4. "The Friendly Green Giant GmbH" produces bags of cypress mulch. The weight in kilos perbag varies, as indicated in the following table.Weight in kg19.9 20.4 20.8 21.3 21.7 22.2 22.7Proportion of bags 0.04 0.13 0.21 0.29 0.20 0.10 0.03Table 3: Mulch bags' weight(a) What is the probability that a randomly chosen bag will contain between 20.4 and 21.7kilos (inclusive)?(a) 83%(b) Two packages are chosen at random independently. What is the probability that at leastone of them contains at least 21.3 kg?(b) 0.8556

(a)In order to find the probability that a randomly chosen bag will contain between 20.4 and 21.7…

Answered: 4. "The Friendly Green Giant GmbH"…

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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explains the process :)
Topic 4 Practice Test 1. What characteristics must a normal probability distribution have to be a standard normal probability distribution? 2. Find the shaded area under each standard normal curve shown below: a. a. b. b. 3. Find the z-score corresponding to the shaded area under each standard normal curve shown below: Area = 0.2546 z = -0.9 Area = 0.9798 z = 0.75 z = 1.6
The final exam grade distribution for all students in the introductory statistics class at a local community college is displayed in the table, with A = 4, B = 3, C = 2, D = 1, and F = 0. Let X represent the grade for a randomly selected student from the class.What is the standard deviation of the distribution?A) 1.16B) 1.08C) 1.41D) 2.98
1. Tim Hortons wanted to estimate the difference in the mean amounts of caffeine in two brands of coffee. They took a sample of 18-lbs jars of Brand I and another sample of 13-lbs jars of Brand II coffee. The following summary data (sample statistics) are collected? nį = 10 x, = 23 S1 = 3 Brand I Brand II n2 = 12 x2 = 25 S2 = 4 Assume that the two populations are normally distributed. A. Test at 5 % level of significance, whether there is a difference in the mean amounts of caffeine between the 2 brands of coffee. B. Construct a 95% Confidence Interval to estimate the difference in the mean amounts of caffeine in 2 brands of coffee. C. Does the result in part b) confirm your findings from part a)?
Below is a table showing the weights of packages arriving at a post office during a day. Weight (kg) frequency 130 15 200 25 250 35 200 45 150 55 120 Find the sample variance. a. 493.06 O b. 351.68 O c. 288.88 O d. 293.06 O e. 28.8 LO LO
Mean St. Dev. Distribution Males 23.5 in. 1.1 in. Normal Females 22.7 in. 1.0 in. Normal Use the data in the table for sitting adult males and females. These data are used often in the design of different seats, including aircraft seats, train seats, theater seats, and classroom seats. Find the probability that a female has a back-to-knee length between 22.0 in and 24.0 in Warning! This question is not multiple choice! You are to fill in the blank with the correct answer. Write your answer in the form 0.1234
The number of needed repairs while under warranty for a Sure Cut lawnmower has a population distribution as shown in the probability histogram below. The population mean is also given. Population 0.6 - 0.5- 0.4- population mean: u=1.15 0.3- 0.2- Number of repairs Probability
Beef Consumption. According to Food Consumption, Prices, and Expenditures, published by the U.S. Department of Agriculture, the mean consumption of beef per person in 2011 was 57.5 lb. A sample of 40 people taken this year yielded the data, in pounds, on last year’s beef consumption given on the WeissStats site. Use the technology of your choice to do the following. a. Obtain a normal probability plot, a boxplot, a histogram, and a stem-and-leaf diagram of the data on beef consumptions. b. Decide, at the 5% significance level, whether last year’s mean beef consumption is less than the 2011 mean of 57.5 lb. Apply the onemean t-test. c. The sample data contain four potential outliers: 0, 0, 0, and 13. Remove those four observations, repeat the hypothesis test in part (b), and compare your result with that obtained in part (b). d. Assuming that the four potential outliers are not recording errors, comment on the advisability of removing them from the sample data before performing the…
Aa A AaBbCcC AaB AaBbCcDc AaBbCcDc AABBC I Normal TNo Spac.. Heading Heading 2 Title Paragraph Styles Ed 4. The monthly utility bills in a city are normally distributed with a mean of $100 and a standard deviation of $12. Find the probability that a randomly selected utility bill will be between $90 and $120. Distribution type: Probability:
1. What is a random variable? Give an example. Suppose you are shopping online for a new toy for your dog. As you look at the product reviews, you see the following distribution of ratings. Use this table for questions 2-5. Stars Frequency 6. 4 3 3 1 1 2. Sketch a data visualization of the distribution of stars. 3. What is the probability that a randomly chosen reviewer gave the dog toy 3 stars? What is the probability that a randomly chosen reviewer gave the dog toy 3 or fewer stars?
Suppose a sample of O-rings was obtained and the wall thickness (in inches) of each was recorded. Use a normal probability plot to assess whether the sample data could have come from a population that is normally distributed. 0.163 0.182 0.194 0.211 0.224 0.225 0.233 0.243 0.251 0.259 0.271 0.273 0.295 0.307 0.317 0.340 Click here to view the table of critical values for normal probability plots. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. Using the correlation coefficient of the normal probability plot, is it reasonable to conclude that the population is normally distributed? Select the correct choice below and fill in the answer boxes within your choice. (Round to three decimal places as needed.) A. No. The correlation between the expected z-scores and the observed data, normal population. does not exceed the critical value, Therefore, it is not reasonable to conclude that the data come from…
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