According to literature on brand loyalty, consumers who are loyal to a brand are
ID: 3061130 • Letter: A
Question
According to literature on brand loyalty, consumers who are loyal to a brand are likely to consistently select the same product. This type of consistency could come from a positive childhood association. To examine brand loyalty among fans of the Chicago Cubs, 373 Cubs fans among patrons of a restaurant located in Wrigleyville were surveyed prior to a game at Wrigley Field, the Cubs' home field. The respondents were classified as "die-hard fans" or "less loyal fans." Of the 135 die-hard fans, 87.4% reported that they had watched or listened to Cubs games when they were children. Among the 238 less loyal fans, 66.4% said that they watched or listened as children. (Let D = pdie-hard pless loyal.)
(a) Find the numbers of die-hard Cubs fans who watched or listened to games when they were children. Do the same for the less loyal fans. (Round your answers to the nearest whole number.)
(b) Use a one sided significance test to compare the die-hard fans with the less loyal fans with respect to their childhood experiences relative to the team. (Use your rounded values from part (a). Use = 0.01. Round your z-value to two decimal places and your P-value to four decimal places.)
(c) Express the results with a 95% confidence interval for the difference in proportions. (Round your answers to three decimal places.)
(___, ___)
die-hard fans less loyal fansExplanation / Answer
(a) Number of die hard fans who watched or listened to games when they were children.= 135 * 87.4/100 = 118
Number of Less loyal fans who watched or listened to games when they were children. = 238 * 66.4/100 = 158
(b) Here pooled estimate p = (118 + 158)/(135 + 238) = 0.74
Standard error of proportion = sqrt [p * (1-p) * (1/n1+ 1/n2)] = sqrt [0.74 *0.26 * (1/135 + 1/238)] = 0.0473
Test statistic
Z = (0.874 - 0.664)/0.0473 = 4.44
P - value = 0.0000
(C) 95% confidence interval for difference in proportions = (0.874 - 0.664) +- Z95% se0
= 0.21 +- 1.96 * 0.0473
= (0.117,0.303)
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