total | Heterosexual | Injected drug user | |
male | 33701 | 2705 | 1129 |
female | 8980 | 3840 | 643 |
total | 42681 | 6545 | 1772 |
a)female=8980/42681 =0.210
b)P(female and injected)=643/42681=0.015
c)P(male or Heterosexual)=(33701+3840)/42681=0.880
The table gives the numbers of new HIV infections in various categories for a certain country and...
The table gives the numbers of new HIV infections in various categories for a certain country and six dependent areas in 2014. Use the table to find the probability that a person diagnosed in 2014 belonged to the following categories. (Round your answers to three decimal places.) Injected Drug User Male Female Total 35,576 9,912 Heterosexual 3,287 7,235 1,600 1,039 (a) female (b) female and an injected drug user (c) male or heterosexual
Based on this graph, how could you write a good paragraph? New HIV Diagnoses Among People Who Inject Drugs in the US and Dependent Areas, 2017* By Sex By Race/Ethnicity Hispanic/Latino: 22% (787) Other Races/Ethnicities: 5% (179) Women: 28% (1,016) White: 45% (1,624) Men: 72% (2,625)* Black/African American: 29% (1,050) By Age 13 to 55 and older: 14% 24: 12% (496) (422) 45 to 54 18% (659) 25 to 34: 33% (1,214) 35 to 44: 23% (846) * Includes infections...