The following factors X, Y, or Z can each individually cause a certain disease without the other two factors but does when followed by exposure to factor XY. Exposure to factor XY alone is not followed by the disease, but the disease never occurs in the absence of exposure to factor XY. Factor X is: A. A sufficient cause, but not necessary. B. Neither necessary nor sufficient. C. A necessary cause but not sufficient. D. A necessary and sufficient cause.

The following factors X, Y, or Z can each individually cause a certain disease without the other two factors but does when followed by exposure to factor XY. Exposure to factor XY alone is not followed by the disease, but the disease never occurs in the absence of exposure to factor XY. Factor X is: A. A sufficient cause, but not necessary. B. Neither necessary nor sufficient. C. A necessary cause but not sufficient. D. A necessary and sufficient cause.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter2: Equations And Inequalities

Section2.1: Equations

Problem 70E

See similar textbooks

Similar questions

How many permutations of the letters W, X, Y, and Z are possible?
A certain affects virus 0.1% of the population.. A test used to detect the virus in a person is positive 89% of the time if the person has the virus (true positive) and 11% of the time if the person does not have the virus (false postive). Fill out the remainder of the following table and use it to answer the two questions below. Infected Not Infected Total Positive Test Negative Test Total 100 99,900 100,000 a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest tenth of a percent and do not include a percent sign. P(Infected | Positive Test)= b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest tenth of a percent and do not include a percent sign. P(Not Infected | Negative Test) = > Next Question Type here to search *- F11 F10 F12 FS F4 & 23 7 8 2 T Y OP F G H. J K C V Alt B 44R
4. A medical study was interested in comparing lung capacity (in liters) for a random sample of subjects. Information on the dataset follows: Column 1: Cap: Lung capacity (in liters) Column 2: Gen: The gender of the subject, with values of female, male. Consider this to be factor A. Column 3: Smoke: The smoking status of the subject with values no, yes. Consider this to be factor B. = You may assume that i 1 is female, i = 2 is male, j = 1 is no, and j = 2 is yes. A table of SSE values follow. AB (A+B) A B Empty/Null 959.03 SSE 682.43 708.34 895.26 778.70 The total number of subjects is: 165. (a) Explain what the difference Y11.-Y12. would represent. (b) Explain what the difference Y₁1.-Y21. would represent. (c) The p-value for the test of interactions is 0.01447. State your conclusion in terms of the problem, using the test which has the smallest probability of a Type I error. (d) Calculate R² {AB (A+B)}. Does this value seem rea- sonable based on your decision in (c)?
i need help
18
A supervisor of a manufacturing plant is interested in relating the average number of defects produced per day to two factors: the operator working the machine and the machine itself. The supervisor randomly assigns each operator to use each machine for three days and records the number of defects produced per day. Is there sufficient evidence to conclude that there is a significant difference among the average number of defects produced per day for the different operators? Number of Defects Produced per Day Operator A Operator B Machine A 99 55 00 33 66 44 99 44 Machine B 00 99 11 66 33 99 11 66 Machine C 33 33 99 55 11 66 77 99 ANOVA Source of Variation SSSS dfdf MSMS Machine 4.08334.0833 22 2.04172.0417 Operator 16.666716.6667 11 16.666716.6667 Interaction 70.583370.5833 22 35.291735.2917 Within 128.5000128.5000 1818 7.13897.1389 Total 219.8333219.8333 2323 Step 2 of 2 : Make the decision to reject or fail to…
A supervisor of a manufacturing plant is interested in relating the average number of defects produced per day to two factors: the operator working the machine and the machine itself. The supervisor randomly assigns each operator to use each machine for three days and records the number of defects produced per day. Is there sufficient evidence to conclude that there is a significant difference among the average number of defects produced per day for the different operators? Number of Defects Produced per Day Operator A Operator B Machine A 99 22 88 33 11 55 66 77 Machine B 00 99 11 55 11 55 22 55 Machine C 44 77 66 11 99 00 55 00 ANOVA Source of Variation SSSS dfdf MSMS Machine 11.083311.0833 22 5.54175.5417 Operator 0.37500.3750 11 0.37500.3750 Interaction 87.750087.7500 22 43.875043.8750 Within 114.7500114.7500 1818 6.37506.3750 Total 213.9583213.9583 2323 Step 1 of 2 : Find the value of the test statistic for…
We throw a symmetrical dice twice. Let X denote the number of throws in which an odd number of dice fell, and let Y denote the remainder of the product of the dice's rolls divided by 3.Check whether the variables X and Y are (a) independent (b) uncorrelated
3.32 Arachnophobia: 7% of teenagers (ages 13 to 17) suffer from arachnophobia and are extremely afraid of spiders. At a summer camp there are 12 teenagers sleeping in each tent. Assume that these 12 teenagers are independent of each other. (In parts a, b, c, DO NOT enter your answer after multiplying by 100. For example, if your answer is 0.4266, then enter it as 0.4266, NOT as 42.66.) A 2005 Gallup Poll found that (a) Calculate the probability that at least one of them suffers from arachnophobia. (please round to four decimal places) (b) Calculate the probability that exactly 2 of them suffer from arachnophobia? four decimal places) (please round to four decimal places) (c) Calculate the probability that at most 1 of them suffers from arachnophobia? (please round to