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Questions and Answers
Why is there always a risk of an inference about a population being incorrect when based on the knowledge of a limited sample?
Due to the limited number of cells examined and the possibility of all items in the sample being unsatisfactory.
What is the rescue in situations where there is a risk of incorrect inference based on a limited sample?
Evaluating such risks using statistics.
Why is it important to understand probability and probability distributions in statistics?
To equip ourselves with methods of drawing statistical inferences and estimating the reliability of these inferences.
What does the scope of statistics include besides descriptive and inferential branches?
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What is the primary purpose of inferential statistics?
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Explain why it is important to use inferential statistics in situations like estimating the average body weight of all college students in a city.
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Why would one need to repeat the exercise of estimating average body weight for college students in a future year?
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How can inferential statistics be used in deciding whether a given lot of battery cells is good enough to buy?
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What risks are involved in drawing inferences about an unknown population based on sample information?
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Explain the need for hypothesis testing in inferential statistics.
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What are some possible causes of deficiency in achieving sales targets?
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How can statistical methods be used in personnel management?
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What is the relevance of productivity in personnel management?
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How can statistical methods help in ascertaining the efficacy of a new medicine?
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What is the purpose of maintaining records for two comparable groups in a medicine effectiveness study?
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In the context of personnel management, why are comparisons of wages and productivity important?
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