Sampling Design for Car Survey Using Stratified Random Sampling

Valeno Glenedias Widodo; Yusep  Suparman; Gumgum  Darmawan

doi:10.55927/modern.v2i5.5872

Authors

Valeno Glenedias Widodo Departemen Statistika FMIPA UNPAD
Yusep Suparman Departemen Statistika FMIPA UNPAD
Gumgum Darmawan Departemen Statistika FMIPA UNPAD

DOI:

https://doi.org/10.55927/modern.v2i5.5872

Keywords:

Time Between Arrivals, Regression, Stratified Sampling

Abstract

Perumda Pasar Juara wants to know the number of cars that enter the Kosambi Market parking area for one month. However, limited access to available data means that Perumda has to count vehicles manually. Therefore, an appropriate sampling design is needed to estimate the number of cars. The data used is the result of observations based on preliminary sampling on October 14-20, 2022 at 08:00-17:00 WIB. The variables of the data used are car arrival time, day dummy, and hour dummy. The method used is dummy regression analysis and stratified sampling design. The regression analysis results show that there are four strata where each stratum has a three-parameter Weibull distribution. Based on the results, the minimum sample size required with a 5% error rate is 116 hours per day and is allocated according to the strata

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