 Conduct a test of hypothesis to test whether…
For reasons of safety, a study of bears involved the collection of various measurements that were taken after the bears were anesthetized. When obtaining measurements from an anesthetized bear in the wild, it is relatively easy to use a tape measure to obtain the size of the chest, the length of the head, and the total length of the bear. It is difficult to find the weight because the bear must be lifted! Instead of actually weighing the bear, an estimate of the bears weight can be obtained from other measurements that were obtained. Use the data provided in cells E1 to H55 to answer the following questions. Head Length (HEADLEN) data is in cells E1 to E55. Length data is in cells F1 to F55. Chest size data is in cells G1 to G55. Weight data is in cells H1 to H55. All data sets have labels in first row. Develop the estimated regression equation that can be used to predict a bear's weight based on head length (HEADLEN), Length, and chest size. Place output in cell I1 Is the joint…
A team of researchers working on the development of vaccines conducted a study on two vaccines. Thirty individuals participated in the study and were randomly assigned to two groups and one group received vaccine 1 and the other group vaccine 2. The researchers then measured the amount of antibody in the individuals' blood after ingestion, entered R and calculated some fish sizes that can be seen here below. x̄1 = 494,54, s1 =52,39, x̄2 = 467,93, s2 = 45,20, d = 26,61, sd = 68,69. Blood levels of antibodies can be expected to follow normal distribution. Use α = 0,05. c) What conclusion do you draw from the hypothesis test in point b about the possible difference in the mean amount of antibody after oral administration of the vaccines? d) The researchers also created a 95% confidence interval for the difference between the averages. Will the confidence interval contain the value 0? Justify your answer without calculating the confidence interval.e) Let us now assume that there is in fact…
Many young men in North America and Europe (but not in Asia) tend to think they need more muscle to be attractive. One study presented 200 young American men with 100 images of men with various levels of muscle. Researchers measure level of muscle in kilograms per square meter (kg/m2) of fat-free body mass. Typical young men have about 20 kg/m2. Each subject chose two images, one that represented his own level of body muscle and one that he thought represented "what 21 women prefer." The mean gap between self-image and "what women prefer" was 2.35 kg/m2. 99 Suppose that the "muscle gap" in the population of all young men has a Normal distribution with standard deviation 2.5 kg/m2. Give a 90% confidence interval for the mean amount of muscle young men think they should add to be attractive to women. (Enter your answers rounded to four decimal places.) lower limit 17.4125 kg/m2 upper limit = 17.8875 kg/m² Question Source: Moore, The Basic Practice Of Statistics, 8e Publisher: W.H. Free
On average, a sample of n = 36 scores will provide a better estimate of the population mean than a sample of n = 49 scores from the same population.
whether cross-sectional, retrospective, or prospective is used. Rats with cancer are divided into two groups. One group receives 5 mg f mediation that is thought to fight cancer, and the other receives 10 mg. After 2 years, the spread of the cancer is measured.
The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training. Biofeedback Group 2.2 2.9 4.6 2.4 3.0 4.4 3.5 4.3 3.5 3.8 3.1 3.8 3.8 2.6 3.4 No Biofeedback Group 5.2 4.8 4.0 4.3 4.8 4.4 4.3 5.2 3.5 4.3 5.2 4.5 4.1 3.5 4.0 Conduct a test of hypothesis to test whether…
A pharmaceutical company wanted to study the effectiveness of a new hair growth product in women. It recruited 1100 random women from the L.A. area and measured the length of their hair. They gave 500 women the new product in unmarked bottles to use over a 6-month period. The other 600 women received unmarked bottles with mostly water and fragrance to use over a 6-month period. None of the women knew which product they received. They found that 450 out of 500 women that received the new product showed hair growth of 1-2 inches. Only 90 out of 600 women that used the water/fragrance combination showed hair growth of 1-2 inches. Women who received the treatment are Blank %/ blank % = Blank times to show hair growth.