Real-life data often contain mixtur

Real-life data often contain mixtures of different types of data, which makes the choice of analysis technique somewhat arbitrary. It is quite possible that two statisticians confronted with the same data set may select different methods of data analysis, depending upon what assumptions they are willing to take into account while interpreting the results of analysis. Suppose, there is one dependent variable measured on the interval scale, and five independent variables, of which three are interval-scaled variables, one nominal variable and one ordinal variable with five modalities. In such a situation, some statisticians would use multiple regression analysis, treating one ordinal variable as interval-scale variable and use dummy variables for the nominal variable. Some statisticians may categorize all the interval scale variables and perform an analysis of variance.

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ข้อมูลในชีวิตจริงมักจะมีส่วนผสมของประเภทที่แตกต่างกันของข้อมูลซึ่งจะทำให้ทางเลือกของการใช้เทคนิคการวิเคราะห์ตามอำเภอใจ มันค่อนข้างเป็นไปได้ว่าทั้งสองเผชิญหน้ากับสถิติข้อมูลชุดเดียวกันอาจเลือกวิธีการที่แตกต่างกันของการวิเคราะห์ข้อมูลขึ้นอยู่กับสมมติฐานอะไรพวกเขายินดีที่จะต้องคำนึงถึงในขณะที่การตีความผลการวิเคราะห์ สมมติว่ามีหนึ่งตัวแปรตามวัดในระดับช่วงห้าและตัวแปรอิสระที่สามเป็นตัวแปรช่วงปรับตัวแปรน้อยหนึ่งและเป็นหนึ่งในตัวแปรลำดับห้ารังสี ในสถานการณ์เช่นนี้สถิติบางคนจะใช้การวิเคราะห์การถดถอยหลายตัวแปรรักษาลำดับหนึ่งเป็นตัวแปรช่วงขนาดและใช้ตัวแปรหุ่นสำหรับตัวแปรที่ระบุ บางคนอาจสถิติหมวดหมู่ทั้งหมดตัวแปรขนาดช่วงเวลาและดำเนินการวิเคราะห์ความแปรปรวน

ผลลัพธ์ (อังกฤษ) 1:

Real-life data often contain mixtures of different types of data, which makes the choice of analysis technique somewhat arbitrary. It is quite possible that two statisticians confronted with the same data set may select different methods of data analysis, depending upon what assumptions they are willing to take into account while interpreting the results of analysis. Suppose, there is one dependent variable measured on the interval scale, and five independent variables, of which three are interval-scaled variables, one nominal variable and one ordinal variable with five modalities. In such a situation, some statisticians would use multiple regression analysis, treating one ordinal variable as interval-scale variable and use dummy variables for the nominal variable. Some statisticians may categorize all the interval scale variables and perform an analysis of variance.----Real-life data often contain a mixture of different types of data, which will make the choice of the arbitrary use of analytical techniques. It is quite possible that the two faced the same set of statistics may choose different methods of analyzing the data, depending on what assumptions they were willing to consider while interpreting the results of the analysis. Assuming that there is one of the variables measured in the range of five levels and a third independent variable is the variable range, adjust one or more variables and one variable sequence of five rays. In this situation, some people will use statistical regression analysis of several variables, one treatment is variable and use the variable for the specified variable dummy. Some people may all category statistics variable size over time and perform the analysis of variance.

ผลลัพธ์ (อังกฤษ) 3:

Real-life data often contain mixtures of different types of data which makes, the choice of analysis technique somewhat. Arbitrary. It is quite possible that two statisticians confronted with the same data set may select different methods of. Data analysis depending upon, what assumptions they are willing to take into account while interpreting the results of, analysis. Suppose there is, one dependent variable measured on the interval scale and five, independent variables of which, three. Are interval-scaled variables one nominal, variable and one ordinal variable with five modalities. In such, a situation. Some statisticians would use multiple regression analysis treating one, ordinal variable as interval-scale variable and. Use dummy variables for the nominal variable. Some statisticians may categorize all the interval scale variables and perform. An analysis of variance.----.The data in real life, usually a mixture of different types of data, which will make the choice of analysis technique on a whim. It is quite possible that both face the same data set statistics may choose different methods of data analysis based on the hypothesis of what they are willing to consider while interpretation and analysis. Assuming there is one dependent variable measured at the level of five and a third variable independent variable adjusting แปรน้อย one, and is one of the five variables sequence of radiation. In this situation, some people will use statistical regression analysis of multiple variables influence the treatment order one size and use of dummy variables for the variables identified. Some statistical category all variable size interval and the analysis of variance.