document.write( "Question 1201156: Hello, please i need help with this question. In an experiment to determine whether there is a systematic difference between the weights obtained with two different mass balances, six specimens were weighed, in grams, on each balance. The following data were obtained:\r
\n" ); document.write( "\n" ); document.write( "Specimen: 1,2,3,4,5,6.
\n" ); document.write( "A: 10.16,10.88,10.49,5.29,8.25,7.58
\n" ); document.write( "B: 10.17,10.87,10.48,5.28,8.26,7.54\r
\n" ); document.write( "\n" ); document.write( "State the null and alternate hypotheses.
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Algebra.Com's Answer #835418 by math_tutor2020(3817)\"\" \"About 
You can put this solution on YOUR website!

\n" ); document.write( "I'll provide the answers first at the top of the page.
\n" ); document.write( "The next section will do a deeper dive explaining things.\r
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\n" ); document.write( "\n" ); document.write( "Answers:
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  • null hypothesis aka
  • alternate hypothesis aka
mu = \"mu\" is used for the population mean.
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\n" ); document.write( "\n" ); document.write( "Explanation:\r
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\n" ); document.write( "\n" ); document.write( "Standard practice with population parameters generally involves Greek letters.
\n" ); document.write( "Examples:
  • Greek letter mu = \"mu\" = population mean
  • Greek letter sigma = \"sigma\" = population standard deviation
  • Greek letter rho = \"rho\" = population correlation coefficient
and so on. We use the lowercase version of each letter.\r
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\n" ); document.write( "\n" ); document.write( "The one exception to this rule, that I can think of anyway, is the use of 'p' for the population proportion (the sample version is phat). \r
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\n" ); document.write( "\n" ); document.write( "We're looking at the mean weights so we go for mu or \"mu\".
\n" ); document.write( "Both \"mean\" and \"mu\" start with M, which is one way to remember the connection.\r
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\n" ); document.write( "\n" ); document.write( "If we want to talk about two (or more) different population means, it's common to attach a number to the bottom right corner of this variable.
  • mu1 = \"mu%5Bmatrix%281%2C3%2C%22%22%2C%22%22%2C1%29%5D\" = population mean of group 1
  • mu2 = \"mu%5Bmatrix%281%2C3%2C%22%22%2C%22%22%2C2%29%5D\" = population mean of group 2
  • etc
Some textbooks will use letters instead of numbers.
  • muA = \"mu%5Bmatrix%281%2C3%2C%22%22%2C%22%22%2CA%29%5D\" = population mean of group A
  • muB = \"matrix%281%2C2%2C%22%22%2Cmu%5Bmatrix%281%2C3%2C%22%22%2C%22%22%2CB%29%5D%29\" = population mean of group B
  • etc
To be even more descriptive, the letters can be replaced with short names.
\n" ); document.write( "Examples:
  • mu_dogs = \"mu%5Bmatrix%281%2C3%2C%22%22%2C%22%22%2Cdogs%29%5D\" = population mean of dogs' weight
  • mu_cats = \"mu%5Bmatrix%281%2C3%2C%22%22%2C%22%22%2Ccats%29%5D\" = population mean of cats' weight
It will depend on context which is the better format.
\n" ); document.write( "Statistical software like Minitab often uses a format similar to the last set of examples shown above.\r
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\n" ); document.write( "\n" ); document.write( "Since your teacher is involving letters, I'll go for that style. \r
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\n" ); document.write( "\n" ); document.write( "The instructions mention \"In an experiment to determine whether there is a systematic difference between the weights\"
\n" ); document.write( "Meaning that the researcher wants to test the claim if is the case or not.
\n" ); document.write( "The flip of that statement would be \r
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\n" ); document.write( "\n" ); document.write( "For each statement, we can optionally subtract \"mu%5Bmatrix%281%2C3%2C%22%22%2C%22%22%2CB%29%5D\" from both sides.
\n" ); document.write( "Eg: becomes \r
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\n" ); document.write( "\n" ); document.write( "Why do we bother with this subtraction? It's to conduct a hypothesis test on the difference of the population means.
\n" ); document.write( "Treat that difference as a new random variable on its own. \r
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\n" ); document.write( "\n" ); document.write( "Rule: The null hypothesis ALWAYS has the equal sign.
\n" ); document.write( "This is to lock the parameter(s) into one spot and set up one distribution.\r
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\n" ); document.write( "\n" ); document.write( "Therefore,
  • null hypothesis aka
  • alternate hypothesis aka
This is a two-tailed test because of the \"not equals\" in the alternate/alternative hypothesis.\r
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\n" ); document.write( "\n" ); document.write( "I'll stop here since it seems like all you need are the null and alternate hypotheses.
\n" ); document.write( "Let me know if have further questions. Or please make a new post on this website.
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