Student's t-test

answering the question, the Paired Sample T Test was used. The result can be seen in the following table 5.1: Table 4.1 The Analysis of the Pre- Activities and Post- Activities in the experimental group by using t- test Paired Sample Statistic Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Post-test of ABT + CLT) 101.73 30 8.034 1.467 Pre-test of ABT + CLT) 89.97 30 7.165 1.308 Paired Samples Correlations N Correlation Sig. Pair 1 Post-test & pretest of ABT + CLT 30 .425 .019

Visual illusions are a phenomena that arise from misperception of the observed object’s properties. Visual illusions allow us to study the difference between the objective reality and our interpretation of the perceived visual stimuli or the way our brains process visual information, in order to develop a general understanding of our visual system (Carrasco, 1986); In spite of the relevance of this issue, general concensus is yet to be reached on the origin of such phenomena One representation is

False Memories are fundamentally, unintended human errors, which results in people having memories of events and situations that did not actually occur. It’s worth noting that in humans there are both true and false memories, these false memories occur when a mental experience is incorrectly taken to be a representation of a past event. For example, when people are asked to describe something that happened at a particular time, people rarely deliver accurate answers. Based on research, in eyewitness

purpose of this study was to test the production of CO2 in Variegated plants compared to non variegated plants using leaves from the plant Aegopodium Podagraria. The hypothesis states that if the leaf is mostly white, then it will have lower rates of photosynthesis than the leaves with more green coloring. CO2 sensors were utilized in order to measure the production of CO2 of the variegated and non variegated leaves. The data, which was calculated by a two sample t test assuming equal variances, backed

examine a data analysis and application for an independent t test comparing the mean GPAs of a sample of male and female students. It will pose a research question that the data will set out to answer. It will provide a null hypothesis and an alternative hypothesis, and will provide an analysis showing why the null hypothesis should be accepted or rejected in favor of the alternative hypothesis. Data File Description For this independent t test, the mean GPAs of 64 females and 41 males were compared

first test to be conducted by our group consists of the prices of residential properties in various locations. The locations are Toronto, San Francisco and Montreal. The values of the samples are all represented in Canadian Dollars. The data taken are based on the residential property prices on January 8th 2012. Our group will execute a test to determine if there is a significant difference in the mean residential property prices for Toronto, San Francisco and Montreal. Furthermore, if the tests

Results: The variables that we examined were the mean proportion of the qualitative categories in 2012 vs. 2015, the Shannon’s diversity index for 2012 vs. 2015 for south plots and that of Aspen plots control vs. treatment. These variables were each represented in one of my graphs. The graph in Figure 1 was a histogram which depicted the mean proportion among all 2015 plots for each designated category. The graph compared the qualitative category of ground cover type with the quantitative discrete

are many views on how to educate children of the 21st century. Today’s education world is focused on student achievement based on standardized test scores. Each year, teachers, districts, and states participate in state testing which shows progress toward a common goal per state, proficiency in academic core content. However, these standardized tests vary from state to state and examined at the national level. Therefore, the level of accuracy cannot be determined as to which states, school districts

Appendix 2: Questionnaire 16 Appendix 3: Sample characteristics 20 Appendix 4: Normality and Homogeneity 24 Appendix 5: Cronbach’s Alpha analysis 25 Appendix 6: Bivariate correlation matrix of constructs 25 Appendix 7: Independent sample t-test

The Blood Sucking Behavior of Hirudo Miguel Soto Professor Folkerts Pepperdine University 23 April 2014   Abstract Hirudo are well known for their blood sucking, fluid feeding behavior. The purpose of this experiment was to get a better understanding of Hirudo’s blood feeding behavior; more specifically, the study was designed to answer the question: how do different volumes of blood affect Hirudo’s thirst? By soaking a sponge with different volumes of cow blood and measuring the time it took for