statistical analysis of secondary schoolstudents health examination results

Computer ProjeMAS291 - Statistics and PrTopic: Statistical analysis ostudents'''' health examin... By anmetrics such as weight, height, we sehealth profile of students and identify a... The

Computer Proje

MAS291 - Statistics and Pr

Topic: Statistical analysis o

students' health examin

Ng y

Pham Anh Duc

Le Nam CuongNguyen Thanh Th

Do Trung Hieu

I Introduction

The health and well-being of seconare of paramount importance in endevelopment and academic success results provide valuable insights into thhealth status of students, helping eprofessionals, and policymakers improvement and implement targeted in

1 State the problem

2 State the problem

In this study, we aim to condustatistical analysis of health examinatfrom secondary school students By anmetrics such as weight, height, we sehealth profile of students and identify a

that may exist.

The statistical analysis will involve

a representative sample of secondafollowed by descriptive statistics to suminferential statistics to make inferencestudent population We will explore faage, socioeconomic status, and lifestytheir potential impact on students' healt

3.Reasons for choosing learned

The topic provides opportunities fdevelop and enhance their statistical thpractical problem-solving scenarios

II Data source

1 Information about the

Applying the knowledge acquired, p

of probability and statistics, we aiminformation to users and contribute taddressing important and widely concer

2 Data source link

Ha Noi Department of Natural ResLink: http://sotnmt.hanoi.gov.vn/

3 Collected data

Surveying the concentration of su

Hanoi during the first three monthand 2023

III Descriptive Statistics

1 Computed data

2 Statistical analysis

Mean:

Also known as the average, ofnumbers is calculated by divobserved values by the number

The mean, being influenced bythe most sensitive measure observed values.

The average height and wei152.485cm and 48.175kg

Sample Variance:

Variance of a dataset is represents the degree of dispoints around their mean

The variance is used to measuset of observed values around Variance of height and weig52.8788kg

Standard Deviation

The standard deviation is alsodispersion of data around its mThe standard deviation is equathe variance

Surveying the variance often yusing the standard deviationinterpret as the results closoriginal data

Standard deviation of height anand 7.2718kg

Maximum, Minimum

To display the largest andvariables or data ranges

Height’s maximum is 170cm anHeight’s minimum is 125cm an

IV The different types and statistics problems

1 Sampling Distributions a

of Paramaters

Sampling 50 students from G

Sampling 50 students from G

1.1 Point estimate

1.2 Confidence interval

Case 1: confidence interva

<Variance unknown>

Case 2: confidence interv mean and proportion < Varian

2 Hypothesis testing proportions.

Sampling 30 students from Grade

Case 1: Test hypothesis for

Test: Mean of height sample A is with significant level 0.05

Note: Test hypothesis for mean, Variance

Test: proportion of height sample A 80%, with significant level 0.05

Note: Test hypothesis for proportion, Varia

Case 2: Test hypothesis for

Test: Mean of height sample A low with significant level 0.05

Note: Test hypothesis for difference of mean

t-Test: Two-Sample Assuming E

Test: Propotion of height <= sample B, with significant level 0.

Note: Test hypothesis for difference of propo

3 Regression correlation

Test for significance of regress

critical value: = 1.960

Conclusion:

|test statisitic| > crit