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hello, please use population and the ethnicities, particularly Latino and caucasian and Asian to answer the questions below. Thank you! @ Population estimates, July 1,

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hello, please use population and the ethnicities, particularly Latino and caucasian and Asian to answer the questions below. Thank you!

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@ Population estimates, July 1, 2019, (V2019) 208,881 Population @ Population estimates, July 1, 2019, (V2019) 208,881 Population estimates base, April 1, 2010, (V2019) 198,047 Population, percent change - April 1, 2010 (estimates base) to July 1, 2019, (V2019) 5.5% Population, Census, April 1, 2020 X Population, Census, April 1, 2010 197,899Race and Hispanic Origin White alone, percent A 75.9% Black or African American alone, percent (a) A 2.6% American Indian and Alaska Native alone, percent (a) A 1.3% Asian alone, percent (a) A 7.2% Native Hawaiian and Other Pacific Islander alone, percent (a) A 0.3% Two or More Races, percent A 3.2% @ Hispanic or Latino, percent (b) A 73.6% 1 White alone, not Hispanic or Latino, percent A 14.5%o Confidence Interval (35 points): . Find the margin of error for a 95% confidence interval. . Interpret the margin of error. . Give the 95% confidence interval. . Write at least one sentence interpreting your confidence interval in context. - Based on your confidence interval, answer your research question. . Testing a hypothesis (35 points): . Determine the hypothesis: - Null Hypothesis . Alternative Hypothesis . Use the data you have collected to assess the evidence: . Calculate your test statistics (t-score, z-score, F-score, etc) - Explain whether you think your test statistics is usual or unusual. . Using the technology or table, calculate the p-value. . State a conclusion: . Comparing p-value to the significance level, explain whether you reject or fail to reject the null hypothesis. . Interpret your results. . Correlation and Regression - This is another option and gradings will be done accordingly (35 points) Provide the correlation coefficient. Select the dependent and independent variable(s) Create a regression model. Provide the output and scatter plot (if available) Test the regression for validity. Interpret your results

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