Find the mode for the following group of data items. If there is no mode, so state. \( 5.8,8,9.2,6.9,8.4,8.4,7.4,8.9,7.8,6.7,6.7 \) Select the correct choice below and, if necessary, fill in the answer box within your choice. A. The mode(s) is/are \( \square \). (Use a comma to separate answers as needed.) B. There is no mode.

8. For a class project, a political science student at a large university wants to estimate the percent of students who are registered voters. She surveyed 190 students and finds that 80 are registered voters. Compute a \( 98 \% \) confidence interval for the true percent of students who are registered voters and interpret the confidence interval. (Round the answers to 4 decimal places.)

Which of these values of the correlation coefficient indicates the weakest relationship between two variables? -0.30 -0.18 0.03 0.42

Activity 1 (Measures of Relative Position) Kindly answer this by group, with at most 5 members for each group. Answer this on a whole sheet of paper. 1. Median Income: In 2009 , the median family income in the United States was \( \$ 49,777 \). (Source: U. Census Bureau) If the 90 th percentile for the 2009 four-person family income was \( \$ 137,632 \), find th percentage of families whose 2009 income was a. more than \( \$ 49,777 \). b. more than \( \$ 137,632 \) c. between \( \$ 49,777 \) and \( \$ 137,632 \)

The first step involved in calculating the Pearson correlation coefficient is to sum all the scores square all the scores calculate the standard deviation for each variable

Se obtuvieron los siguientes resultados para el punto de ebullición, en grados Celsius, de un compuesto de silicio: \( \mathbf{1 6 6} \), \( \mathbf{1 4 1 , 1 3 6 , 1 5 3 , 1 7 0 , 1 6 2 , 1 5 5 , 1 4 6 , 1 8 3 ,} \) \( \mathbf{1 5 7 , 1 4 8 , 1 3 2 , 1 6 0 , 1 7 5 y} \mathbf{1 5 0} \). Utilice la prueba de Kolmogorov- Smirnoff con un nivel de significancia de \( \mathbf{0 . 0 1} \) para probar la hipótesis nula de que los puntos de ebullición provienen de una población normal con una media \( \boldsymbol{\mu = 1 6 0}{ }^{\circ} \mathrm{C} \) y una desviación estándar \( \boldsymbol{\sigma = 1 0 ^ { \circ }} \mathrm{C} \)