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Answer: Descriptive statistics is used to summarize and describe the main features of data, such as measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation).

Answer: A bar chart represents data using rectangular bars of different heights, while a pie chart represents data as a circle divided into sectors, with each sector representing a different category or proportion.

Answer: The steps in hypothesis testing include stating the null and alternative hypotheses, selecting a significance level, collecting data, calculating a test statistic, determining the p-value, and making a conclusion based on the results.

Answer: Regression is a statistical technique used to model the relationship between a dependent variable and one or more independent variables. It helps in predicting and understanding the relationship between variables.

Answer: SPSS (Statistical Package for the Social Sciences) is a software package used for statistical analysis. It provides a user-friendly interface and a wide range of statistical procedures and data manipulation tools, making it useful for tasks such as data cleaning, exploration e.t.c.

Answer: Sampling techniques are essential in statistics as they allow researchers to gather data from a subset of a larger population. By using appropriate sampling methods, researchers can make inferences and draw conclusions about the entire population based on the collected sample.

Answer: Parametric tests assume specific characteristics about the data distribution, such as normality and homogeneity of variance, and are used when these assumptions are met. Non-parametric tests, on the other hand, do not rely on such parametric assumptions used for data.

Answer: Survival analysis is a statistical method used to analyze time-to-event data, such as time to death or time to failure. It helps researchers understand the factors influencing the probability of an event occurring and estimate survival probabilities over time.

Answer: Index numbers are used to measure changes in a variable or a group of variables over time. They provide a way to compare values relative to a base period, making it easier to track changes in variables such as prices, production levels, or economic indicators.

Answer: Correlation measures the strength and direction of the linear relationship between two variables. It ranges from -1 to +1, where -1 indicates a perfect negative relationship, +1 indicates a perfect positive relationship, and 0 indicates no relationship between the variables.