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A survey of Ohio University students was conducted to determine if there was a particular Green that was desired by students to live on. A sample of students responses are reproduced below. Do students prefer a particular Green? Use critical value = 5.99. Use the numbers below for this question only! West Green South Green 29 East Green 111 73 What would the expected value for the West Green be? A survey of Ohio University students was conducted to determine if there was a particular Green that was desired by students to live on. A sample of students responses are reproduced below. Do students prefer a particular Green? Use critical value = 5.99. Use the numbers below for this question only! West Green South Green 41 East Green 76 51 What is the calculated chi-squared value? Using a critical value of 5.99, was there a significant preference for where students live based on the obtained chi-square value in Question 2? Yes No A local sports bar wanted to determine whether Ohio University students prefer a particular type of food in their establishment. A sample of students responses are reproduced below. Do students prefer a particular type of bar food? Use critical value = 6.58. Use the numbers below for this question only! Nachos 49 Pizza 39 Chicken Wings 35 Cheese Sticks 38 What would the expected value for Cheese Sticks be? A local sports bar wanted to determine whether Ohio University students prefer a particular type of food in their establishment. A sample of students responses are reproduced below. Do students prefer a particular type of bar food? Use critical value = 6.58. Use the numbers below for this question only! Nachos 41 Pizza 41 Chicken Wings 42 Cheese Sticks 35 What is the calculated chi-squared value? Using a critical value of 6.58, was there a significant preference for what students eat in a sports bar based on the obtained chi-square value in Question 5? Yes No In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Binge Drinking? YES NO Male 241 270 Female 235 267 What would the expected value for the “male-yes” cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Binge Drinking? YES NO Male 212 263 Female 259 260 What would the expected value for the “female-no” cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Test for a relationship in the following data: Use the numbers below for this question only! Binge Drinking? YES NO Male 36 22 Female 24 35 What is the calculated chi-squared value? Using a critical value of 3.84, and based on the obtained chi-square value in Question 9, is there a significant relationship between gender and binge drinking? Yes No In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 249 234 Female 226 226 What would the expected value for the “male-no” cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 220 279 Female 249 218 What would the expected value for the “female-yes” cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Test for a relationship in the following data: Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 47 26 Female 27 46 What is the calculated chi-squared value? Using a critical value of 3.84, and based on the obtained chi-square value in Question 13, is there a significant relationship between gender and alcohol-related arrests? Yes No Which of the following shows relationships between measurement variables? Bar graph Line graph Pie chart Pictogram Scatterplot Papa Johns conducted a survey of 100 nursing students taking statistics to determine what toppings they preferred on their pizza. Data handlers converted students’ responses into a pie (no pun intended) chart to display the results clearly to upper management. Did the data handlers do a good job in constructing a quality statistical picture? Examine the statistical picture below and if you see a feature that is problematic (e.g., inaccurate or misleading), place your cursor over that feature and click. If you change your mind, click on the clear button on the bottom left and you can begin again. If you decide the statistical picture contains no problematic features, click just above the word “cheese.” (Hint: Check out the components of a well-designed statistical picture that are listed on page 7 of the Module 6 course notes, such as appropriate Title, correct Source, etc.) If you are having problems getting your choice to register and save, then you are probably not using the Firefox browser. Switching to the Firefox browser should remedy the problem. If the problem persists, let your moderator know what your choice is BEFORE THE ASSIGNMENT DEADLINE! Selected CoordinatesClear For which of the following scenarios would a line graph be most appropriate? Eye color of babies Percentage of men and women in occupational therapy positions Number of patients admitted to a hospital each year from 1990 to 2010 Number of patients on each floor of the hospital yesterday Which of the following is not a true statement about bar graphs? The horizontal axis does not need to be labeled for a bar graph. Bar graphs show percentages or frequencies in various categories. Bar graphs represent categorical data. Pictograms are similar to bar graphs except they use pictures related to the topic. A chi-square test for independence is appropriate with 1 measurement variable 2 measurement variables 1 categorical variable 2 categorical variables 1 points

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