• Author / Uploaded
• Rahul Rawat

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Common Methods in Inferential Statistics are ________________________. ans- all Inferential Statistics conclusions are represented in the form of __________. Ans; Probality score _______ denotes the set of all outcomes obtained in an experiment process. SAMPLE SPACE ________ provides the summary statistics of data. DESCRIPTIVE STATISTICS NumPy package of Python can be used to calculate the mean measure. TRUE Sample Space is a subset of an Event. FALSE ____ maps outcomes of an experiment with numerical values. RANDOM VARIABLE Individual repetitions of experiment is termed as __________. TRIALS _________ is the science of learning from data. STATISTICS Probability value always lies between __________ and __________. 0,1 Probability Density Function produces the likelihood of __________ random variable. CONTINUOUS Measures of Spread include(s) RANGE,SD,VARIANCE Probability of the sure event is __________. 1 Central Limit Theorem holds true for __________. NOT SKEWED, CHOOSE OTHERS An experiment can be repeated __________. INFINITELY Descriptive Statistics works on __________ dataset.

NOT POPULATION, CHOOSE OTHERS

PMF produces the likelihood of __________ random variable. DISCRETE Inferential Statistics conclusions are represented in the form of __________. ______ provides the summary statistics of data. DESCRIPTIVE STATISTICS The Central Limit Theorem states that as the sample size gets larger, the sampling distribution of the sample means approaches a normal distribution. TRUE The sum of probability of an event and its complementary is __________. 1 Expected Value is same as Mean and Average. TRUE