Can you please answer this question and all of the sub problems and show all of the steps to the solution 1. The following data represents the medal tallies of the topfive countries at the 2004 Olympics.CountryGold Silver Bronze TotalsUnited States 353929103China32171463Russia27273892Australia17161649Japan161237Totals127 108109344If a medal is picked at random from this group, find theprobability that is was:a. A gold medalb. A silver medal won by a Russianc. A bronze medal or won by the United statesd. A silver medal or a bronze medale. A gold medal and a silver medalf. A silver medal given that it was won by Japang. A medal won by Australia given that it was bronze

Since, you have you have posted a question with multiple subparts we will solve first three subparts…

1. The following data represents the medal tallies of the top five countries at the 2004 Olympics. Country Gold Silver Bronze Totals United States 35 39 29 103 China 32 17 14 63 Russia 27 27 38 92 Australia 17 16 16 49 Japan 16 9. 12 37 Totals 127 108 109 344 If a medal is picked at random from this group, find the probability that is was: a. A gold medal b. A silver medal won by a Russian c. A bronze medal or won by the United states

1. The following data represents the medal tallies of the top five countries at the 2004 Olympics. Country Gold Silver Bronze Totals United States 35 39 29 103 China 32 17 14 63 Russia 27 27 38 92 Australia 17 16 16 49 Japan 16 9. 12 37 Totals 127 108 109 344 If a medal is picked at random from this group, find the probability that is was: a. A gold medal b. A silver medal won by a Russian c. A bronze medal or won by the United states

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

1. The shares of the U.S. automobile market held in 1990 by General Motors, Japanese manufacturers, Ford, Chrysler, and other manufacturers were, respectively, 37%, 20%, 22%, 12%, and 9%. Suppose that a new survey of 1,000 new-car buyers shows the following purchase frequencies:
The following table lists the number of pages in four different types of magazines. Home decorating News Health Computer 170 87 82 100 285 92 150 134 160 122 85 98 203 103 99 205 196 101 96 145 Using a significance level of 5%, test the hypothesis that the four magazine types have the same average length. (Let 1 = Home decorating, 2 = News, 3 = Health and 4 = Computer.) Part (a) State the null hypothesis. H0: At least two of the group means ?1, ?2, ?3, ?4 are not equal. H0: ?1 = ?2 = ?3 = ?4 Part (b) State the alternative hypothesis. Ha: At least two of the group means ?1, ?2, ?3, ?4 are not equal. Ha: ?1 = ?2 = ?3 = ?4 Part (c) Enter an exact number as an integer, fraction, or decimal.df(num) = Part (d) Enter an exact number as an integer, fraction, or decimal.df(denom) = Part (e) State the distribution to use for the test. F16, 3 F3, 16 F3, 19 F19, 16 F16, 19 Part (f) What is the test statistic? (Round your…
Consider the following information about travelers onvacation (based partly on a recent Travelocity poll):40% check work email, 30% use a cell phone to stayconnected to work, 25% bring a laptop with them, 23%both check work email and use a cell phone to stayconnected, and 51% neither check work email nor usea cell phone to stay connected nor bring a laptop. Inaddition, 88 out of every 100 who bring a laptop alsocheck work email, and 70 out of every 100 who use acell phone to stay connected also bring a laptop.a. What is the probability that a randomly selectedtraveler who checks work email also uses a cellphone to stay connected?b. What is the probability that someone who brings alaptop on vacation also uses a cell phone to stayconnected?c. If the randomly selected traveler checked work emailand brought a laptop, what is the probability that he/she uses a cell phone to stay connected?
The following table contains the results of a survey of daily rental rates of a mid-size car for three major rental car companies at three airport locations on three different days during the year. Is there sufficient evidence to conclude that there is a significant difference among the average daily rental rates for mid-size cars for the three rental car companies? Daily Rental Rates of Mid-Size Cars ($) New York Chicago Miami Hertz 83.9983.99 81.9981.99 73.9973.99 89.9989.99 91.9991.99 45.9945.99 77.9977.99 89.9989.99 72.9972.99 Avis 75.8675.86 77.9977.99 70.9970.99 45.1045.10 86.9986.99 60.9960.99 48.9848.98 97.9997.99 90.9990.99 National 80.0080.00 75.9975.99 57.0057.00 56.0056.00 71.0071.00 53.9953.99 56.0056.00 77.9977.99 67.9967.99 Copy Data ANOVA Source of Variation SSSS dfdf MSMS Company 709.6404709.6404 22 354.8202354.8202 Location 1631.71781631.7178 22 815.8589815.8589 Interaction 1157.83361157.8336 44 289.4584289.4584 Within…
A random sample of n1 = 10 regions in New England gave the following violent crime rates (per million population). x1: New England Crime Rate 3.5 3.9 4.0 4.1 3.3 4.1 1.8 4.8 2.9 3.1 Another random sample of n2 = 12 regions in the Rocky Mountain states gave the following violent crime rates (per million population). x2: Rocky Mountain Crime Rate 3.7 4.1 4.7 5.1 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8 (a) Assume that the crime rate distribution is approximately normal in both regions. Use a calculator to calculate x1, s1, x2, and s2. (Round your answers to two decimal places.) x1 = s1 = x2 = s2 = (b) What is the value of the sample test statistic? Compute the corresponding z or t value as appropriate. (Test the difference μ1 − μ2. Do not use rounded values. Round your answer to three decimal places.) (c) Find a 98% confidence interval for μ1 − μ2. (Round your answers to two decimal places.) lower limit upper limit
A random sample of n1 = 10 regions in New England gave the following violent crime rates (per million population). x1: New England Crime Rate 3.5 3.7 4.2 3.9 3.3 4.1 1.8 4.8 2.9 3.1 Another random sample of n2 = 12 regions in the Rocky Mountain states gave the following violent crime rates (per million population). x2: Rocky Mountain Crime Rate 3.9 4.1 4.5 5.1 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8 Assume that the crime rate distribution is approximately normal in both regions. (a) Use a calculator to calculate x1, s1, x2, and s2. (Round your answers to four decimal places.) x1=s1=x2=s2= (b) Do the data indicate that the violent crime rate in the Rocky Mountain region is higher than in New England? Use ? = 0.01. (i) What is the level of significance? State the null and alternate hypotheses. H0: ?1 = ?2; H1: ?1 ≠ ?2H0: ?1 = ?2; H1: ?1 > ?2 H0: ?1 < ?2; H1: ?1 = ?2H0: ?1 = ?2; H1: ?1 < ?2 (ii) What sampling distribution will you use? What…
A random sample of n1 = 10 regions in New England gave the following violent crime rates (per million population). x1: New England Crime Rate 3.5 3.9 4.2 4.1 3.3 4.1 1.8 4.8 2.9 3.1 Another random sample of n2 = 12 regions in the Rocky Mountain states gave the following violent crime rates (per million population). x2: Rocky Mountain Crime Rate 3.7 4.1 4.7 5.5 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8 Assume that the crime rate distribution is approximately normal in both regions. (a) Use a calculator to calculate x1, s1, x2, and s2. (Round your answers to four decimal places.) x1=s1=x2=s2= What is the value of the sample test statistic? (Test the difference μ1 − μ2. Round your answer to three decimal places.)
A random sample of n1 = 10 regions in New England gave the following violent crime rates (per million population). x1: New England Crime Rate 3.3 3.7 4.2 3.9 3.3 4.1 1.8 4.8 2.9 3.1 Another random sample of n2 = 12 regions in the Rocky Mountain states gave the following violent crime rates (per million population). x2: Rocky Mountain Crime Rate 3.9 4.1 4.5 5.5 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8 Assume that the crime rate distribution is approximately normal in both regions. Do the data indicate that the violent crime rate in the Rocky Mountain region is higher than in New England? Use ? = 0.01. Solve the problem using both the traditional method and the P-value method. (Test the difference ?1 − ?2. Round the test statistic and critical value to three decimal places.) test statistic critical value