Tuesday, July 23, 2019
Business Decision Making Assignment Example | Topics and Well Written Essays - 2000 words - 1
Business Decision Making - Assignment Example alternative hypothesis and conclude that there is a significant difference between the sample mean (average time to departure station 16.68) and the population mean (20 minutes, survey already conducted). Based on the above table results, the probability of significance is 0.948 (>0.05), we accept our null hypothesis and conclude that the mean time to departure station between males and females is not significantly different. They are on par. Null Hypothesis H0: There is no significant difference between the sample mean (average number of times 12.06) and the population mean (14 times). The population SD is not known, so we can utilize sample SD (standard deviation). The sample size is 250. Alternative Hypothesis H1: There is a significant difference between the sample mean and the population mean. The population SD is not known, so we can utilize sample SD (standard deviation). The sample size is 250. =3.73 with probability 0.000096 Hence we reject the null hypothesis and accept the alternative hypothesis and conclude that there is a significant difference between the sample mean (average no. of times a month travelled i.e.12.06) and the population mean (14 times). Based on the above table results, the probability of significance is 0.517 (>0.05), we accept our null hypothesis and conclude that the mean times journey made each month between males and females is not significantly different. They are on par. Question 7: Thinking about the station you travelled FROM, please rate how satisfied you are with the following aspects [facilities, rail services, accessibility, public transport information, personal safety] Interpretation: Since the chi square value of 0.93 with probability 0.92 (>0.05), is not significant, we accept our null hypothesis and conclude that there is no association between gender and ratings on personal safety. The proportion of males who are very dissatisfied are 22/142 and that of females is 17/108. So from proportions test between
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