14. What is the overall message/story that these graphs collectively depict about the cases and deaths from COVID-19 in King County? (2 points)

15. In both COVID-19 cases and deaths data in King County, which race/ethnic group has the most accuracy in its estimate and which race/ethnic group has the least accuracy in its estimate? (2 points)

In this chart, a statistical method called age-adjustment is used so that rates across race/ethnicity groups that have different age distributions O all cases can be compared with one another. The bars represent the rate for each @) all cases excluding skilled nursing and assisted living residents group. The rates for each race/ethnicity are compared to Whites. An Select: orange bar indicates that the rate is significantly higher relative to Whites. A grey bar indicates that the rate is not significantly different O cases than Whites. A dark blue bar indicates that the rate is significantly lower O deaths than Whites. O hospitalized cases Age-adjusted rates per 100,000 residents Reference group Significantly higher than reference group The black lines represent the 95% confidence White intervals (error bars). You can hover over the bars/lines to see more details. Black Hispanic Latinx Asian NHPI AI/AN 0 50 100 150 200 250 300 350 400 450 Age-adjusted rates per 100,000 residents Cases missing age were excluded from this analysis so overall counts may be different. Rates are age-adjusted using the King County 2019 population. Abbreviations: AI/AN = American Indian/Alaska Native NHPI = Native Hawaiian/Pacific Islander Other = Other or multi-racial Race groups are mutually exclusive, and Hispanics are counted as a race unless stated