The authors of a paper classified characters who were depicted smoking in movies released between a certain range of years. The smoking characters were classified according to sex and whether the character type was positive, negative, or neutral. The resulting data aresummarized in the accompanying table.Assume that it is reasonable to consider this sample of smoking movie characters as representative of smoking movie characters. Do the data provide evidence of an association between sex and character type for movie characters who smoke? Use a = 0.05.SexMaleFemalePositive Negative25685Character TypeUSE SALT10711Neutral13150Calculate the test statistic. (Round your answer to two decimal places.)x² =Use technology to calculate the P-value. (Round your answer to four decimal places.)P-value =

Answered: Image /qna-images/answer/80be4d8b-6279-4b0f-9011-059ec61b35ad.jpg

Answered: The authors of a paper classified…

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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Which of the following values is most likely to represent the correlation coefficient for the data shown in this scatterplot? a. r = .91 b. r = -.47 c. r = -.91 d. r = .47
please answer blank questions only and or ones with a red x next to them.
Estimate the most likely degree of correlation for the scatterplot Options: a. -.99 b. 0 c. .70 d. .30
Suppose a researcher is interested in examining the relationship between a person 's age and whether he or she likes the taste of cilantro. She collects a sample of n- 10 people and asks them whether they like the taste of cilantro. The following table summarizes the results. Does not like Cilantro Does like Cilantro 18 years old 2 18+ years old 3 The researcher wants to calculate the correlation between a person 's age and whether he or she likes the taste of cilantro. To do so, you (the researcher) must first create a table of the data by converting each variable to a numerical value. Assign a 0 to "< 18 years old" and 1 to "18+ years old." Then assign O to "does not like the taste of cilantro" and a 1 to " likes the taste of cilantro." Complete the top two rows of the your (the researcher's) data. Age (0 is <18; 1 is 18+) Likes the taste of Cilantro (0 is no; 1 is yes) a) ob) 1 a) Ob) 1 a) ob) 1 a) Ob) 1 1 1 1 1 1 1 1 The phi-coefficient is a) -0.09 b) -0.16 c) -0.20 d) 0.80
In a study examining the relation of math ability to the belief that math ability was innate, the belief was considered the predictor variable. The researcher hopes to find a correlation between the participants’ math ability and their belief that math ability is innate. The scores for the three participants are shown below. The group that believed that math is NOT innate scored 66, 70, 50. The group that believed that math IS innate scored 7, 4,10. what are the mean and SD for each group?
What type of relationship exists between the two variables x and y in the scatter plot? A.Positive correlation B.No correlation C.Negative correlation D.None of the choices
Mr. Friend noticed that meetings tended to start late when there were a lot of people in attendance and decided to study that relationship. He collecting data on the number of people who were attending each meeting and the number of minutes late that the meeting started. He noticed there was one point that seemed unusual, so he removed it from the data set. What is true about the point that was removed? a. the point is not unusualb. It is an influential observationc. It has the largest residuald. The slope changes little when the point is removedSelected:e. The correlation is lower with the removal of the point
Use the following data to answer the questions posed below. This is data taken from a simple random sample of students a class from a large population. The variables are defined as follows: Student: Student ID. Credits: # of credits earned GPA: Current College GPA Student’s Gender: Male/Female Program: Program of study Final Exam: Students’ scores on final exam SATM: Students’ SAT math scores The data are as follows student credits gpa gender program Final Exam SATM 1 42 3.00 female Business 42.5 410 2 42 3.49 male Business 77.5 440 3 45 3.72 female Business 75.0 390 4 45 3.39 male Business 70.0 550 5 100 3.39 male Arts & Sciences 92.5 560 6 43 3.36 male Arts & Sciences 72.5 600 7 69 2.83 female Business 75.0 460 8 28 2.86 male Arts & Sciences 77.5 520 9 25 3.68 male Arts & Sciences 82.5 600 10 42 1.68 female Business 52.5 540 11 45 2.89 female Business 65.0 440 12 42 3.15 male Business 45.0 550 13 69 3.18…
please answer blank questions only and or ones with a red x next to them.
Based on the data below, answer the following question: Draw a scatter diagram that highlights the relationship between Local Tuition and Students per Faculty. The correlation coefficient indicates that the relationship between Local Tuition and Students per Faculty is _______. Select one: a. positively correlated b. not related c. negatively correlated Business School Full-Time Enrollment Students per Faculty Local Tuition ($) Foreign Tuitiion ($) English Test Work Experience Starting Salary ($) 1 Melbourne Business School 200 5 24,420 29,600 No Yes 71,400 2 University of New South Wales (Sydney) 228 4 19,993 32,582 No Yes 65,200 3 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 No No 7,100 4 Chinese University of Hong Kong 90 5 11,140 11,140 No No 31,000 5 International University of Japan (Niigata) 126 4 33,060 33,060 Yes No 87,000 6 Asian Institute of Management (Manila) 389 5 7,562 9,000 No Yes 22,800 7 Indian Institute of Management…
Mr. Acosta, a sodiologist, is doing a study to see ifr there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age 18-23 yr 24-29 yr Drama 15 34 Science Fiction 14 10 6 30 6. Movie 30-35 vr Row Total Comedy 10 | Column Total 9 10 29 31 93 32 30 A USE SALT new window for the SALT program (a) What is the level of arymLaner State the null and alternate hypotheses. OH: Age and movie preference are not independent H,: Age and movie preference are not independent. O H: Age and movie preference are independent. H,: Age and movie preference are independent. OH: Age and movie preference are not independent. H,: Age and movie preference are independent. O H: Age and movie preference are independent. H.: Age and movie preference are not independent. (b) Find the value of the chi-square statistic…
The data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults. What is the best predicted value for y given x = 60? Assume that the variables x and y have a significant correlation. Age, x Pressure, y A. 152 B. 148 C. 150 D. 146 38 41 116 120 45 48 51 53 57 123 131 142 145 148 61 65 150 152

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