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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

Fourth Exam
Linear Regression Analysis


Name:
Nature of work: Administrative Assistant II



1. Oas Polytechnic School conducted a survey among teachers and non-teaching personnel who
undergo the annual physical check-up. The data was collected by the staff for the purpose of the
annual health report monitoring to be submitted to the Division Office. The Division Office aimed
to focus on certain test that will be used for research purposes and re-assure personnel health
benefits for them. The table given information on ages and cholesterol levels for a random sample
of _____ with a level of significance 5% confidence level for 𝛽

Age (x) 58 69 43 39 63 52 47 31 74 36
Cholesterol 189 235 193 177 154 191 213 165 198 181
level

2. A random sample of _____ retiring teachers insured by GSIS and having similar insurance
premiums are inquiring for their benefits and claims. The following table lists their years of
experience and monthly insurance premiums based on the basic salary.


Years of Monthly
Experience Insurance
Premium
5
1,709.82
2
3,839.58
12
2,407.86
9
2,086.29
15
1,725.30
6
2,008.44
25
2,407.86
16
2,204.55

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