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Join date: May 14, 2022

## Entering Data In Spss 19 Serial Number SECTION 7: ANALYZING THE DATA 37 37 2.2 DESCRIBING THE DATA. 1.12 A FINAL WORD 40 CHAPTER 2 2.3 DESCRIPTIVE ANALYSIS. 1.2 Analysing the Caffeine data. 2.2 Describing the data using descriptive statistics. Analysis of Variance (ANOVA) is a statistical tool to find out the significance of the main factor. The size of the sample is. 2.4 ANALYSIS OF VARIANCE. The data are divided into 3 groups, there are 4 females and 2 males in each group, and the scores of different students are given in the Table. The sample was balanced to have a sample size of 40. 1.23 Analysing the Caffeine data. 38 INTRODUCTION 38 2.3 DESCRIBING THE DATA. 45 2.4 ANALYSIS OF VARIANCE... 2.1 Getting started with SPSS Statistics 19 46 INTRODUCTION. 2.5 Analysis of Variance.. The analysis of variance (ANOVA) test will be used to find out which one of the groups had the best performance. The independent variable is gender. Mean and Standard Deviation: Age groups have been formed as follows: younger adults 18 to 30 years, middle-aged adults 31 to 50 years, older adults 51 years and above. 2.3 Describing the data using descriptive statistics. 47 DESCRIPTIVE ANALYSIS 47 2.5 Analysis of Variance (ANOVA).. 43 39  Descriptive statistics:. 48 INTRODUCTION 48 2.3 DESCRIBING THE DATA. The dependent variable was the number of correct words recalled. 1.2 Analysing the Caffeine data. 3 ANOVA: Type of tea and gender of the subject. Mean: 10.5. The sample was balanced to have a sample size of 40.. 2.2 Descriptive statistics. Mean: 11.7 3.2 ANOVA: Type of tea and gender of the subject. 1.23 Analysing the Caffeine data. 44 . there are 5 participants of each gender in each group. It has been noted that the participants were fairly homogenous in their performance in the two groups of tea: green

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