Q1 What is hypothesis testing A This is experimental statist

Q1. What is hypothesis testing? A. This is experimental statistics used to make a decision or judgment about the validity of a proposed population parameter. B. This is a non-parametric statistics used to make a decision or judgment about the validity of a proposed population parameter. C. This is an inferential statistics used to make a decision or judgment about the validity of a proposed population parameter. D. This is stochastic statistics used to make a decision or judgment about the validity of a proposed population parameter. E. This is observational statistics used to make a decision or judgment about the validity of a proposed population parameter. Q2. How many types of hypotheses do we have? A. Three B. Five C. Two. D. Four E. One Q3. How many forms of the alternative hypothesis do we have? A. Two B. Five C. Three. D. Four E. One Q4. All of these terminologies are relevant to hypothesis testing except. A. The cut-off statistic B. The test statistic C. The rejection region D. The acceptance region E. The critical values Use the following information to answer Q5 - Q10. Consider the following 25 bags of randomly selected Doritos from a snack manufacturing company. The net weights of these Doritos are normally distributed with a population standard deviation of 7.8g. We are to perform a hypothesis test with 5% significant level to conclude that the packaging machine is not working properly given that the proposed mean weight is 454g per bag of Doritos. 465 456 438 454 447 449 442 449 446 447 468 433 454 463 450 446 447 456 452 444 447 456 456 435 450. Q5. The null verses the alternative hypothesis is given by A. Ho: µ=454 vs. Ha:µ454 B. Ho: µ=454 vs. Ha:µ<454 C. Ho: µ=454 vs. Ha:µ>454 D. Ho: µ454 vs. Ha:µ454 E. Ho: µ454 vs. Ha:µ454

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Q1. What is hypothesis testing? A. This is experimental statistics used to make a decision or judgment about the validity of a proposed population parameter. B.

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