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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

Third Exam
Chi Square Test


Name:
Nature of work: Administrative Assistant II


1. In order, to gather information on anticipated attendees for the seminar that will be held
at the end of this year, the DepEd National Employees Union conducted a survey among
its most recent members. NEU hosted the most recent cluster meeting event at Quezon
City. If the seminar is held in Cebu City, the organizers want to assess how the attendees
would be distributed among them. To assess the attendance rates per region in Luzon
the members are tasked to fill-out google forms and 1,600 of them answered. The data is
showed in Table 1. Assuming in the hypothesis is that the proportion of attendees on each
region are equal at the.05 level of significance test.

Region Number of
participants
Region I 200
Region II 250
Region III 199
Region IV-A 225
MIMAROPA 209
Region 5 182
CAR 151
NCR 184

2. Oas Polytechnic School conducted a survey of students in grades 7 through 10 to assess
their BMI nutritional status according to their weight in order to evaluate the results of the
feeding program facilitated by teachers last month. On the attempt among enrollees to
increase the budget for the feeding program next year. They were asked the same
questions again to assess the program's impact. Table 2 displays the information. At
the.05 level of significance, test the hypothesis to see if there is a relationship between
weight and student age brackets.

Nutritional Status Age
12-13 14-15 16-above
Underweight 72 52 42
Normal 92 82 62
Overweight 98 89 82
Obese 42 52 72

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