Question: Please answer the questions in the screenshot 1. Parametric tests (such as the t or ANOVA) differ from nonparametric tests (such as chi square) primarily
Please answer the questions in the screenshot

1. Parametric tests (such as the t or ANOVA) differ from nonparametric tests (such as chi square) primarily in terms of the assumptions they require and the data they use. Explain these differences. 2. What type of data does the ChiSquare compare? 3. A developmental psychologist would like to determine whether infants display any color preferences. A stimulus consisting of four color patches (red, green, blue and yellow) is projected onto the ceiling above a crib. Infants are placed in the crib, one at a time, and the psychologist records how much time each infant spends looking at each of the four colors. The color that receives the most attention during a 100 second test period is identified as the preferred color for that infant. The preferred colors for a sample of 60 infants are shown in the following table: Red Green Blue Yellow 20 12 18 10 a. What is the expected frequency of each color? b. What is the null hypothesis? c. X2 = (3,N=60) =4.53, p>.05 Using this APA formatted result, was the chi-square significant? What does your answer mean in words
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
