College athletes, especially males, are often perceived as having very little interest in the academic side of their college experience. One common problem is class attendance. To address the problem of class attendance, a group of researchers developed and demonstrated a relatively simple but effective intervention (Bicard, Lott, Mills, Bicard, & Baylot-Cascy, 2012). The researchers asked each athlete in to text his academic counselor “in class” as soon as he arrived at the classroom. The researchers found significantly better attendance after the students began texting. In a similar study, a researcher monitored class attendance for a sample of n – 16 male athletes during the first three weeks of the semester and recorded the number of minutes that each student was lair to class. The athletes were then asked to begin texting their arrival at the classroom and the researcher continued to monitor attendance for another three weeks. For each athlete, the average lateness for the first three weeks and for the second three weeks were calculated, and the difference score was recorded. The data showed that lateness to class decreased by an average of MD – 21 minutes with SS = 2,940 when the students were texting.
a. Use a two-tailed test with α = .01 to determine whether texting produced a significant change in attendance.
b. Compute a 95% confidence
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Chapter 11 Solutions
EBK APLIA FOR GRAVETTER/WALLNAU/FORZANO
- College athletes, especially males, are often perceived as having very little interest in the academic side of their college experience. One common problem is class attendance. To address the problem of class attendance, a group of researchers developed and demonstrated a relatively simple but effective intervention (Bicard, Lott, Mills, Bicard, & Baylot-Casey, 2012). The researchers asked each athlete to text his academic counselor “in class” as soon as he arrived at the classroom. The researchers found significantly better attendance after the students began texting. In a similar study, a researcher monitored class attendance for a sample of n = 16 male athletes during the first three weeks of the semester and recorded the number of minutes that each student was late to class. The athletes were then asked to begin texting their arrival at the classroom and the researcher continued to monitor attendance for another three weeks. For each athlete, the average lateness for the first…arrow_forwardIn a classic study, Shrauger (1972) examined the effect of an audience on performance for two groups of participants: high self-esteem and low self-esteem individuals. The participants in the study were given a problem-solving task with half of the individuals in each group working alone and a half working with an audience. Performance on the problem-solving task was measured for each individual. The results showed that the presence of an audience had little effect on high self-esteem participants but significantly lowered the performance for the low self-esteem participants. a. How many factors does this study have? What are they? b. Describe this study using the notation system that indicates factors and numbers of levels of each factor.arrow_forwardBelow is data from a study examining the effects of two different psychotherapy treatments on self-esteem. Specifically, two different treatment types (treat1 and treat2) were compared to a waiting list control group in terms of increasing self-esteem; the main question concerned whether each separate therapy type was different from no treatment at all. The values shown below are the self-esteem scores for the participants in each group (higher values indicate greater self-esteem). a. What inferential test did you use? b. Using an alpha level of .05, determine whether there were any mean differences between the groups of interest?arrow_forward
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- Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. Low High Moderate Moderately Moderate Severe Severe 3.1 1.3 5.1 3.5 2.3 3.3 3.6 2.9 2.7 2.9 1.8 4.2 3 4 4.2 2 3.9 3.9 4.7 2.1 0.5 2.5 2.2 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: What is your final conclusion? Use a significance level of a = 0.02. O There is not enough evidence to determine a difference between the treatments. O There is…arrow_forwardRecently airlines have cut services, such as meals and snacks during flights, and started charging extra for some services, such as accommodating overweight luggage, last-minute flight changes, and pets traveling in the cabin. However, they are still concerned about service. Recently, a group of four carriers hired Brunner Marketing Research Inc. to survey passengers regarding their level of satisfaction with a recent flight. The survey included questions on ticketing, boarding, in-flight service, baggage handling, pilot communication, and so forth. Twenty-five questions offered a range of possible answers: excellent, good, fair, or poor. A response of excellent was given a score of 4, good a 3, fair a 2, and poor a 1. These responses were then totaled, so the total score was an indication of the satisfaction with the flight. The greater the score, the higher the level of satisfaction with the service. The highest possible score was 100. Brunner randomly selected and surveyed…arrow_forwardMost air travelers now use e-tickets. Electronic ticketing allows passengers to not worry about a paper ticket, and it costs the airline companies less to handle than paper ticketing. However, in recent times the airlines have received complaints from passengers regarding their e-tickets, particularly when connecting flights and a change of airlines were involved. To investigate the problem, an independent watchdog agency contacted a random sample of 20 airports and collected information on the number of complaints the airport had with e-tickets for the month of March. At the .05 significance level, can the watchdog agency conclude the mean number of complaints per airport is less than 15 per month? What assumption is necessary before conducting a test of hypothesis? Is it reasonable to conclude that the population follows a normal distribution? Conduct a test of hypothesis and interpret the results. The information is reported below: 14 12 14 15 16 5 15 12 14 12 13 14 12 13 13 12 16…arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
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