TY - JOUR
AU - Nurpeisova Ardak,
AU - Niyazbekova Shakizada,
AU - Dagmirzaev Omirbek,
AU - Dzholdosheva Tamara,
AU - Kolesnikova Elena,
AU - Mandrazhi Zarema,
AU - Maisigova Leila A.,
AU - Kurmankulova Roza Zhumagasievna,
PY - 2020/08/14
Y2 - 2024/06/13
TI - STATISTICAL ANALYSIS OF VARIABILITY OF DATA OF THE AGRARIAN SECTOR OF KAZAKHSTAN ECONOMY
JF - Научный журнал «Вестник НАН РК»
JA - ВНР
VL -
IS - 4
SE - Статьи
DO -
UR - https://journals.nauka-nanrk.kz/bulletin-science/article/view/597
SP - 165-172
AB - <p>The article studies the variability of a data group formed from indicators of the agricultural sector of<br>the economy of Kazakhstan, using one of the methods of reducing dimensionality as a factor analysis. The data of<br>1993–2018, i.e. for 26 years. The analysis included: a) indicators of GDP - the agrarian sector of the economy as a<br>whole and by crop and livestock industries; b) indicators of productivity and gross harvest by type of crop. Statistical<br>processing of the source data was performed using the STATISTICA_10 software package. The results of statistical<br>processing of primary data - GDP indicators: a) fluctuations in GDP data, estimated by the coefficient of variation,<br>were in the range of 65-67%; b) according to the values of pair correlation coefficients (0,97 ... 0,99), it can be<br>argued that the considered GDP indicators are interdependent variables with a close correlation. It was found that<br>almost 90% of the variance of the variables, estimated by their total dispersion, is a consequence of the influence of<br>the three identified factors. The first factor explaining the variability of the main part of the variables, in our opinion,<br>can be taken as the «specific gravity» of the influence of natural and climatic conditions. Close correlation<br>relationships have been established (correlation coefficients from -0,72 to -0,96) between the first factor and all<br>variables of the «productivity» group. The influence of the first factor is also noticeable in relation to GDP<br>indicators, this can be judged by the values of the correlation coefficients: -0,85; -0,85; -0,85. Other identified factors<br>show the level of influence of other objective reasons that are not yet amenable to logical explanation.</p>
ER -