How strong is this relationship? Obtain the correlation. (Provide your answer to four decimal places.) r=
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How strong is this relationship? Obtain the
r=
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- Burning fuels in power plants and motor vehicles emits carbon dioxide (CO2), which contributes to global warming. The CO2 emissions (metric tons per capita) for countries varies from 0.02 in Burundi to 44.02 in Qatar. Although the data set includes 214 countries, the CO2 emissions of 15 countries are not available on the World Bank database. The data set is too large to display but the data for the first five countries is given. Use the full data set with data on the 214 countries to answer the questions. To access the complete data set, click the link for your preferred software format: Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT CSV Crunchlt! Country CO2 Emissions (Metric Tons per Capita) Aruba 23.92 Andorra 5.97 Afghanistan 0.43 Angola 1.35 Albania 1.61 Find the mean and the median for the full data set. Round your answers to three decimal places. The mean for these data is tons per person The median for these data is tons per personThe deadly Ebola virus is a threat to both people and gorillas in Central Africa. An outbreak in 2002 and 2003 killed 91 of the 95 gorillas in seven home ranges in the Congo. To study the spread of the virus, measure "distance" by the number of home ranges separating a group of gorillas from the first group infected. Here are data on distance and time in number of days until deaths began in each later group. (Data set may be found here.) Distance 1 3 4 4 4 5 Time 4 21 33 41 43 46 (a) Make a scatterplot. Which is the explanatory variable? What kind of pattern does your plot show?(b) Find the correlation r between distance and time.The deadly Ebola virus is a threat to both people and gorillas in Central Africa. An outbreak in 2002 and 2003 killed 91 of the 95 gorillas in seven home ranges in the Congo. To study the spread of the virus, measure "distance" by the number of home ranges separating a group of gorillas from the first group infected. Here are data on distance and time in number of days until deaths began in each later group. (Data set may be found here.) Distance 1 3 4 4 4 5 Time 4 21 33 41 43 46 (a) Make a scatterplot. Which is the explanatory variable? distance time either distance or time Correct: Your answer is correct. What kind of pattern does your plot show? There is a strong positive linear association between distance and time. There is a strong negative linear association between distance and time. There is little to no association between distance and time. Correct: Your answer is correct. ( b) Find the correlation r between distance and time. (Round your answer to four decimal places.) (c)…
- Identify research topics that are well suited for survey research.Create a side-by-side boxplot for vitamin D level vs. NewAge and a side- by-side boxplot for vitamin D level vs. country. Create a scatterplot to show the relationship between vitamin D level and Age. Compare these two side-by-side boxplots and the scatterplot and explain your findings. • Note: Write appropriate captions for the tables, graphs, and outputs.Using the given result/data, create a discussion with backup related literature.
- The poison dart frog, Dendrobates auratus, is native to Costa Rica and other areas of Central and South America. They were introduced to Hawaii and have flourished there. These frogs concentrate toxins from their food and also modify various ingested compounds into toxins called allopumiliotoxins. A small sample of these frogs was collected on Kauai Island and their overall lengths measured in cm. The data appear below. 4.1 5.2 4.3 5.1 4.7 4.5 3.9 4.6 4.3 For this sample find the following: (a) the sum of the X's; (b) the sample mean; (c) the uncorrected sum of squares; (d) the corrected sum of squares; (e) the standard deviation:Does the table above represent a porportion relationship. Explain whyGive the statistical meaning of the relationship between the spending hours on using mobile andreading books per day.
- The Air Quality Index (AQI) is used to measure air quality near roadways and industrial regions in large cities. Governments report AQI values for common pollutants to keep the public informed about air quality. AQI values of 0-50 are regarded as good, 51-100 as moderate, 101-150 as unhealthy for sensitive individuals, 151-200 as unhealthy, 201-300 as very unhealthy, and beyond 300 as hazardous. The following data are a random sample of 20 AQI values for N02 (Nitrogen Dioxide), in Scottsdale Arizona, between the years 2000 and 2010. The sample mean is =37.95 and the sample standard deviation is s = 18.58. a. Test if the average NO2 AQI is good (less than 50) in Scottsdale Arizona. Complete all 6 steps of your hypothesis test, including a discussion of the assumptions. Use the 1% significance level b. Obtain and interpret a 99% two-sided confidence interval mean NO2 AQI level in Scottsdale Arizona. c. An independent study estimates that the average NO2 AQI level is 35 in Arizona.…A graph that uses vertical bars to represent qualitative data is called aIn order to determine if there was a relationship between living near power lines and a rare disease, what type of study design could be used? Edit View Insert Format Tools Table