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What type of Chi-Square test is it?? (Goodness of Fit or Association)BrownGreenHazelBluetotalMale?2575??1559??174Female?3070?20??62182Total?55145?35?121??356We have data on the gender and eye color of a random sample of students in high school. We want to test and see if there is a relationship between gender and eye color. Does color impact the chance that a car is stolen? Suppose it is known that of all cars 15% are white, 15% are blue, 30% are black, 35% are red, and 5% are other colors. A random sample of 830 stolen cars is taken and their colors are noted below. Test to see if the cars stolen match the distribution of all cars. Color: White Blue Black Red Other100 230 270 90A program for generating random numbers on a computer is to be tested. The program is instructed to generate 100 single-digit integers between 0 and 9. The frequencies observed are 11, 8, 7, 7, 10, 10, 8, 11, 14, and 14. Is there sufficient reason to believe that the integers are not being generated uniformly?SESSmokingHighMiddleLowCurrent512243Former922128Never68922Smoking vs. Socio-Economic Status (SES). Below is a table of a random sample of 356 PA residents, giving the Smoking status versus Socio-Economic status (SES). Test whether there is an association between the two variables. Does there appear to be a relationship between smoking and socioeconomic status??199520002005Buisness 457963Education253443Humanities/Arts374623Science266272Undecided372949A local college admissions officer wants to know if student choices in majors have changed through the years. He selects a random sample of freshman from 1995, 2000, and 2005 and check’s their choice of major. Test to see whether the majors are affected by the years.Below is a table of a random sample of NYC workers and their favorite first beverage in the morning. In previous research, it has been shown that 50% of people prefer coffee, 30% prefer tea, 10% prefer juice, 8% prefer water and 2% prefer other. Is there evidence that New Yorkers fit this distribution? BeverageCoffeeJuiceWaterTeaOtherCount8915346143What type of Chi-Square test is it?? (Goodness of Fit or Association)BrownGreenHazelBluetotalMale?2575??1559??174Female?3070?20??62182Total?55145?35?121??356We have data on the gender and eye color of a random sample of students in high school. We want to test and see if there is a relationship between gender and eye color. Does color impact the chance that a car is stolen? Suppose it is known that of all cars 15% are white, 15% are blue, 30% are black, 35% are red, and 5% are other colors. A random sample of 830 stolen cars is taken and their colors are noted below. Test to see if the cars stolen match the distribution of all cars. Color: White Blue Black Red Other100 230 270 90A program for generating random numbers on a computer is to be tested. The program is instructed to generate 100 single-digit integers between 0 and 9. The frequencies observed are 11, 8, 7, 7, 10, 10, 8, 11, 14, and 14. Is there sufficient reason to believe that the integers are not being generated uniformly?SESSmokingHighMiddleLowCurrent512243Former922128Never68922Smoking vs. Socio-Economic Status (SES). Below is a table of a random sample of 356 PA residents, giving the Smoking status versus Socio-Economic status (SES). Test whether there is an association between the two variables. Does there appear to be a relationship between smoking and socioeconomic status??199520002005Buisness 457963Education253443Humanities/Arts374623Science266272Undecided372949A local college admissions officer wants to know if student choices in majors have changed through the years. He selects a random sample of freshman from 1995, 2000, and 2005 and check’s their choice of major. Test to see whether the majors are affected by the years.Below is a table of a random sample of NYC workers and their favorite first beverage in the morning. In previous research, it has been shown that 50% of people prefer coffee, 30% prefer tea, 10% prefer juice, 8% prefer water and 2% prefer other. Is there evidence that New Yorkers fit this distribution? BeverageCoffeeJuiceWaterTeaOtherCount8915346143 ................
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