You suspect that a street hustler's die is "loaded," such that its six outcomes are notequally likely. You roll this die 120 times and get the following results:Number146.ThrownObservedFrequency(Count)1515122830Is this a fair die? In other words, does the obtained pattern of frequencies deviatesignificantly from what you wouldexpect by chance (i.e., equal probability)The standardise sample errorObserved-Expectedfor throwing a 2 isEареcted[ Select ]The P-Value is[ Select ]Therefore I conclude[ Select ]20

For the given data, we need to test if the die is fair.

Answered: You suspect that a street hustler's die…

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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4 children. He makes a fast, wrong estimate of the probability of various mixes of boys and girls among QUESTION 3. Mr. Fastwrong is working for the census department and he is counting families that have the families. His assistant, Ms. Slowright, analyzes the issue and corrects his work. Fill her corrections of his wrong guesses into the table below. Number of boys among the 4 children 1 0 4 3 2 Number of girls among the 4 children 0 1 2 4 Use fractions (not percents) in your answers. Mr. Fastwrong's estimate of the fraction of families having this distribution of boys and girls 1/5 1/5 1/5 1/5 1/5 Ms. Slowright's estimate of the fraction of families having this distribution of boys and girls
Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Indicated Drug Use Is Not Indicated Subject Uses Drugs 37 12 Subject Is Not a Drug User 19 32 The probability of a false positive test result is nothing. (Round to three decimal places as needed.)
A gambler complained about the dice. They seemed to be loaded! The dice were taken off the table and tested one at a time. One die was rolled 300 times and the following frequencies were recorded. Outcome 1 2 3 4 5 6 Observed frequency O 63 45 60 33 49 50 Do these data indicate that the die is unbalanced? Use a 1% level of significance. Hint: If the die is balanced, all outcomes should have the same expected frequency. (a) What is the level of significance? (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.) What are the degrees of freedom?
Refer to the questions below and complete the table in the next slide: Identify the Event…. Determine the number of Sample Space (nS)… Identify the Sample Points … Determine the number of Sample Points … Find the probability P(Event) Please show your formulas were applicable… Rolling a Die and getting: An even number < 4 An odd number > 5 A prime number that is divisible by 2 A number that is a multiple of 6 At most a number 4 Rolling a pair of Dice and getting: 6. A Sum of a double that is equal to 6 7. An absolute Difference that is even and < 3 8. A product that is odd <= 5 9. A Quotient that is prime and a natural number 10. Both numbers are less than 3
This problem involves empirical probability. The table shows the breakdown of 86 thousand single parents on active duty in the U.S. military in a certain year. All numbers are in thousands and rounded to the nearest thousand. Use the data in the table to find the probability that a randomly selected single parent in the U.S. military is in the Army. Male Female Total Army 25 10 35 Navy 23 7 30 Marine Corps 6 1 7 Air Force 10 4 14 Total 64 22 86 The probability that a randomly selected single parent in the U.S. military is in the Army is (Type an integer or decimal rounded to the nearest hundredth as needed.)
Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 132 millimeters, and a variance of 64. If a random sample of 39 steel bolts is selected, what is the probability that the sample mean would be greater than 128.2 millimeters? Round your answer to four decimal places. Answer How to enter your answer (opens in new window) Keypad Keyboard Shortcuts Tables
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?
This problem involves empirical probability. The table shows the breakdown of 98 thousand single parents on active duty in the U.S. military in a certain year. All numbers are in thousands and rounded to the nearest thousand. Use the data in the table to find the probability that a randomly selected single parent in the U.S. military is a woman in the Air Force. Marine Air Force Corps 8 12 5 17 Male Female Total Army 25 10 35 Navy 28 8 36 2 10 Total 73 25 98 The probability that a randomly selected single parent in the U.S. military is a woman in the Air Force is (Type an integer or decimal rounded to the nearest hundredth as needed.)
An experiment was conducted in which two fair dice were thrown 100 times. The sum of the dice was then recorded. The following frequency histogram gives the results. Sum of Two Dice 25 20 5 0 - 2 3 5 6 7 8 9 10 11 12 Value of Dice (a) What was the most outcome of the experiment?Blank 1 (b) What was the least frequent? Blank 2 (c) How many times did we observe a 7? Blank 3 (d) Determine the percentage of time a 7 was observed. Blank 4 (e) Describe the shape of the distribution (skewed left, skewed right, bell-shaped) Blank 5 Blank 1 Add your answer Blank 2 Add your answer Blank 3 Add your answer Blank 4 Add your answer tes remaining Frequency
1. A company manufactures electric circuits, which are packaged in boxes of 10 circuits each. A quality inspector sampled 450 boxes and recorded the number of defective circuits found in each box. Here are the frequencies: Number of defective circuits 1 2 3 4 6. 7 8 9. 10 Frequency of occurrence | 84 105 70 48 36 29 24 19 16 13 Let X = The number of defective circuits in a box. Answer the following probability questions based on the frequency data above. Phrase each event in terms of the random variable X. (a) What is the probability that the next inspected box will have 3 defective circuits? (b) What is the probability that the next inspected box will have no defective circuits at all? (c) What is the probability that the next inspected box will have at most 2 defective circuits? (d) What is the probability that the next inspected box will have more than 5 defective circuits?
This problem involves empirical probability. The table shows the breakdown of 85 thousand single parents on active duty in the U.S. military in a certain year. All numbers are in thousands and rounded to the nearest thousand. Use the data in the table to find the probability that a randomly selected single parent in the U.S. military is a woman in the Air Force. Marine Air Corps Force 5 13 1 5 6 18 Male Female Total Army 23 9 32 Navy 22 7 29 Total 63 22 85 The probability that a randomly selected single parent in the U.S. military is a woman in the Air Force is (Type an integer or decimal rounded to the nearest hundredth as needed.)
I need help. How do I find the two missing expected values when two of the expected values are already given? Suppose you are reading a study conducted in the year 2000 about adolescent girls with anorexia nervosa in the United States. The authors report the following frequency data on regions where the 522 adolescent girls with anorexia nervosa in their random sample reside: Observed Frequencies Region West South Midwest Northeast 110 206 110 96 You wonder whether the differences in the frequencies are due to the disease being more prevalent in certain areas of the country, whether the study simply included more girls from certain regions, or whether the distribution matches the geographic distribution of the US population. You obtain the following data from the 2000 census: Percent Distribution of the US Population by Region Region West South Midwest Northeast 22.46% 35.62% 22.88% 19.04% [Source: Hobbs F., & Stoops, N. (2002).…

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