
Exploring Statistical Methods
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Reeba Mary Alex undefined
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of descriptive statistics?
To predict future trends based on historical data.
To perform complex mathematical calculations on data.
To establish causal relationships between variables.
The purpose of descriptive statistics is to summarize and describe the main features of a dataset.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Define the term 'population' in statistics.
The average value of a dataset.
A method for collecting data from a group.
A sample of individuals selected from a larger group.
Population in statistics is the complete set of items or individuals being studied.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between a sample and a population?
A sample is a random selection of data points from a population.
A sample is a subset of a population.
A population is always larger than a sample.
A sample includes the entire population.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of a normal distribution.
A normal distribution has no defined mean or standard deviation.
A normal distribution is a symmetric probability distribution characterized by a bell-shaped curve, defined by its mean and standard deviation.
A normal distribution is characterized by a uniform probability distribution.
A normal distribution is always skewed to the right.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a p-value in hypothesis testing?
A p-value indicates the probability of the null hypothesis being true.
A p-value is the threshold for determining the sample size.
A p-value measures the strength of the null hypothesis.
A p-value indicates the probability of obtaining test results at least as extreme as the observed results, given that the null hypothesis is true.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Describe the central limit theorem.
The central limit theorem states that the distribution of sample means approaches a normal distribution as the sample size increases.
The central limit theorem indicates that larger samples will always yield more accurate results.
The central limit theorem states that all distributions are normal regardless of sample size.
The central limit theorem applies only to populations with a normal distribution.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of the standard deviation?
The standard deviation measures the average of a data set.
The standard deviation indicates the median value of data points.
The standard deviation is used to calculate the mode of a data set.
The standard deviation quantifies the variability or spread of a set of data points.
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