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Q.What is the difference between a population and a sample?
Ans :-A population is the entire group of individuals or items of interest, while a sample is a smaller, representative subset of that population.
What is probability?
Ans :-Probability is a measure of the likelihood that a certain event will occur, expressed as a decimal or fraction between 0 and 1.
What is the difference between dependent and independent events?
Ans :-Independent events are events that are not affected by each other, while dependent events are events where the outcome of one event affects the outcome of another event.
What is the Central Limit Theorem?
Ans :-The Central Limit Theorem states that as the sample size increases, the distribution of the sample means approaches a normal distribution, regardless of the shape of the population distribution.
What is hypothesis testing?
Ans :-Hypothesis testing is a statistical method for testing a claim or assumption about a population based on sample data.
What is a t-test?
Ans :-A t-test is a type of hypothesis test that compares the means of two groups to determine if there is a significant difference between them.
What is a confidence interval?
Ans :-A confidence interval is a range of values that is likely to contain the true population parameter with a certain level of confidence.
What is linear regression?
Ans :-Linear regression is a statistical method for modeling the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the observed data.
What is ANOVA?
Ans :-ANOVA (Analysis of Variance) is a statistical technique for comparing the means of three or more groups to determine if there are significant differences between them.
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