domestic violence.docx

# Male 00494 female 00891 p p p p mn 00494220 fn

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male = 0.0494, female = 0.0891 p p p p = ( (m)*n = 0.0494*220) + ( (f)*n = 0.0891*150) p p p p = 10.868 + 13.365 = 24 people 3. Write down the number women in the sample that are the victim in domestic violence when 20 are chosen at random. = *n p p = 0.7506*20 = 15.012 women 4. In a group of 888 people between the age of 20 - 39, determine the probability that if 20 are selected at random that 5 will be females. Then, use your calculator to construct a probability distribution table which summarises the sampling proportion of men when 15 are selected. men = 0.093, women = 0.3921 p p p p p 40-44 0.0265 0.0893 35-39 0.0251 0.0945 30-34 0.0228 0.1027 25-29 0.0227 0.1032 20-24 0.0224 0.0917 15-19 0.0181 0.0537 10-14 0.0148 0.0214 5-9 0.0118 0.0097 0-4 0.0047 0.0043 Men Women Total population 19126 57512 Mean 1366.1429 4108.0000 Variance 244540.4396 8106957.8462 Standard deviation 494.5103 2847.2720 E( ) p p 0.2496 0.7504 sd( ) p p 0.0309 0.0309 confidence interval 99% 0.1698, 0.3293 0.6707, 0.8302 margin of error 99% 0.0798 0.0798

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= MENU — 5,3 = probability is 5.31912E-62 that 15 men and 5 women will be selected in a random group. 5. Find the gender probability, the number of females as the victim in domestic violence > mean number of males a. Probability that male victim rate > 0.5 =0.2494, sd( ) = 0.003162 p p p p Pr(p>0.5)=0 b. Probability that female victim rate > 0.5 =0.7506, sd( )=0.001804 p p p p Pr(p>0.5)=1 c. Compare the results The probability of males being the victim more than 50% is 0 as the female victim probability is so high, this makes the probability of females being the victim 50% of the time at 1 (100%). Discussion This report will be used to present the data to the government with calculations to show the extent of damage created by domestic violence and by analysing the data from previous year the government would be able to determine if the age of domestic violence is getting younger or not.
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