- ADescriptive Statistics
- BInferential Statistics
Mathematics - Quiz
- ASample
- BEvent
- CPopulation
- DNone of the options
- AProbability
- BStatistics
- CBoth the options
- DNone of the options
- AData Collection
- BData Analysis
- CData Exploration
- DNone of the options
- AA branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data
- BA programming language used for statistical computing and graphics
- CA type of survey used for sampling a population
- D A method used for testing hypotheses in physics experiments
- ANull Hypothesis
- BAlternative Hypothesis
- CNone of the options
- DAll the options
- AMean, Median, and Mode
- BRange, Standard Deviation, and Variance
- CMean and Median
- DRange and Median
- ABinomial
- BNormal
- CUniform
- DPoisson
- AInferential Statistics
- BDescriptive Statistics
- CAll the options
- DNone of the options
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Quiz Analytics
Mathematics - Quiz
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Time Taken: Questions: Answered: Not Answered:
Correct Answer:
Wrong Answer:
Percentage: %
- A. Descriptive Statistics
- B. Inferential Statistics
Remarks:
Explanation:
The correct answer is "Descriptive Statistics."
Descriptive statistics is a branch of statistics that deals with the collection, organization, analysis, interpretation, and presentation of data. It is concerned with summarizing and describing the main features of a set of data using measures such as mean, median, mode, standard deviation, and range.
In contrast, inferential statistics is concerned with making inferences or generalizations about a population based on a sample of data. It involves hypothesis testing, estimating parameters, and making predictions.
Therefore, descriptive statistics provides the summary statistics of data, while inferential statistics is used to draw conclusions about a population based on sample data.
- A. Sample
- B. Event
- C. Population
- D. None of the options
Remarks:
Explanation:
Population.
A population refers to the entire group of individuals, objects, or events that share a common characteristic or set of characteristics and are of interest to a researcher. In statistics, a population is the set of all measurements or data points that one wishes to analyze, and it includes all the individuals, items, or events that meet the criteria for inclusion in the study.
In contrast, a sample is a subset of the population that is selected for study. It is chosen to represent the entire population, as it is not feasible or practical to study the entire population.
- A. Probability
- B. Statistics
- C. Both the options
- D. None of the options
Remarks:
Explanation:
Statistics holds the responsibility of describing the data collected.
Statistics is the branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It provides a set of methods and tools that can be used to describe, analyze, and make inferences about data.
Probability, on the other hand, is a branch of mathematics that deals with the study of random events and the likelihood of their occurrence. It is often used in conjunction with statistics to make predictions and draw conclusions about data.
Therefore, statistics holds the responsibility of describing the data collected, while probability is used to study the likelihood of events and outcomes.
- A. Data Collection
- B. Data Analysis
- C. Data Exploration
- D. None of the options
Remarks:
Explanation:
Data Analysis is the process of applying logical or statistical techniques to evaluate and describe data in a meaningful way.
Data analysis involves examining and interpreting data in order to extract insights and draw conclusions. This may involve applying various statistical techniques, such as descriptive statistics, hypothesis testing, regression analysis, and machine learning, to identify patterns, relationships, and trends in the data. The goal of data analysis is to transform raw data into useful information that can be used to inform decision-making, develop strategies, or solve problems.
Data collection, on the other hand, refers to the process of gathering and recording information, while data exploration refers to the initial examination and visualization of data to gain insights and identify patterns.
- A. A branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data
- B. A programming language used for statistical computing and graphics
- C. A type of survey used for sampling a population
- D. A method used for testing hypotheses in physics experiments
Remarks:
Explanation:
A branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data
- A. Null Hypothesis
- B. Alternative Hypothesis
- C. None of the options
- D. All the options
Remarks:
Explanation:
Null Hypothesis.
- A. False
- B. True
Remarks:
Explanation:
True
- A. Mean, Median, and Mode
- B. Range, Standard Deviation, and Variance
- C. Mean and Median
- D. Range and Median
Remarks:
Explanation:
Range, Standard Deviation, and Variance
- A. Binomial
- B. Normal
- C. Uniform
- D. Poisson
Remarks:
Explanation: The correct answer is "Binomial". In a binomial experiment, each trial has two possible outcomes, often referred to as success and failure. The probability of success is denoted by p, and the probability of failure is denoted by q, where q = 1 − p. The trials are independent, and the probability of success remains constant throughout the experiment. Binomial experiments are commonly used in fields such as biology, psychology, and quality control to model events that can be classified as either success or failure.
- A. Inferential Statistics
- B. Descriptive Statistics
- C. All the options
- D. None of the options
Remarks:
Explanation: The correct answer is "Inferential Statistics". Inferential statistics is the branch of statistics that deals with making inferences about a population based on information gathered from a sample. It involves using statistical methods to draw conclusions about a population parameter based on sample statistics. In contrast, descriptive statistics involves summarizing and describing the characteristics of a sample or population, without making any inferences beyond the data at hand.