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INTERPRETASYON
Ang interpretasyon ng mga datos ay ang
proseso ng pagsusuri ng datos na nakalap
sa pamamagitan ng ilang proseso na
makatutulong sa pagbibigay ng kahulugan
sa mga
kaugnay
datos at makarating
na konklusyon.
sa isang
Ito ay
nagsasangkot ng pagkuha sa resulta ng
pagsusuri ng datos.
INTERPRETASYON NG MGA DATOS
METODO NG
INTERPRETASYON NG
MGA DATOS
Ang metodo ng interpretasyon ng mga datos
ay ang paraan kung paano tinutulungan ng mga
analyst ang mga tao na mabigyan ng kahulugan
at maintindihan ang mga numerical na datos na
nakolekta, nasuri at nailahad.
Dalawang Pangunahing Metodo:
1.Qualitative Method
2.Quantitative Method
Qualitative Data Interpretation Method
Ginagamit ang qualitative data interpretation
method sa pagsusuri ng qualitative na datos, na
kilala rin bilang categorical data. Ang metodong
ito ay gumagamit ng mga teksto, sa halip na mga
numero o pattern upang ilarawan ang datos.
Mayroong dalawang uri ng qualitative na datos:
1.Nominal na Datos - kailangan pang i-code
upang maging maayos ang interpretasyon
2.Ordinal na Datos - ay karaniwang may label na
mga numero sa panahon ng proseso ng
pangangalap ng datos, at maaaring hindi
kailanganin ang coding
Quantitative Data Interpretation Method
Ginagamit ang quantitative data interpretation
method sa pagsusuri ng quantitative na datos, na
kilala rin bilang numerical data. Ang uri ng
datos na ito ay naglalaman ng mga numero at,
samakatuwid, ay sinusuri sa paggamit ng mga
numero at hindi mga teksto.
Mayroong dalawang uri ng quantitative na datos:
1.Discrete na Datos
2.Continuous na Datos
Interval Data
Ratio Data
Ang mga istatistikal na pamamaraan na ginagamit sa
pagsusuri ng quantitative na datos ay ang sumusunod:
Mean
“The mean is a numerical average for a set of
data and is calculated by dividing the sum of the
values by the number of values in a dataset. It is
used to get an estimate of a large population from
the dataset obtained from a sample of the
population.”
Ang mga istatistikal na pamamaraan na ginagamit sa
pagsusuri ng quantitative na datos ay ang sumusunod:
Standard Deviation
“This technique is used to measure how well the
responses align with or deviates from the mean. It
describes the degree of consistency within the
responses; together with the mean, it provides
insight into data sets.”
Ang mga istatistikal na pamamaraan na ginagamit sa
pagsusuri ng quantitative na datos ay ang sumusunod:
Frequency Distribution
“This technique is used to assess the
demography of the respondents or the number of times
a particular response appears in research. It is
extremely keen on determining the degree of
intersection between data points.”
Mga Bentahe ng Interpretasyon ng mga Datos:
Nakatutulong sa paggawa ng matalinong desisyon
at hindi lamang nakabase sa mga hula.
Ito ay cost-efficient
Ang mga insights na nakuha ay maaaring gamitin
upang itakda at tukuyin ang mga trends sa
datos.

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INTERPRETASYON.pptx

  • 2. Ang interpretasyon ng mga datos ay ang proseso ng pagsusuri ng datos na nakalap sa pamamagitan ng ilang proseso na makatutulong sa pagbibigay ng kahulugan sa mga kaugnay datos at makarating na konklusyon. sa isang Ito ay nagsasangkot ng pagkuha sa resulta ng pagsusuri ng datos. INTERPRETASYON NG MGA DATOS
  • 4. Ang metodo ng interpretasyon ng mga datos ay ang paraan kung paano tinutulungan ng mga analyst ang mga tao na mabigyan ng kahulugan at maintindihan ang mga numerical na datos na nakolekta, nasuri at nailahad. Dalawang Pangunahing Metodo: 1.Qualitative Method 2.Quantitative Method
  • 5. Qualitative Data Interpretation Method Ginagamit ang qualitative data interpretation method sa pagsusuri ng qualitative na datos, na kilala rin bilang categorical data. Ang metodong ito ay gumagamit ng mga teksto, sa halip na mga numero o pattern upang ilarawan ang datos.
  • 6. Mayroong dalawang uri ng qualitative na datos: 1.Nominal na Datos - kailangan pang i-code upang maging maayos ang interpretasyon 2.Ordinal na Datos - ay karaniwang may label na mga numero sa panahon ng proseso ng pangangalap ng datos, at maaaring hindi kailanganin ang coding
  • 7. Quantitative Data Interpretation Method Ginagamit ang quantitative data interpretation method sa pagsusuri ng quantitative na datos, na kilala rin bilang numerical data. Ang uri ng datos na ito ay naglalaman ng mga numero at, samakatuwid, ay sinusuri sa paggamit ng mga numero at hindi mga teksto.
  • 8. Mayroong dalawang uri ng quantitative na datos: 1.Discrete na Datos 2.Continuous na Datos Interval Data Ratio Data
  • 9. Ang mga istatistikal na pamamaraan na ginagamit sa pagsusuri ng quantitative na datos ay ang sumusunod: Mean “The mean is a numerical average for a set of data and is calculated by dividing the sum of the values by the number of values in a dataset. It is used to get an estimate of a large population from the dataset obtained from a sample of the population.”
  • 10. Ang mga istatistikal na pamamaraan na ginagamit sa pagsusuri ng quantitative na datos ay ang sumusunod: Standard Deviation “This technique is used to measure how well the responses align with or deviates from the mean. It describes the degree of consistency within the responses; together with the mean, it provides insight into data sets.”
  • 11. Ang mga istatistikal na pamamaraan na ginagamit sa pagsusuri ng quantitative na datos ay ang sumusunod: Frequency Distribution “This technique is used to assess the demography of the respondents or the number of times a particular response appears in research. It is extremely keen on determining the degree of intersection between data points.”
  • 12. Mga Bentahe ng Interpretasyon ng mga Datos: Nakatutulong sa paggawa ng matalinong desisyon at hindi lamang nakabase sa mga hula. Ito ay cost-efficient Ang mga insights na nakuha ay maaaring gamitin upang itakda at tukuyin ang mga trends sa datos.