Is there a gender difference in red-light running? Observations are made watching cars from the point when the light turns from green (Go) to yellow (Caution), and then yellow to red (Stop). Traffic violations and gender of the driver are recorded and summarized in the table below:**Table B: Red-light running by gender**| Action | Male | Female ||-------------------|------|--------|| Runs red | 21 | 10 || Runs yellow | 23 | 22 || Slows and stops | 55 | 76 |After computing a chi-square test of independence at alpha = 0.05, complete the sentences below by **choosing 4 correct answers** (NO PARTIAL CREDIT):Because the obtained Chi-square is [v] than the critical value of Chi-square, p-value is [w] than alpha. Consequently, [x] hypothesis is [y]. Thus, there is [z] evidence that one variable is contingent upon the other variable.- [ ] Because the obtained Chi-square is less than the critical value of Chi-square,- [ ] Because the obtained Chi-square is larger than the critical value of Chi-square, - Because the obtained Chi-square is larger than the critical value of Chi-square, - p-value is less than alpha. - p-value is larger than alpha. - Consequently, null hypothesis is rejected. - Consequently, null hypothesis is not rejected. - Consequently, alternative hypothesis is rejected. - Consequently, alternative hypothesis is not rejected. - Thus, there is sufficient evidence that one variable is contingent upon the other variable at the alpha level. - Thus, there is no sufficient evidence that one variable is contingent upon the other variable at the alpha level.

There are two categorical variables which are action and gender. Action has 3 cases and gender has 2…

Answered: Is there a gender difference in…

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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A researcher studies the height of single-building malls in a city and creates the following histogram. Which of the following conclusions is correct? Height of Mall 40 35 30 25 20 15 10 30 to 70 70 to 150 150+ Building Height (feet) e 2018 Glynlyon, Inc. O The height of a mall increases as the number of businesses inside the mall increases. O The height of a mall increases as the number of businesses inside the mall decreases. O The height of a mall decreases as the number of businesses inside the mall increases. O The height of a mall is not related to the number of the businesses inside the mall. Number of Businesses in Mall
A student surveyed a random sample of 301 students in her large college and collected the data in the table below, on the variables class year and favorite team sport. Perform a chi-square test to determine if the variables class year and favorite team sport are independent. Basketball Soccer Baseball/Softball Other Total Freshman 12 41 11 1 65 Sophomore 12 43 17 7 79 Junior 10 44 10 11 75 Senior 10 49 18 5 82 Total 44 177 56 24 301 What is the test statistic for the chi-squared test? (round to 3 dp) . The p-value for this test is . (If p-value <0.001, enter 0, otherwise report to 4 dp) Select the appropriate conclusion for this test at a significance level of α=0.05.A. Reject H0H0. We have significant evidence that class year and team sports are not independent.B. Fail to reject H0H0. We do not have significant evidence that class year and team sports are not independent.
An insurance investigator has observed that people with some astrological signs tend to be safer drivers than people with other signs. Using insurance records, the investigator classified 150 people according to their astrological signs and whether or not they were involved in a car accident during the previous 12 months. Do the following data indicate a significant relationship between sign and accidents? Test with a = .05. Libra Leo Gemini Accident 7 4 19 No Accident 73 46 1
Is there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head Short and Slender 81 87 50 Short and Pudgy 80 98 78 Tall and Slender 57 113 79 Tall and Heavy 50 101 71 R vector Data: 81,80,57,50,87,98,113,101,50,78,79,71 Contigency Table What can be concluded at the a = 0.01 significance level? a. What is the correct statistical test to use? Select an answer b. What are the null and alternative hypotheses? Ho: Select an answer H: Select an answer c. The test-statistic for this data = (Please show your answer to three decimal places.)
The following histogram summarizes height data, in cm, for a sample of male participants in the 2015-2016 National Health and Nutrition Examination Survey. 40 35 00 30 25 25 Frequency 20 20 15 10 5 NHANES Male Heights 0 87.3 97.5 107.7 117.9 128.1 138.3 148.5 158.7 168.9 179.1 189.3 Height (cm) XLSTAT Trial What relationship do you expect between the mean and median male height? The mean and median are approximately equal. The mean is greater then the median. The mean is less than the median.
A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected. Number of Facilities Average Distance (miles) 9 1.67 11 1.11 16 0.84 21 0.61 27 0.51 30 0.48 (a) Develop a scatter diagram for these data, treating average distance traveled as the dependent variable. CELL 0.2 0.4 0.6 0.8 1.2 1.4 1.6 1.8 Number Number Number Distance @ (b) Does a simple linear regression model appear to be appropriate? Explain. O Yes, the scatter diagram suggests that there is a linear relationship. O No, the scatter diagram suggests that there is no relationship. O No, the scatter diagram suggests that there is a curvilinear relationship. (c) Develop an estimated regression equation for the data of the form ý = b + b₁x + b₂x²: a second-order model with one predictor variable. (Round your numerical values to four decimal places.) ŷ =

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