Consider the following Venn Diagram, depicting the data from surveying random individuals passing by on the street at a neighborhood in Chicago about what second language (other than English) they could speak. SPEAKS CHINESE DATA SPEAKS RUSSIAN 30 18 8 29 SPEAKS SPANISH a) How many passersby could speak only Russian as a second language? 12 b) How many passersby could speak all three languages as the second language? c) How many passersby could speak both Chinese and Spanish as the second language, but not Russian? d) How many passersby could speak Chinese as the second language? e) How many passersby could speak either Chinese or Russian as the second language, or both Chinese and Russian, but no Spanish at all? f) How many passersby could speak Spanish as the second language?

Consider the following Venn Diagram, depicting the data from surveying random individuals passing by on the street at a neighborhood in Chicago about what second language (other than English) they could speak. SPEAKS CHINESE DATA SPEAKS RUSSIAN 30 18 8 29 SPEAKS SPANISH a) How many passersby could speak only Russian as a second language? 12 b) How many passersby could speak all three languages as the second language? c) How many passersby could speak both Chinese and Spanish as the second language, but not Russian? d) How many passersby could speak Chinese as the second language? e) How many passersby could speak either Chinese or Russian as the second language, or both Chinese and Russian, but no Spanish at all? f) How many passersby could speak Spanish as the second language?

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

The table below gives the two-way classification of 400 randomly selected persons based on their status as a smoker or a nonsmoker and on the number of visits they made to their physicians last year. Suppose you must test the hypothesis at 5% level of significance whether there is a relationship between smoking and visits to the physician. Status Visits to the Physician 0-1 2-4 >=5 Smoker 25 60 75 Nonsmoker 110 90 40 The conclusion will be: a) Since 2 56.428 is not greater than 2 s =0.103. we then reject the null hypothesis at 5% level of 0.95.2 significance and conclude that smoking and visits to the physician are related. O b) Since x-= 56.428 is greater than xos ,=0.103, we then fail to reject the null hypothesis at 5% level of significance and conclude that smoking and visits to the physician are related. O c) Since x= 56.428 is greater than xos =0.103 we then reject the null hypothesis at 5% level of significance %3D 95.2 and conclude that smoking and visits to the physician are…
Adela Noriegam, a researcher wants to determine how employee salaries at a certain company are related to the length of employment, previous experience, and education. The researcher selects eight employees from the company and obtains the following data: Employee Salary,y Employment (in yrs), x1 Employment (in yrs), x2 Employment (in yrs), x3 A 57310 10 2 16 B 57380 5 6 16 C 54135 4 1 12 D 56985 6 5 14 E 58715 8 8 16 F 60000 20 0 12 G 59400 9 4 18 H 60720 15 7 17 What is the regression equation? Leave your answer in 2 decimal places Y = ()+() +() +
A group conducted a study of the calorie content of different types of beer. The calorie content (calories per 100 ml) for 26 brands of light beer are summarized in the table below. 43 39 25 35 34 19 37 41 30 38 31 27 33 41 39 29 22 41 27 28 39 24 22 36 37 35 (a) Construct a stem-and-leaf display using stems 1, 2, 3, and 4. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) Calorie Content 1 2 3 4 Stem: Tens Leaf: Ones (b) Describe the calorie content of light beers. (Select all that apply.) There are no gaps in the data. A typical calorie content is 40 calories per 100 ml. There is a large gap in the data. A typical calorie content is 33 calories per 100 ml. The distribution is negatively skewed, with one peak. The distribution is roughly symmetric. The distribution is positively skewed, with one peak.
43) A plant manager is concerned with the variability of beer being filled in 12 oz. cans. The most appropriate control chart would be which of the following? A) x-bar chart B) R-chart C) p-chart D) c-chart E) None of the above 44) An airline company tracks the number of lost bags that occur each day. This is best monitored by which of the following control charts? A) x-bar chart B) R-chart C) p-chart D) c-chart E) None of the above 45) When receiving a shipment from a supplier, inspection must be done to check the fraction of defective products. This is best monitored by which of the following control charts? A) x-bar chart B) R-chart C) p-chart D) c-chart E) None of the above 46) A coffee dispenser is supposed to dispense coffee into an 8 o.z. cup. The average amount of coffee filled into the cup must be below 7.9. This is best monitored by which of the following control charts? A) x-bar chart B) R-chart C) p-chart D) c-chart E) None of the above 47) Which of the following control…
Given the data : 15 13,21,27 ,25,36,34,40,46,44,48,51,55,56,62,75 A) find the median, the lower quartile (QL), and the upper quartile (QU) B ) find the lower and the upper inner fences, the lower and the upper fences C ) Is the value 75 in the given data set an outliner? How?
The table shows data about student involvement in extracurricular activities at a local high school. Extracurricular Activities Involved in Not Involved in Activities Activities Totals Male 112 145 257 Female 139 120 259 Totals 251 265 516 P(femalel involved in activities)? 265 516 139 251 251 516 139 516
A samll town installed a Blue streetlights, in part, to help reduce crime in particular areas. The city collected the number of property crimes along nine randomly selected streets in the month before and after the Blue light installation, and claims that crime has been reduced.The number of crime data is shown in the table. No before Blue Light After Blue Light 1 17 14 2 25 20 3 10 14 4 14 12 5 16 8 6 34 35 7 32 27 8 21 18 9 14 12 a. Specify the competing hypotheses to test the s,all town's claim.b. Calculate the value of the relevant test statistic and find the critical value at the 5% significance level.c. Does the evidence support the small town's claim at the 5% significance level?
City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 a) What is the mean commute time for these 18 cities? b) What is the median commute time for these 18 cities? c) What is the mode for these 18 cities? d) What is the variance and standard deviation of commute times for these 18 cities? e) Find the z – score value of commute time for these 18 cities. f) Find 28th and 77th Percentile of commute times for these 18 cities.
7. Wondering if there is a connection between a person's height and the number of tattoos they have, Mac asks 50 people how tall they are and how many tattoos they have. What type of study was used? a. Experimental b. Observational
23. Education Level and Smoking At a large factory, the employees were surveyed and classified according to their level of education and whether they smoked. The data are shown in the table. Educational level Not high High school College graduate school Smoking habit graduate graduate 19 25 Smoke 6. 14 Do not smoke 18 7. If an employee is selected at random, find these prob- abilities. a. The employee smokes, given that he or she gradu- ated from college. b. Given that the employee did not graduate from high school, he or she is a smoker.
A small college has been accused of gender bias in its admissions to graduate programs. a. Out of 500 men who applied, 255 were accepted. Out of 700 women who applied, 240 were accepted. Find the acceptance rate for each gender. Does this suggest bias? b. The college then looked at each of the two departments with graduate programs and found the data below. Compute the acceptance rate within each department by gender. Does this suggest bias? Department Men Women Applied Admitted Applied Admitted Dept A 400 240 100 90 Dept B 100 15 600 150 c. Looking at our results from Parts a and b, what can you conclude? Is there gender bias in this college’s admissions? If so, in which direction?
A 10-item statistics quiz was given to 30 students. The table below gives the scores received along with the corresponding frequencies. What was the median score on the quiz? A) 7.5 B) 8.5 C) 9 D) 10