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COLONIAL BROADCASTING: A case study
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AVERAGE RATING FOR CBC
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AVERAGE RATINGS ABN BBS 14.76 12.668
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DESCRIPTIVE STATISTICS
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CBC: LINE GRAPH
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HYPOTHESIS FOR ‘NO OF STARS’
Ho: mu 1= mu2 H1: mu1 is not equal to mu2 the test statistic will be WITH 95% THE CRITICAL t VALUE WILL BE WITH 28 DEGREES FREEDOM CLEARLY WE ACCEPT Ho here is no statistical difference between average ratings of moves with 1 star or 0 stars.
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MULTIPLE REGRESSION WITH FACTS AND STARS
ratings= *D *D2 where D1: dummy = 0 and 1for fact D2: dummy for 0 and 1 star the explanatory power of the variables is seen in terms of R2.this value is which means that only 13.9% of the varaiation in ratings is explained by no of facts and stars.
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NETWORK ANALYSIS Comparing on three parameter-ratings, previous ratings and competition we can see that ABN has highest average ratings ABN has highest average previous ratings The dispersion in these variables in highest for ABN as measured by coefficient of variation. So ABN has got consistent high ratings but the variation in ratings is highest. In this sense ABN is ‘best’.
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PREDICTION OF RATINGS: CBC DATA
Using CBC data we can argue that the use of trend to predict average ratings in a month is NOT advisable as the explanatory power of the trend line is extremely low at 4.6% only.
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USE OF STARS: CBC DATA There is no significance to no of stars in a movie in a statistical sense.
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SIGNIFICANCE OF FACTS vs STARS: REGRESSION ANALYSIS
Individually both the no of facts and no of stars are statistically significant in explaining average ratings. Overall, if we combine the two variables then they explain only 13.9% of the variation in ratings. Clearly we need more variables to explain the variations in average ratings.
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FACT vs STAR ratings= 12.56846 +1.799*D1 +1.25867*D2
Fact contributes to ratings: A 1 unit rise in fact causes ratings to rise by 1.799 Stars contribute to ratings. : an additional star contributes to ratings So the effect of FACT is higher
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FACT + 0 STAR vs FICTION+1 STAR
We do not expect fact based movies with no stars to get any statistically different average ratings from fiction based movies with 1 star .
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