MPC-006

The sign test

The sign test is a non-parametric statistical test used to evaluate the median difference between paired observations or a sample median. It is particularly useful when the assumptions of parametric tests (like normality) are violated. The test only considers the direction of change (positive or negative), not the magnitude, making it simple and robust for […]

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Compute Chi-square for the following data: Job Position and Work Motivation Scores

Compute Chi-Square for Job Position and Work Motivation Scores Introduction The Chi-square (χ²) test is a non-parametric statistical method used to test the relationship between two categorical variables. It compares the observed frequencies in a contingency table with the expected frequencies that would occur if there were no relationship between the variables. In this question,

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Describe point-biserial correlation and phi coefficient.

Describe Point-Biserial Correlation and Phi Coefficient Introduction Correlation is a measure of the relationship between two variables. In psychological research, when dealing with specific types of variables—particularly dichotomous ones (variables that take only two values)—special correlation methods are used. Two such techniques are the point-biserial correlation and the phi coefficient. These are valuable tools when

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With the help of t test find if significant difference exists between the scores obtained on achievement motivation scale by male and female students.

Using t-Test to Find Significant Difference in Achievement Motivation Scores Between Male and Female Students Introduction The t-test is a widely used parametric test in statistics for comparing the means of two independent groups. In psychology, it helps determine whether the differences in test scores, behaviors, or psychological traits between groups are statistically significant or

With the help of t test find if significant difference exists between the scores obtained on achievement motivation scale by male and female students. Read More »

Using Pearson’s product moment correlation for the following data: Data 1 24 23 26 25 25 21 25 26 25 26 | Data 2 12 15 22 13 14 11 16 10 19 20

Using Pearson’s Product Moment Correlation for the Given Data Introduction Pearson’s product-moment correlation coefficient (r) is a statistical tool used to measure the strength and direction of the linear relationship between two continuous variables. In psychology and social sciences, it is often used to determine how closely two variables are related, such as test scores

Using Pearson’s product moment correlation for the following data: Data 1 24 23 26 25 25 21 25 26 25 26 | Data 2 12 15 22 13 14 11 16 10 19 20 Read More »

Explain scales of measurement and discuss assumption of parametric statistics.

Explain Scales of Measurement and Discuss Assumption of Parametric Statistics Introduction In psychological research and statistics, how data is measured determines the type of analysis that can be conducted. The concept of scales of measurement is foundational in selecting appropriate statistical techniques. Furthermore, parametric statistical methods, which are widely used in psychology, rest on certain

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Discuss divergence in normality with the help of suitable diagram and describe the factors causing divergence in the normal distribution. Discuss how divergence in normality is measured.

Divergence in Normality: Meaning, Diagrams, Causes, and Measurement Introduction In the field of statistics, particularly in psychological research, the concept of normal distribution holds significant importance. Many statistical methods, including parametric tests, assume that the data follows a normal distribution. However, in real-world data, this assumption is not always met. When data deviates from the

Discuss divergence in normality with the help of suitable diagram and describe the factors causing divergence in the normal distribution. Discuss how divergence in normality is measured. Read More »

Compute ANOVA (parametric statistics) for the following data: that indicates the scores obtained by three group on employees on emotional intelligence scale:

Compute ANOVA (Parametric Statistics) for the Given Data on Emotional Intelligence Introduction Analysis of Variance (ANOVA) is a powerful statistical technique used to determine whether there are any statistically significant differences between the means of three or more independent groups. In this case, we are given emotional intelligence scores of employees categorized into three groups:

Compute ANOVA (parametric statistics) for the following data: that indicates the scores obtained by three group on employees on emotional intelligence scale: Read More »

Explain the meaning of descriptive statistics and describe organization of data.

Explain the Meaning of Descriptive Statistics and Describe Organization of Data Introduction Statistics plays a crucial role in the field of psychology by helping researchers and professionals make sense of data. Descriptive statistics, in particular, are foundational tools used to summarize, organize, and interpret raw data in a meaningful way. Without statistical analysis, it would

Explain the meaning of descriptive statistics and describe organization of data. Read More »

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