1. A developmental psychologist would like to determine whether infants display any color preferences. A stimulus consisting...
Question:
1. 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 colors. The color that receives the most attention during an 100-second test period is identified as the preferred color for that infant. The preferred colors for a sample of 80 infants are shown in the following table:
Red | Green | Blue | Yellow |
25 | 18 | 23 | 14 |
Answer the following questions:
1) What is the null hypothesis for this research project? (Be sure to include the expected n of infants for each color group).
2) What is the chi square value?
3) What is the two-tailed p-value?
4) What are the degrees of freedom?
5)Do the data indicate any significant preferences among the four colors? (Test at the 0.05 level of significance)
2. Briefly list one benefitand one disadvantage associated with increasing the sample size from a population of interestfor survey research.
3.List the 4elements of an ideal survey.
4.Briefly describe the difference between a Type I (alpha)error and a Type II (beta)error.
5A researcher uses a sample of n = 60participants to test whether people have any preferences among three brands of protein bars.Each person tastes all three types of protein bars then picks a favorite.What are the expected frequencies for the chi-square test for goodness of fit?
a.1/3, 1/3, 1/3
b.10, 10, 10
c.20, 20, 20
d.60, 60, 60
6..You have chosen to use aLikertscale to rate respondents' perceptions of noise in the classroom. The ratings are as follows:
1 = Never 2 = Rarely 3 = Sometimes 4 = Frequently 5 = Always
Once responses are received, is it acceptable to sum the values, obtain mean values and standard deviations to analyze the data? Why/why not?
If not, which statistical analysis would you employ?