Question

the data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. complete parts (a) to (c) below. (b) does there appear to be a difference in the number of chips per cookie? a. no. there appears to be no difference in the number of chips per cookie. b. yes. the store brand appears to have more chips per cookie. c. yes. the name brand appears to have more chips per cookie. d. there is insufficient information to draw a conclusion. (c) does one brand have a more consistent number of chips per cookie? a. yes. the store brand has a more consistent number of chips per cookie. b. no. both brands have roughly the same number of chips per cookie. c. yes. the name brand has a more consistent number of chips per cookie. d. there is insufficient information to draw a conclusion.

Explanation:

Step1: Observe the data

By looking at the data set of number of chocolate - chips per cookie for name brand and store brand, we can make initial comparisons.

Step2: Compare the central tendency (mentally estimate)

Just by looking at the values, we can see that the name - brand values seem to be generally higher than the store - brand values for part (b). For part (c), to determine consistency, we would need to calculate measures of dispersion like variance or standard deviation. But since we are not doing calculations and just making a visual assessment, we note that the store - brand values seem to be more spread out.

Answer:

(b) C. Yes. The name brand appears to have more chips per cookie.
(c) A. Yes. The store brand has a more consistent number of chips per cookie.