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Statistics

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Statistical treatments are techniques utilized to analyze and interpret data. Some of the most commonly used statistical treatments include t-tests, ANOVA, chi-square, and regression analysis. T-tests determine if two sets of data means are significantly different, while ANOVA analyzes differences between three or more groups. Chi-square determines significant associations between two categorical variables, while regression analysis determines the relationship between a dependent variable and one or more independent variables. These treatments are vital in helping researchers and analysts draw conclusions from their data.

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STATISTICAL METHODS

Second Exam
One-Way Analysis of Variance

Problem 1. EQUAL REPLICATIONS

At the beginning of the school year, Anislag National High School teachers were asked to conduct Regional Diagnostic
Assessment to plan for class intervention. The teachers administer to students a 60 item test. After the research, the
Administrative Assistant is tasked to consolidate the average scores of the assessment of Elementary and Junior High School grade
level for compliance to the Division Office. The data are presented in Table 1. In order to test the hypothesis if there is no
significant difference in the meantime of student’s average scores among the Elementary and Junior High School grade level.
Assume the populations to be approximately normal and have equal variance.

Table 1. The average scores of Elementary and Junior High School students on their Regional Diagnostic Assessment as
affected by different grade level
GRADE LEVEL SCORES
1 2 3 4 5
Grade 1 55 50 48 43 60
Grade 2 56 51 42 41 45
Grade 3 58 45 60 42 47
Grade 4 45 60 60 52 48
Grade 5 48 60 60 60 50
Grade 6 60 52 58 40 60
Grade 7 60 50 55 52 58
Grade 8 59 55 50 57 60
Grade 9 55 57 51 60 55
Grade 10 60 58 53 60 59

Problem 2. UNEQUAL REPLICATIONS

At the beginning of the school year, Anislag National High School teachers were asked to conduct Regional Diagnostic
Assessment to plan for class intervention. The teachers administer to students a 60 item test. After the research, the
Administrative Assistant is tasked to consolidate the average scores of the assessment of Elementary and Junior High School grade
level for compliance to the Division Office. The obtained average scores of students were not completed due to delays caused by
the Covid-19 pandemic. The data are presented in Table 1. In order to test the hypothesis if there is no significant difference in the
meantime of student’s average scores among the Elementary and Junior High School grade level. Assume the populations to be
approximately normal and have equal variances.

Table 1. The average scores of Elementary and Junior High School students on their Regional Diagnostic Assessment as
affected by different grade level
GRADE LEVEL SCORES
1 2 3 4 5
Grade 1 55 50 48 43 60
Grade 2 56 51 42 41
Grade 3 58 45 60 42 47
Grade 4 45 60 60 52
Grade 5 48 60 60 60
Grade 6 60 52 58 40 60
Grade 7 60 50 55
Grade 8 59 55 50 57 60
Grade 9 55 57 51 60
Grade 10 60 58 53 60 59

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