For the given scenario, determine the type of error that was made, If any. (Hint: Begin by determining the null and alternative hypotheses.) Economists considered \( \$ 3.110 \) as the mean price for gallon of unleaded gasoline in the United States in a certain year. One consumer claims that the mean price for gallon of unleaded gasoline in the United States in a certain year Is less than \( \$ 3.110 \). The consumer conducts a hypothesis test and rejects the null hypothesis. Assume that in reality, the mean price for gallon of unleaded gasoline in the United States in a certain year is \( \$ 3.110 \). Was an error made? If so, what type? Answer 2 Points Prev O Yes; Type I error O No; correct decision

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

In a hypothesis test for the Pearson correlation coefficient, the null hypothesis is rejected when \( r=0 \) \( r<\alpha \) \( p<\alpha \) \( p=0 \)

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 \( \boldsymbol{\sigma = 1 0 ^ { \circ }} \mathrm{C} \)

Using the Pearson correlation coefficient to analyze the relationship between two variables is only appropriate if the variables are__ variables. one scale and one nominal ordinal nominal scale