Identify the reasons the following statements are incorrect. Not all reasons will be used. Researchers found that the correlation between the number of pages in novels and the number of hours it takes to read them is r = 0.71 pages. The correlation between scores on an intelligence test and the test-takers' hair colors is r = -0.13. The amount of ice cream in a sundae and the total grams of fat are highly correlated (r = 1.15). The correlation between average gas mileage in miles per gallon and average highway speeds in miles per hour differs from the correlation between average gas mileage in miles per gallon and average highway speeds in kilometers per hour.

Researchers examined the influence of a television program on children's aggressiveness. The number of aggressive responses was measured during an observation period after viewing the television program. Imagine that the known national average for number of aggressive responses typically performed by children who do not watch television is 6.847. Use the data below to conduct an analysis to determine if the number of aggressive responses on average is different from the national average. The data for this study can be found below, answer questions based on data. What is the null and alternative hypotheses in words and symbols? Is the assumption(s) met? Please explain your answer and proceed with the analysis even if the assumption(s) is not met.    What do you conclude from your analysis?   Based on your response in “c” above, identify and explain the type of error you could be making.   responses 9 4 11 12 14 7 12 10 11 8 14 12 8 12 7 10 10 9 5…

You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…

An industrial-organizational psychologist is interested in discovering the relationship between the tempo of preferred music that is played in a workplace and employee mood. Employees chose their favorite song on an MP3 player and then reported their moods when listening to that piece of music. A total of 10 participants were asked individually and brought in their own MP3 players; the least number of songs on an employee's MP3 player was 350. The sample data are presented as a scatterplot below. The psychologist wants to use a Pearson correlation coefficient to analyze the relationship. Considering the assumptions for this statistic, which of these statements is the correct course of action? A. The researcher has chosen the wrong statistic to represent this relationship. B. The researcher has violated a robust assumption and should be able to calculate r. C. The researcher has chosen the right statistic because all the assumptions are valid. D. The researcher has violated a…

refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. 10) Which variable (GDP, percent using cell phones, literacy rate, or fertility rate) has the strongest linear association with Internet use? Which variable has the weakest linear association with Internet use? Strongest: Weakest:

PrActicE the legalization of marijuana. Among the Democratic voters surveyed, 158 of the 200 people aged 18-29 and 210 of the 300 people aged 50-64 supported legalizing marijuana. Is this difference significant at a = .05? A random sample of individuals in one town was surveyed about their position on

Use the output below to test to see if there is a significant positive linear relation between height and head circumference in children. Use a 5% level of significance. Correlations: Height, Head Circ Pearson correlation of Height and Head Circ 0.911 P-Value 0.000