Statistical theory

1. Statistical theory is a branch of mathematics that deals with the analysis, interpretation, and presentation of data. It involves various techniques and methods for summarizing and making inferences about a population based on sample data. Key concepts in statistical theory include probability distributions, hypothesis testing, regression analysis, and more. The goal of statistical theory is to provide a framework for understanding uncertainty and variability in data, enabling us to draw meaningful conclusions and make informed decisions in various fields such as science, business, and social sciences.

What is the purpose of hypothesis testing in statistics?

A) To summarize data using summary statistics.
B) To determine if there is enough evidence to reject a null hypothesis.
C) To visualize data using graphs.
D) To calculate the probability of an event.

2. What is the Central Limit Theorem?

A) A type of statistical hypothesis testing.
B) A method for outlier detection in data.
C) States that the sampling distribution of the sample means approaches a normal distribution as the sample size increases.
D) Describes the spread of data points in a dataset.

3. What is a Type I error in hypothesis testing?

A) When the null hypothesis is not rejected, but it is false.
B) When the null hypothesis is rejected, but it is actually true.
C) A type of data transformation.
D) A calculation error in statistical analysis.

4. What is a Type II error in hypothesis testing?

A) A statistical measure of association.
B) When the null hypothesis is rejected, and it is true.
C) A type of sampling technique.
D) When the null hypothesis is not rejected, but it is actually false.

5. What is correlation in statistics?

A) The probability of an event occurring.
B) A measure of the strength and direction of a linear relationship between two variables.
C) The difference between the maximum and minimum values in a dataset.
D) A type of data visualization technique.

6. What is regression analysis used for in statistics?

A) To determine the mode of a distribution.
B) To calculate the median value of a dataset.
C) To analyze the relationship between a dependent variable and one or more independent variables.
D) To summarize data using descriptive statistics.

7. What is the formula for variance in statistics?

A) The middle value in a set of ordered data points.
B) The range of values in a dataset.
C) The sum of all data values divided by the number of values.
D) The average of the squared differences from the mean.

8. Which of the following is a measure of central tendency?

A) Variance
B) Standard Deviation
C) Correlation Coefficient
D) Mean

9. What is the mode of a dataset?

A) The difference between the maximum and minimum values.
B) The middle value in a sorted dataset.
C) The average of all values in the dataset.
D) The value that appears most frequently in the dataset.

10. What is the range of a dataset?

A) The difference between the maximum and minimum values in the dataset.
B) The average of all values in the dataset.
C) The number of values in the dataset.
D) The sum of all values in the dataset.

11. What is a percentile in statistics?

A) The average of all data points in a dataset.
B) The variance of a dataset.
C) The range of values in a dataset.
D) A value below which a given percentage of observations in a group falls.

12. Which of the following is a non-parametric statistical test?

A) Regression analysis
B) T-test
C) Mann-Whitney U test
D) ANOVA

13. What is the null hypothesis in hypothesis testing?

A) A measure of the strength of a relationship.
B) A statement that a significant difference exists between variables.
C) A statement that there is no significant difference or relationship between variables.
D) A conclusion drawn from statistical analysis.

14. Which statistical test is used to compare the means of more than two groups?

A) ANOVA
B) Regression analysis
C) t-test
D) Chi-square test

15. Which statistical test is used to determine if there is a significant difference between the means of two groups?

A) T-test
B) Chi-square test
C) Regression analysis
D) ANOVA

16. What does skewness measure in a dataset?

A) The degree of asymmetry in the distribution of data.
B) The relationship between two variables.
C) The presence of outliers in the dataset.
D) The spread of data points from the mean.

17. What is a chi-square test used for in statistics?

A) To find the median value of a dataset.
B) To determine if there is a significant association between two categorical variables.
C) To analyze the relationship between a dependent and an independent variable.
D) To calculate the correlation coefficient.

18. What is statistical power in hypothesis testing?

A) The significance level for hypothesis testing.
B) The confidence interval for a parameter estimate.
C) The strength of the relationship between variables.
D) The probability of rejecting a false null hypothesis.

19. Which type of bias occurs when some groups in a population are systematically left out of a study?

A) Response bias
B) Measurement bias
C) Sampling bias
D) Selection bias

20. What is a box plot used for in statistics?

A) To test for correlations between variables.
B) To calculate the average value of a dataset.
C) To visualize the distribution of a dataset and identify outliers.
D) To calculate confidence intervals.

21. In a normal distribution, what percentage of data points fall within one standard deviation of the mean?

A) 99.7%
B) 50%
C) 68%
D) 95%

22. Which distribution is used to model the number of successes in a fixed number of Bernoulli trials?

A) Normal
B) Binomial
C) Poisson
D) Exponential

23. What term is used to describe the measure of the spread of values in a dataset?

A) Mode
B) Mean
C) Median
D) Variance

24. What is the standard deviation?

A) The maximum value in the dataset.
B) The middle value in a sorted dataset.
C) The average of all values in the dataset.
D) A measure of the dispersion of data points around the mean.

25. What is probability sampling?

A) A non-statistical method of gathering data.
B) A sampling technique that selects individuals based on convenience.
C) A sampling technique where each member of the population has a known and non-zero chance of being selected into the sample.
D) A sampling technique that relies on random selection of individuals.

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