Question

In the flexed arm​ condition, what is the probability that a consumer has a choice score of

Answer 1

Determining the probability of a consumer having a specific choice score in the flexed arm condition requires statistical data or a probability distribution function, which are not provided in the question.

Step-by-step explanation:

Without additional context about the "flexed arm condition" or information on how the "choice score" is distributed, calculated, or determined, it is not possible to calculate the probability that a consumer has a specific choice score. To determine probabilities related to choice scores, one would need statistical data or a probability distribution function indicating how choice scores are assigned or occur among consumers in the flexed arm condition. In statistics, such probabilities are typically derived from understanding the mean, standard deviation, and the shape of the distribution curve, such as being normally distributed or having some other form.

Answer 2

A study was conducted to determine if consumers are more likely to choose a vice product (e.g., a candy bar) when their arm is flexed (as when carrying a shopping basket) than when their arm is extended(as when pushing a shopping cart). The study measured choice scores (on a scale of 0 to 100, where higher scores indicate a greater preference for vice options) for consumer shopping under each of the two conditions. The average choice score for consumers with a flexed arm was 60, while the average for consumers with an extended arm was 43. For both conditions, assume that the standard deviation of the choice scores is 6. Also assume that both distributions are approximately normally distributed. Complete part a. a. In the flexed arm condition, what is the probability that a consumer has a choice score of 56 or greater? what is the probability that a consumer in the extended arm condition has a choice score of 56 or greater?