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W6 lecture numbers and experimental studies

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Numbers and Experimental Studies In this topic, you will focus on how to statistically compare two groups to see if there is a significant difference between them. Let's use data from a hypothetical situation to examine the use of Microsoft Excel to run an independent t-test. Numbers and Experimental Studies Suppose that you must compare online learning with traditional classroom learning. The subject for both mediums of learning is behavioral modification. You have 29 students who have consented to be part of this study. You start with using a random numbers table to randomly split the students into two groups, the online student (OLS) group and the brick-and-mortar student (BMS) group. The independent variable is the learning situation and, in this case, there are two levels: online student and brick-and-mortar student. Your dependent variable is the final exam grade. The content being taught, the time spent on teaching the content each week, and the test materials at the end of the class are the same for both the groups. After content has been taught, you ask the students to take the final exam. Here are the exam scores for the two groups: PID P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 OLS 73 94 93 87 78 82 89 97 92 82 81 62 89 93 PID P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 P27 P28 P29 BMS 84 65 72 57 63 89 59 64 83 79 83 90 94 91 59 Let’s see how to use Microsoft Excel to determine if there is a difference between grades for the two groups. 1. Reconfig ...
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