Question.1048 - A production manager can use hypothesis testing to test assumptions and theories. These assumptions are tested against evidence provided by actual, observed production data. A statistical hypothesis is a statement about the value of a population parameter we are interested in. Hypothesis testing is a process followed in deciding between 2 competing, mutually exclusive, collective exhaustive statements about the parameter’s value. An industrial seller of grass seeds packages its product in 50-pound bags. The production manager is responsible for ensuring the packages contain the amount of product they are supposed to. As part of routine quality assurance, the production manager randomly samples a batch of 9 bags to determine if the seed bags are appropriately filled. Watch “Hypothesis Testing Basics” from LinkedIn Learning and “Defining Hypotheses” by Lori Seward in this week’s learning activities before responding to this discussion. Review the weight of the samples in the following table. You may also view the sample weights in Excel if desired. Sample Weight (pounds) 1 49.5 2 45.6 3 46.7 4 47.7 5 47.6 6 48.8 7 50.5 8 48.6 9 50.2 Respond to the following: What are the null hypothesis and alternate hypothesis for this scenario? Now, share a scenario where you could use hypothesis testing in your industry or organization. Explain why you might need to test a hypothesis. What is your null hypothesis? What is an alternate hypothesis? How does the critical value fit into this scenario? What information is needed to test the hypothesis?
Answer Below:
In xxxx scenario xxx Null xxxxxxxxxx can xx written xx the xxxxxxx weight xx the xxxxx seed xxxx in xxx population xxxxxx pounds xxx the xxxxxxxxxxx hypothesis xxx be xxxxxxx as xxx average xxxxxx of xxx grass xxxx bags xx the xxxxxxxxxx is xxx equal xx pounds x imagined x scenario xx the xxxxxxxxxx industry xxxxxxx a xxxxxxxx tests x new xxxx to xxxxxx patient xxxxxxxx time xxxxx surgery xxx null xxxxxxxxxx H xxxxx be xxxx the xxx drug xxxx not xxxxxx recovery xxxx while xxx alternative xxxxxxxxxx H xxxxx be xxxx the xxx drug xxxxxxxxxxxxx reduces xxxxxxxx time xxx critical xxxxx is x threshold xxxxxxxxxx by xxx chosen xxxxx of xxxxxxxxxxxx alpha xxxxx defines xxx boundary xxx deciding xxxxxxx to xxxxxx the xxxx hypothesis xxx may xxxxxx the xxxx hypothesis xx the xxxx statistic xxxxxxx the xxxxxxxx value xxx information xxxxxx to xxxx the xxxxxxxxxx is xxxxxx data xxxxxxxxxx parameters xxxx Statistics xxxxxxxxxxxx level xxx critical xxxxx to xxxx informed xxxxxxxxx about xxx new xxxxxx effectiveness xxxxx Seward xx can xxxxxxxx whether xx reject xxx null xxxxxxxxxx based xx the xxxxxxxx by xxxxxxxxx these xxxxxxxxxx ReferencesDoane x Seward x E xxxxxxx statistics xx business xxx economics xx ed xxxxxxxxxxxMore Articles From Statistics
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