Hence h 0 is accepted while h 1 is rejected because p 005 which is 0158 3

# Hence h 0 is accepted while h 1 is rejected because p

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house and district. Hence, h 0 is accepted, while h 1 is rejected because p > 0.05 which is 0.158. 3. Number of Rooms Chi-Square Tests Value df Asymptotic Significance (2-sided) Pearson Chi-Square 57.333 a 39 0.029 Likelihood Ratio 42.912 39 0.307 Linear-by-Linear Association 14.635 1 0.000 N of Valid Cases 20 a. 56 cells (100.0%) have expected count less than 5. The minimum expected count is .05. Based on data above, we can see that the price of the house does affected by district. The h 1 stated that there is relationship between the price of the house and district. Hence, h 1 is accepted, while h 0 is rejected because p < 0.05 which is 0.029. ANOVA TEST 1. District ANOVA Price (RM) Sum of Squares df Mean Square F Sig. Between Groups 281250000.000 1 281250000.000 0.047 0.831 Within Groups 108173700000.000 18 ########### Total 108454950000.000 19 Based on the data above, the value of p is 0.831 which is bigger than 0.05. Hence, h 1 is rejected, while h 0 is accepted. Therefore, there is no relationship between the price of house and district. Based on the graph above, the price of house at Skudai is higher than in Johor Bahru. 2. Tenure ANOVA Price (RM) Sum of Squares df Mean Square F Sig. Between Groups 281250000.000 1 281250000.00 0 0.047 0.831 Within Groups 108173700000.000 18 ########### Total 108454950000.000 19 Based on the data above, the value of p is 0.831 which is bigger than 0.05. Hence, h 1 is rejected, while h 0 is accepted. Therefore, there is no relationship between the price of house and tenure. Based on the graph above, the price of house at leasehold is higher than in freehold 3. Number of Rooms ANOVA Price (RM) Sum of Squares df Mean Square F Sig. Between Groups 84855516666.667 3 ########### 19.177 0.000 Within Groups 23599433333.333 16 ########### Total 108454950000.000 19 Based on the data above, the value of p is 0.000 which is smaller than 0.05. Hence, h 0 is rejected, while h 1 is accepted. Therefore, there is relationship between the price of house and number of rooms.  #### You've reached the end of your free preview.

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