gaivud vis noft1. 1. The American Journal of Public Health (July 1995) published a study of the relationshipbetween passive smoking and nasal allergies in Japanese female students. The study revealedthat 80% of students from heavy-smoking families showed sign of nasal allergies on physicalexaminations. Consider a sample of 20 Japanese female students exposed daily to heavysmoking.What is the probability that fewer than 15 of the students will have nasal allergies?а.b. What is the probability that more than 10 of the students will have nasal allergies?What is the probability that exactly 10 of the students will have a nasal allergy?с.val-ni-19drom riorti slite2. Periodically, the Federal Trade Commission (FTC) monitors the pricing accuracy of electroniccheckout scanners at stores to ensure consumers are charged the correct price at checkout. Astudy of over 100,000 items found that the probability that an item is priced incorrectly by thescanner is .03. (Price Check II: A Follow-Up Report on the Accuracy of Checkout ScannerPrices, Dec 16, 1998). Suppose the FTC randomly selects five items at a retail store and checksthe accuracy of the scanner price of each. Let x represent the number of the five items that ispriced incorrectly.What is the probability that exactly one of the five items is priced incorrectly by theа.scanner?b. What is the probability that at least one of the five items is priced incorrectly by thescanner?c. What is the probability that fewer than three of the five is priced incorrectly by thescanner?

Name: gaivud vis noft1. 1. The American Journal of Public Health (July 1995
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: gaivud vis noft1. 1. The American Journal of Public Health (July 1995) published a study of the relationshipbetween passive smoking and nasal allergies in Japanese female students. The study revealedthat 80% of students from heavy-smoking families s

Math

Probability

1. 1. The American Journal of Public Health (July 1995) published a study of the relationship between passive smoking and nasal allergies in Japanese female students. The study revealed that 80% of students from heavy-smoking families showed sign of nasal allergies on physical examinations. Consider a sample of 20 Japanese female students exposed daily to heavy smoking. a. What is the probability that fewer than 15 of the students will have nasal allergies? b. What is the probability that more than 10 of the students will have nasal allergies? c. What is the probability that exactly 10 of the students will have a nasal allergy? wal-ni-19dromn riorti sliteib ed

1. 1. The American Journal of Public Health (July 1995) published a study of the relationship between passive smoking and nasal allergies in Japanese female students. The study revealed that 80% of students from heavy-smoking families showed sign of nasal allergies on physical examinations. Consider a sample of 20 Japanese female students exposed daily to heavy smoking. a. What is the probability that fewer than 15 of the students will have nasal allergies? b. What is the probability that more than 10 of the students will have nasal allergies? c. What is the probability that exactly 10 of the students will have a nasal allergy? wal-ni-19dromn riorti sliteib ed

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

A random sample of n1 = 148 people ages 16 to 19 were taken from the island of Oahu, Hawaii, and 14 were found to be high school dropouts. Another random sample of n2 = 125 people ages 16 to 19 were taken from Sweetwater County, Wyoming, and 5 were found to be high school dropouts. Do these data indicate that the population proportion of high school dropouts on Oahu is different (either way) from that of Sweetwater County? Use a 1% level of significance.
The Wisconsin Fish and Game Department stocked a lake with 30% catfish, 15 % bass, 40% bluegill, and 15% Northern Pike. Five years later they took a random sample of 500 fish from the lake and found 120 catfish, 85 bass, 220 bluegill, and 75 Northern Pike. At the 5% level of significance, can we show that the distribution of fish changed over the 5-year interval? State and test appropriate hypotheses. State conclusions.
A warehouse manager wants to know if there is an association between the shift worked and being on time for work. To investigate, he selects a random sample of 70 workers and classifies each one according to the shift they worked most recently and whether they were on time for work. He was unable to classify a substantial number of people as being on time, so he classified those individuals as unknown. The data are displayed in the table. The manager would like to know if these data provide convincing evidence of an association between the shift worked and being on time in the large population of all workers at this warehouse. The random and 10% conditions are met. Is the Large Counts condition met? Yes, the smallest expected count is 5, so all expected counts are at least 5. Yes, the smallest expected count is 8.54, so all expected counts are at least 5. No, the smallest expected count is 2.56, so the expected counts are not all at least 5. No, the smallest expected count is…
A random sample of n1 = 157 people ages 16 to 19 were taken from the island of Oahu, Hawaii, and 12 were found to be high school dropouts. Another random sample of n2 = 129 people ages 16 to 19 were taken from Sweetwater County, Wyoming, and 6 were found to be high school dropouts. Do these data indicate that the population proportion of high school dropouts on Oahu is different (either way) from that of Sweetwater County? Use a 1% level of significance. (a) What is the level of significance? What is the value of the sample test statistic? (Test the difference p1 − p2. Do not use rounded values. Round your final answer to two decimal places.) (c) Find (or estimate) the P-value. (Round your answer to four decimal places.)
The following table shows the ethnic origins of two random samples of students from a Canadian university, one from 2012 and the other from 2022: European 2012 2022 African Asian 308 58 52 364 100 58 Note: Canadian born students are classified according to their ancestry. (a) What would be an appropriate test to check if there has been an overall change in the distribution of ethnic origins among the student population of that university between 2012 and 2022? Justify your answer. ] Other 22 38 (b) Based on your answer in (a) above, test whether there has been an overall change in the distribution of ethnic origins among the student population of that university between 2012 and 2022. Use a 5% significance level and show your detailed manual calculations and all the steps of your hypothesis test (hypotheses, significance level, expected cell frequencies (rounded to 1 decimal), test statistic, decision criteria, critical value and p-value, conclusion with justification). (Manual…
Please help me determine what the probability was that it was a boy is
Here is the Statistics problem. Read this passage. What is the explanatory variable in this passage?
A manufacturer of laptop computers claims that only 1% of their computers are defective. In a sample of 600 computers, it was found that 3% were defective. If the proportion of defectives were really only 1%, there would be than 1 chance in 1000 of getting such a large proportion of defective laptops in the sample. Is there statistically significant evidence against the manufacturer's claim? Why or Why not?
Suppose an investigator has studied the possible association between the use of a weight-loss drug and a rare central nervous system (CNS) disorder. He samples from a group of volunteers with and without the disorder, and records whether they have used the weight-loss drug. The data are summarized in the attached table: What is the estimated the odds ratio for the presence of a CNS disorder, comparing people who have used the weight-loss drug to those who have not? What test would you use to evaluate the null hypothesis of no association between weight-loss drug use and presence of a CNS disorder?
Dr. Sloane is doing a study to test the association between alcohol consumption and the occurrence of cancer of the liver. He chooses a hospital-based sample and collects all newly diagnosed cases of histologically confirmed liver cancer diagnosed at that hospital. For his control group, he reviews the charts of all patients coming through all the clinics at this hospital who are not diagnosed with liver cancer. He makes sure that the cases and controls are similar by age and sex. A. Looking at the odds ratios and the p-values together, describe your observations. B. Looking at the p-values, what do they tell you about the strength of the association between drinking different amounts of alcohol per day and the risk of having liver cancer?
A study was conducted in Thailand to study the association between Vitamin A deficiency and death among children with measles. A summary of their data is provided below. Which of the following statements is true? Died Did not die Have Vitamin deficiency 20 20 Do not have vitamin deficiency 25 100 Those without vitamin D deficiency are more likely to die than those with Vitamin D deficiency There is no association between Vitamin D deficiency and death Those with Vitamin D deficiency are more likely to die than those without Vitamin D deficiency None of these answers are co
Mood variation is related to photoperiod in some people, and the likelihood of depression increases in the winter months. As a result, people often assume that suicide rates increase in winter. A study in Finland (Valtonen et al. 2006) divided the year 1997 into equal halves and compared the number of suicides in “winter” (24 September to 19 March) and “summer” (remainder of year). Out of a total of 1636 suicides, 766 were in winter and 870 were in the summer. Based on these data, estimate the proportion of suicides that occurred in winter, assuming that the suicides were independent. Are the data compatible with a greater suicide rate in winter than summer, based on a 95% confidence interval?