Winning team data were collected for teams in different sports, with the results given in the table below. Use the TI-83/84 Plus results at a 0.05 level of significance to test the claim that home/visitor wins are independent of the sport.    χ2=11.976764345   P=0.0074631814      Basketball Baseball Hockey Football   Home team wins 138 54 51 49   Visiting team wins 66 40 51 46     Reject or Fail To Reject the null hypothesis that​ home/visitor wins are independent of the sport. It appears that the​ home-field advantage Does or Does Not depend on the sport.

An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow.   Analyzer Computerized Electronic Car Compact 51 42 Intermediate 55 43 Full-sized 62 47 Use ? = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: ?Computerized ≠ ?ElectronicHa: ?Computerized = ?ElectronicH0: ?Computerized = ?Electronic = ?Compact = ?Intermediate = ?Full-sizedHa: Not all the population means are equal.    H0: ?Computerized = ?ElectronicHa: ?Computerized ≠ ?ElectronicH0: ?Compact ≠ ?Intermediate ≠ ?Full-sizedHa: ?Compact = ?Intermediate = ?Full-sizedH0: ?Compact = ?Intermediate = ?Full-sizedHa: ?Compact ≠ ?Intermediate ≠ ?Full-sized Find the value of…

An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow.       Analyzer     Computerized Electronic Car Compact 52 43 Intermediate 55 44 Full sized 61 45 Use ? = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: ?Compact ≠ ?Intermediate ≠ ?Full-sizedHa: ?Compact = ?Intermediate = ?Full-sized H0: ?Compact = ?Intermediate = ?Full-sizedHa: ?Compact ≠ ?Intermediate ≠ ?Full-sized    H0: ?Computerized = ?Electronic = ?Compact = ?Intermediate = ?Full-sizedHa: Not all the population means are equal. H0: ?Computerized ≠ ?ElectronicHa: ?Computerized = ?Electronic H0: ?Computerized = ?ElectronicHa: ?Computerized ≠ ?Electronic Find the…

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An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow.   Analyzer Computerized Electronic Car Compact 49 41 Intermediate 55 44 Full-sized 64 47 Use ? = 0.05 to test for any significant differences. Find the value of the test statistic. (Round your answer to two decimal places.)   Find the p-value. (Round your answer to three decimal places.) p-value =

An experiment was conducted in which two fair di results. Use the histogram to complete parts (a) t

From sample data collected, we want to see if any relationship exists between specific products and the color in which they were ordered. The table below shows the number of times each product was ordered in each color. A chi-square test of independence will help to determine whether a relationship exists between product and color. Product A Product B Product C Black 30 40 50 Red 10 58 22 Silver 60 35 10 Is there a relationship between product and color, using a = .05?

Regarding the independent t test equation:a. What does it tell about a study to have the numerator of the ttest (only the top two numbers) result in a large number?b. What does it tell about a study when the denominator (SEM) of the ttest is small?c. What does it tell about a study when the overall equation for the t test is a big number?

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.

A polling firm randomly surveys 240 registered voters across the United States. Two of the survey questions ask respondents to state their gender (male or female) and their political affiliation (democrat, republican, Independent, or other). The results of this survey are shown in the table below. Female Male Totals Democrat Republican Independent Other Totals 145 95 240 73 35 108 44 22 66 22 34 56 10 6 4 X (a) Suppose we would like to perform a chi-square test to see if gender and affiliation are associated. Use a 0.1. What are the degrees of freedom for this test? 3 (b) Find the (standardized) residual for the female with Independent as their political affiliation. (Round your answers to three decimal places.) 2.034 (c) The residual shows that there were fewer females than expected in the Independent category. (d) Given p-value is 0.003, what is the statistical decision? Enter a number O Reject Ho and conclude that gender and political affiliation are independent. Reject Ho and…