Before 1918, approximately 60% of the wolves in a region were male, and 40% were female. However, cattle ranchers in this area have made a determined effort to exterminate wolves. From 1918 to the present, approximately 70% of wolves in the region are male,and 30% are female. Biologists suspect that male wolves are more likely than females to return to an area where the population has been greatly reduced. (Round your answers to three decimal places.)AUSE SALT(a) Before 1918, in a random sample of 12 wolves spotted in the region, what is the probability that 9 or more were male?142xWhat is the probability that 9 or more were female?135xWhat is the probability that fewer than 6 were female?473x(b) For the period from 1918 to the present, in a random sample of 12 wolves spotted in the region, what is the probability that 9 or more were male?What is the probability that 9 or more were female?What is the probability that fewer than 6 were female?Attempt only if youcan solve both partsI'll upvote your answer

Solution Given That, Before 1918, approximately 60% of the wolves in a region were male, and 40%…

Answered: fore 1918, approximately 60% of the…

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...

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.A new, miracle diabetes drug that diminishes major symptoms of diabetes has been approved by the FDA. Health care professionals and researchers believe that the new drug will prolong lifespan of diabetes patients. If the population is in steady state and the incidence is constant, what will the effect of this new drug be on the prevalence of diabetes in the population? Explain.
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Life rating in Greece - Greece faced a severe economic crisis since the end of 2009. Suppose a Gallup poll surveyed 1010 randomly sampled Greeks in 2011 and found that 273 of them said they would rate their lives poorly enough to be considered "suffering." Round all answers to four decimal places. 1. What is the population parameter of interest? A. The 273 Greeks in the sample who believed they were suffering. B. The actual proportion of Greeks who said they were suffering in 2011. C. All the people who lived in Greece in 2011. D. The score on the survey that corresponds to suffering. 2. What is the value of the point estimate of this parameter? 3. Use the sample information from 2011 to construct a 95% confidence interval for the proportion of Greeks in 2011 who said they were "suffering."
We have data on the lean body mass and resting metabolic rate for 12 women who are subjects in a study of dieting. Lean body mass, given in kilograms, is a person's weight leaving out all fat. Metabolic rate, in calories burned per 24 hours, is the rate at which the body consumes energy. Mass 54.9 43.9 39.4 43.5 36.6 44.5 47.9 46.4 53.8 54.3 43.9 51.5 Rate 990 1030 1220 1300 1460 1600 1450 1120 1280 1070 1070 1190 Find the least-squares regression line for predicting metabolic rate from body mass. ANSWER:
In a certain year, it was estimated that 1,000,000 of the 307,000,000 residents of the United States are HIV-positive. (HIV is the virus that is believed to cause AIDS.) The Repeatedly Reactive Immunoassay (RRIA) diagnostic test correctly diagnoses the presence of AIDS/HIV 99.7% of the time and correctly diagnoses its absence 98.5% of the time. (Round your answers to four decimal places.) (a) Find the probability that a person whose test results are positive actually has HIV.(b) Find the probability that a person whose test results are negative does not have HIV.(c) Find the probability that a person whose test results are positive does not have HIV.(d) Find the probability that a person whose test results are negative actually has HIV.(e) Which of the probabilities would you be interested in if you or someone close to you tested positive? the probability that a person whose test results are positive actually has HIVthe probability that a person whose test results are negative does not…
The time data is therefore the (Chebyshev's Rule, Empirical Rule) says we should expect of the time data to be minutes.
Researchers at a university designed and tested a speed-training program for junior varsity and varsity high school football players. Each in a sample of 38 high school athletes was timed in a 40-yard sprint prior to the start of the training program and timed again after completing the program. The decreases in times (measured in seconds) are listed in the accompanying table. [Note: A negative decrease implies that the athlete's time after completion of the program was higher than his time prior to training.] The goal of the research is to demonstrate that the training program is effective in improving 40-yard sprint times Find a 90% confidence interval for the true mean decrease in sprint times for the population of all football players who participate in the speed-training program. (Round to three decimal places as needed.)
a. Please answer this also on MINITAB. In 4 decimal places. Do not return my question. Let someone help me.
Pesticide danger: One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which a pesticide is absorbed into skin after contact. An important question is whether the amount in the skin continues to increase with the length of the contact, or whether it increases for only a short time before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The amounts of the chemical (in micrograms) that were in the skin are given in the following table. Duration Amounts Absorbed 1 1.5 2.7 1.6 1.6 2 1.7 1.7 2.4 2.3 4 1.4 2.1 1.6 1.2 10 2.4 1.2 2.1 2.6 24 2.2 1.8 1.7 1.3 Send data to Excel Part: 0 / 2 Part 1 of 2 (a) Construct an ANOVA table. Round your answers to four decimal places. One-way ANOVA: Pesticide Amount Source DF SS MS F Duration Error Total
We have data on the lean body mass and resting metabolic rate for 12 women who are subjects in a study of dieting. Lean body mass, given in kilograms, is a person's weight leaving out all fat. Metabolic rate, in calories burned per 24 hours, is the rate at which the body consumes energy. Mass 40.5 37.9 54 50.8 48.9 51.9 52.3 36.7 37.3 44.7 37.6 46.7 Rate 1380 1560 980 1170 1230 1240 1480 1560 1440 1130 1570 1490 Find the least-squares regression line for predicting metabolic rate from body mass.ANSWER: y^=

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