Help please! (b) Despite the results being statistically significant, the authors stated in their article about the first study: "The field study did not support an examination of why more creative store windows led consumers to enter the stores. … The use of actual retailers' real store windows meant that the level of creativity was not the only variable that differed among the retailers and their windows." How does the second study address some of those drawbacks? Does either study suffer from a lack of realism? Choose the best explanation. A) The drawbacks in the first study were that it was an observational study and that it did not control for confounding variables (such as variations in merchandise and potential customers). The second study addresses these drawbacks by using the same retailer and the same merchandise, and by only changing the creativity of the window display. Neither study suffers from a lack of realism, since statistically significant results were obtained. B) The drawbacks in the first study were that it was an observational study and that it did not control for confounding variables (such as variations in merchandise and potential customers). The second study addresses these drawbacks by using the same retailer and the same merchandise, and by only changing the creativity of the window display. Both studies suffer from a lack of realism, because the study design does not duplicate the conditions of all retailers. Rather, we can only appropriately draw conclusions for similar retailers within this same geographic region. C) The drawbacks in the first study were that it was an observational study and that it did not control for confounding variables (such as variations in merchandise and potential customers). The second study did not address these drawbacks, since the participants are random and their attributes are not controlled for. The first study does not suffer from a lack of realism, since it uses real stores. The second study does suffer from a lack of realism, since it uses images instead of real stores. D) The drawbacks in the first study were that it was an observational study and that it did not control for confounding variables (such as variations in merchandise and potential customers). The second study addresses these drawbacks by using the same retailer and the same merchandise, and by only changing the creativity of the window display. Both studies suffer from a lack of realism, because in real life you do not have researchers observing you.
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
Help please!
(b) Despite the results being statistically significant, the authors stated in their article about the first study:
"The field study did not support an examination of why more creative store windows led consumers to enter the stores. … The use of actual retailers' real store windows meant that the level of creativity was not the only variable that differed among the retailers and their windows."
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