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Important Questions: Use of Statistical Tools | Economics Class 11 - Commerce PDF Download
Q1: Name the items variables included in the demographic structure.
Ans: The variables included in the demographic structure are:
- Population Size: The total number of individuals in a specific area.
- Density: The number of people per unit of area, usually per square kilometer or square mile.
- Age Structure: The distribution of the population across various age groups.
- Birth Rate: The number of live births per thousand people in a specific time period.
- Death Rate: The number of deaths per thousand people in a specific time period.
Q2: Name five statistical methods that are used in developing a project.
Ans: The five statistical methods used in developing a project are as follows:
- Data Collection: Gathering relevant information for analysis.
- Data Classification: Organizing collected data into categories or groups.
- Data Presentation: Displaying data in a comprehensible format, such as tables or charts.
- Data Analysis: Applying statistical techniques to derive meaningful insights from the data.
- Data Interpretation: Making sense of the analyzed data, drawing conclusions, and making recommendations based on the findings.
Q3: What are the steps to prepare a project report on consumer awareness?
Ans: The steps to prepare a project report on consumer awareness are as follows:
- Designing a Questionnaire: Creating a structured set of questions to gather relevant consumer information.
- Framing a Sample: Selecting a representative group of consumers for data collection.
- Collecting Data: Gathering responses from the selected sample.
- Classifying Data: Organizing collected data into categories for analysis.
- Presenting Data: Representing data visually, often using graphs or tables.
- Analyzing Data: Applying statistical methods to examine patterns and trends in the data.
- Interpreting Data: Drawing conclusions and insights based on the data analysis.
Q4: What do you mean by demographics?
Ans: Demographics refers to the statistical study of the characteristics of a human population. This includes factors such as population size, growth rate, age distribution, density, and vital statistics like birth and death rates. Demographics provide essential insights into the composition and trends within a specific population.
Q5: Explain demographic structure.
Ans: Demographic structure describes the composition of a population in terms of age, gender, ethnicity, and other factors. It highlights the distribution of individuals across different age groups and often includes information about birth rates, death rates, and migration patterns. Understanding demographic structure is crucial for social and economic planning.
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| 1. What are some commonly used statistical tools? |  |
Ans. Some commonly used statistical tools include regression analysis, t-tests, analysis of variance (ANOVA), chi-square tests, and correlation analysis. These tools help researchers and analysts to analyze data and make informed decisions based on statistical evidence.
| 2. How can regression analysis be used as a statistical tool? | |
Ans. Regression analysis is a statistical tool used to examine the relationship between a dependent variable and one or more independent variables. It helps in understanding how changes in the independent variables affect the dependent variable. Regression analysis can be used to predict outcomes, identify trends, and assess the significance of variables in a model.
| 3. What is the purpose of t-tests in statistical analysis? | |
Ans. T-tests are commonly used in statistical analysis to compare the means of two groups and determine if there is a significant difference between them. They help researchers determine whether the observed difference between the groups is due to chance or represents a real difference in the population. T-tests are often used in hypothesis testing and can be used with both small and large sample sizes.
| 4. How does analysis of variance (ANOVA) help in statistical analysis? | |
Ans. Analysis of variance (ANOVA) is a statistical tool used to compare the means of three or more groups. It helps in determining whether there are any statistically significant differences between the means of these groups. ANOVA provides valuable insights into the variation within and between groups, allowing researchers to make conclusions about the population from which the samples are drawn.
| 5. Why is correlation analysis important in statistical analysis? | |
Ans. Correlation analysis is used to measure the strength and direction of the relationship between two variables. It helps in understanding the degree to which changes in one variable are associated with changes in another variable. Correlation analysis is important in statistical analysis as it helps identify patterns, dependencies, and potential cause-and-effect relationships between variables, providing valuable insights for decision-making and further analysis.
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