A one way anova is used to compare two means from two

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A one way ANOVA is used to compare two means from two independent (unrelated) groups using the F-distribution. The null hypothesis for the test is that the two means are equal. Therefore, a significant result means that the two means are unequal. Test1 Variable 1 = Location Variable 2 = Average time spent Test2 Variable 1 = Direct Variable 2 = Others Test3 Variable 1 = Referral Variable 2 = Others
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DATA REPRESENTATION – TOTAL TIME Region Total time on site Arizona 86.20736111 California 24.20037037 New York 10.46322917 Texas 9.903854167 Maharashtra 7.407407407 Arizona California New York Texas Maharas htra 86.21 24.2 10.46 9.9 7.41 Total Time on Site
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DATA REPRESENTATION - BOUNCES Region Bounces Arizona 13262 California 4531 New York 2884 Texas 1990 England 1379 Arizona California New York Texas England 13262 4531 2884 1990 1379 Bounces
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DATA REPRESENTATION – GOAL CONVERSION RATE Region Goal conversion rate Chiayi County 1.3386 Michigan 1.3131 California 1.2947 Texas 1.29 St. Gallen 1.2484 Chiayi County Michigan California Texas St. Gallen 1.34 1.31 1.29 1.29 1.25 Goal Conversion Rate
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DATA REPRESENTATION – GOAL COMPLETION Region Goal completions Arizona 13856 California 4668 New York 2681 Texas 2459 Illinois 1412 Ar i zo n a C a li f o rn ia N e w Yo r k Texa s Illi n o is 13856 4668 2681 2459 1412 Goal completions
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TEST1 Since Sig value = 0.021 (p = 0.021) which is below of 0.05 which implies there is statistically significant difference on total time spent on website in between USA Customers and Non USA customers.
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  • Fall '18
  • Null hypothesis, Statistical hypothesis testing, World Wide Web, Statistical significance

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