8.67 Free recall memory strategy. Psychologists who study ①memory often use a measure of "free recall" (e.g., the RECALL number of correctly recalled items in a list of to-be- remembered items). The strategy used to memorize the list-for example, category clustering-is often just as important. Researchers at Central Michigan University developed an algorithm for computing measures of cat- egory clustering in Advances in Cognitive Psychology (Oct. 2012). One measure, called ratio of repetition, was recorded for a sample of 8 participants in a memory study. These ratios are listed in the table. Test the theory that the average ratio of repetition for all participants in a similar memory study differs from .5. Select an appropriate Type I error rate for your test. .25 .43 .57 .38 .38 .60 .47 .30 Source: Senkova, O., & Otani, H. "Category clustering calculator for free recall." Advances in Cognitive Psychology, Vol. 8, No. 4, Oct. 2012 (Table 3).

7) A sample of 100 e-mail users were asked whether their primary e-mail account was a free account, an institutional (school or work) account, or an account that they pay for personally. Identify the classes for the resulting data.

6.36 Diabetes and unemployment:  A 2012 Gallup poll surveyed Americans about their employment status and whether or not they have diabetes. The survey results indicate that 1.5% of the 47,774 employed (full or part time) and 2.5% of the 5,855 unemployed 18-29 year olds have diabetes.(a) Create a two-way table presenting the results of this study.   Diabetes No Diabetes Employed ________ __________ Unemployed ________ ___________ (b) State appropriate hypotheses to test for independence of incidence of diabetes and employment status. ( ) H0: μdiabetes=μemployed     Ha: μdiabetes ≠ μemployed ( ) H0: Diabetes status and employment status are independent     Ha: Diabetes status and employment status are not independent ( ) H0: Diabetes status and employment status are dependent     Ha: Diabetes status and employment status are not dependent (c) The sample difference is about 1%. If we completed the hypothesis test, we would find that the p-value is very small (about 0),…

Craik & Tulving ran an experiment to determine how depth of processing during study affects memory. In the study phase, 12 participants made judgments about words. In one block of trials (the visual condition) they indicated whether the words were written in upper case or lower case; in another block of trials (the auditory condition) they indicated whether the words contained an "ee" sound; in another block of trials (the meaning condition) they indicated whether the meaning of the words was pleasant or unpleasant. There were 12 words in each block. After completing the study phase, participants were asked to write down all the words they could remember. Here are the data: Mean Visual 3.5 Auditory 4.5 Meaning 6.0 Standard Deviation 1.5 1.6 1.9 Compared to the within-subjects design, the between-subjects design (select all that apply) Oa. Would have less statistical power O b. Would be less prone to experimenter bias O c. Would be less prone to order effects Od. Would have better…

(3.8.8) The Massachusetts Department of Public Health collects annual data on brain injuries in school athletics. In 2011, the department reported that in their survey of middle and high school students, about 18 percent of students who played on a team in the previous 12 months reported symptoms of a traumatic brain injury while playing sports. These symptoms include losing consciousness, having memory problems, double or blurry vision, headaches, or nausea. During that year, about 200,000 Massachusetts high school students participated in extracurricular sports. How many reported injuries were there? 200,000 x 0.18= 36,000 people reported injuries. b. The survey reports the number injured as a percentage of the number of students participating in extracurricular sports. What is the number injured as a percentage of the population of Massachusetts? In 2011, the population of Massachusetts was 6,512,227

Identify the appropriate test to use for the following scenario: In a study of memory development, researchers selected pictures that could be classified into one of five categories (food, clothes, toys, furniture, animals). The pictures were presented in a random order to eight 4-year-olds and eight 5-year-olds, who were asked to memorize the pictures. The researchers used the order in which the pictures were recalled to obtain a clustering score for each child. A score of 1 meant that the pictures were not clustered by category at all during recall; whereas a score of 10 reflected perfect clustering of objects during recall (for example, all foods recalled first, then all animals, then all toys, etc.). Using alpha = .05, determine whether or not the children of different age groups differed in terms of clustering in memory. Group of answer choices A) Independent Groups t-test B) Correlated Groups t-test C)One-Sample Z-Test D) Block Design

An experimenter wanted to explore the relationship between memory and distraction. Specifically, she hypothesized that people's memory would worsen under conditions of high distraction. To test this, she recruited 100 participants from the community ranging in age from 18-63, and randomly assigned them to either a high distraction or low distraction group. In the high distraction group, participants were asked to memorize list of 20 neutral words ( e.g. chair, light, rabbit) while a smoke detector went off approximately every 30 seconds . In the low distraction group , the participants were asked to memorize the list of 20 words with no sounds present . At the end of a 15-minute study period , all participants were asked to write down as many of the words as they could recall. Identify the dependent variable .

Consider the following statistics in the table below. Does this data support the catch-up hypothesis? Country Taiwan Panama Brazil Algeria Japan Venezuela Belgium United Kingdom New Zealand Real GDP per Capita in 1960 (2005 dollars) $1,861 2,120 2,483 4,105 5,586 7,015 10,132 11,204 14,263 Annual Growth in Real GDP per Capita, 1960-2010 5.86% 3.32 2.45 0.85 3.52 0.52 2.54 2.26 1.34 L

Identifying Spam Text Messages Bayes' rule can be used to identify and filter spam emails and text messages. This question refers to a large collection of real SMS text messages from participating cellphone users. In this collection, 747 of the 5574 total messages (13.40 % ) are identified as spam. Of all spam messages, 17.00 % contain both the word "free" and the word "text" (or "txt"). For example, "Congrats!! You are selected to receive a free camera phone, txt ****** to claim your prize." Of all non-spam messages, 0.06 % contain both the word "free" and the word "text" (or "bxt"). Given that a message contains both the word "free" and the word "text" (or "txt"), what is the probability that it is spam? Round your answer to three decimal places. P(Spam if Text and Free) = i 'Almeida, T., Hidalgo, J., Yamakami, A., "Contributions to the Study of SMS Spam Filtering: New Collection and Results," Proceedings of the 2011 ACM Symposium on Document Engineering (DOCENG'11), Association for…

Identifying Spam Text Messages Bayes' rule can be used to identify and filter spam emails and text messages. This question refers to a large collection of real SMS text messages from participating cellphone users. 1In this collection, 747 of the 5574 total messages (13.40 % ) are identified as spam. The word "text" (or "txt") is contained in 7.01 % of all messages, and in 38.55 % of all spam messages. What is the probability that a message is spam, given that it contains the word "text" (or "txt")? Round your answer to three decimal places. P(Spam if Text) = 'Almeida, T., Hidalgo, J., Yamakami, A., "Contributions to the Study of SMS Spam Filtering: New Collection and Results," Proceedings of the 2011 ACM Symposium on Document Engineering (DOCENG'11), Association for Computing Machinery, Mountain View, CA, 2011.