{"id":278,"date":"2021-07-14T15:59:05","date_gmt":"2021-07-14T15:59:05","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/chapter\/null-and-alternative-hypotheses\/"},"modified":"2023-12-05T09:32:18","modified_gmt":"2023-12-05T09:32:18","slug":"null-and-alternative-hypotheses","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/introstatscorequisite\/chapter\/null-and-alternative-hypotheses\/","title":{"raw":"Creating Hypotheses","rendered":"Creating Hypotheses"},"content":{"raw":"
\r\n

Learning Outcomes<\/h3>\r\n
\r\n
    \r\n \t
  • Given a claim about a mean, determine null and alternative hypotheses<\/li>\r\n \t
  • Given a claim about a proportion, determine null and alternative hypotheses<\/li>\r\n<\/ul>\r\n<\/section><\/div>\r\nThe actual test begins by considering two\u00a0hypotheses<\/strong>. They are called the null hypothesis<\/strong> and the alternative hypothesis<\/strong>. These hypotheses contain opposing viewpoints.\r\n\r\nH0<\/sub><\/em>: The null hypothesis:<\/strong> It is a statement of no difference between the variables\u2014they are not related. This can often be considered the status quo and as a result if you cannot accept the null it requires some action.\r\n\r\nHa<\/sub><\/em>: The alternative hypothesis<\/strong>:<\/strong> It is a claim about the population that is contradictory to H0<\/sub><\/em> and what we conclude when we reject H0<\/sub><\/em>.\u00a0This is usually what the researcher is trying to prove.\r\n
    \r\n

    Recall: Subscript<\/h3>\r\nMathematicians use subscripts to distinguish between random variables. A subscript is a small number written to the right of, and a little lower than, a variable. There is always a Null and an Alternative hypothesis. Statisticians use the subscript 0 for the null hypothesis because null is the same as nought or zero. Statisticians use the subscript a or alpha for the alternative hypothesis because the statement is alternative to the null or opposite of the null.\r\n\r\n<\/div>\r\nSince the null and alternative hypotheses are contradictory, you must examine evidence to decide whether or not you have enough evidence to reject the null hypothesis. The evidence is in the form of sample data.\r\n\r\nAfter you have determined which hypothesis the sample supports, you make a decision. There are two options for a\u00a0decision<\/strong>. They are \"reject H0<\/sub><\/em>\" if the sample information favors the alternative hypothesis or \"do not reject H0<\/sub><\/em>\" or \"decline to reject H0<\/sub><\/em>\" if the sample information is insufficient to reject the null hypothesis.\r\n\r\nMathematical Symbols Used in\u00a0H0<\/sub><\/em> and Ha<\/sub><\/em>:\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
    H0<\/sub><\/em><\/th>\r\nHa<\/sub><\/em><\/th>\r\n<\/tr>\r\n<\/thead>\r\n
    equal (=)<\/td>\r\nnot equal (\u2260)\u00a0or<\/strong> greater than (>) or<\/strong> less than (<)<\/td>\r\n<\/tr>\r\n
    greater than or equal to (\u2265)<\/td>\r\nless than (<)<\/td>\r\n<\/tr>\r\n
    less than or equal to (\u2264)<\/td>\r\nmore than (>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n
    \r\n\r\n

    Note<\/h4>\r\nH0<\/sub><\/em> always has a symbol with an equal in it. Ha<\/sub><\/em> never has a symbol with an equal in it. The choice of symbol depends on the wording of the hypothesis test. However, be aware that many researchers (including one of the co-authors in research work) use = in the null hypothesis, even with > or < as the symbol in the alternative hypothesis. This practice is acceptable because we only make the decision to reject or not reject the null hypothesis.\r\n\r\nhttps:\/\/youtu.be\/5D1gV37bKXY\r\n
    \r\n

    Example 1<\/h3>\r\nH0<\/sub><\/em>: No more than 30% of the registered voters in Santa Clara County voted in the primary election. p<\/em> \u2264 30\r\n\r\nHa<\/sub><\/em>: More than 30% of the registered voters in Santa Clara County voted in the primary election. p<\/em> > 30\r\n\r\n<\/div>\r\n
    \r\n

    try it 1<\/h3>\r\nA medical trial is conducted to test whether or not a new medicine reduces cholesterol by 25%. State the null and alternative hypotheses.\r\n[reveal-answer q=\"383264\"]Show Answer[\/reveal-answer]\r\n[hidden-answer a=\"383264\"]\r\n\r\nH0<\/sub><\/em> : The drug reduces cholesterol by 25%. p<\/em> = 0.25\r\n\r\nHa<\/sub><\/em> : The drug does not reduce cholesterol by 25%. p<\/em> \u2260 0.25\r\n\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n

    <\/h3>\r\n
    \r\n

    Example 2<\/h3>\r\nWe want to test whether the mean GPA of students in American colleges is different from 2.0 (out of 4.0). The null and alternative hypotheses are:\r\n\r\nH0<\/sub><\/em>: \u03bc<\/em> = 2.0\r\n\r\nHa<\/sub><\/em>: \u03bc<\/em> \u2260 2.0\r\n\r\n<\/div>\r\n
    \r\n

    try it 2<\/h3>\r\nWe want to test whether the mean height of eighth graders is 66 inches. State the null and alternative hypotheses. Fill in the correct symbol (=, \u2260, \u2265, <, \u2264, >) for the null and alternative hypotheses.\r\n\r\nH0<\/sub><\/em>: \u03bc<\/em> __ 66\r\n\r\nHa<\/sub><\/em>:\u03bc<\/em> __ 66\r\n[reveal-answer q=\"510835\"]Show Answer[\/reveal-answer]\r\n[hidden-answer a=\"510835\"]\r\n\r\nH0<\/sub><\/em> : \u03bc<\/em> = 66\r\n\r\nHa<\/sub><\/em> : \u03bc<\/em> \u2260 66\r\n\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n
    \r\n

    Example 3<\/h3>\r\nWe want to test if college students take less than five years to graduate from college, on the average. The null and alternative hypotheses are:\r\n\r\nH0<\/sub><\/em>: \u03bc<\/em> \u2265 5\r\n\r\nHa<\/sub><\/em>: \u03bc<\/em> < 5\r\n\r\n<\/div>\r\n
    \r\n

    try it 3<\/h3>\r\nWe want to test if it takes fewer than 45 minutes to teach a lesson plan. State the null and alternative hypotheses. Fill in the correct symbol ( =, \u2260, \u2265, <, \u2264, >) for the null and alternative hypotheses.\r\nH0<\/sub><\/em>: \u03bc<\/em> __ 45\r\n\r\nHa<\/sub><\/em>:\u03bc<\/em> __ 45\r\n[reveal-answer q=\"797680\"]Show Answer[\/reveal-answer]\r\n[hidden-answer a=\"797680\"]\r\n\r\nH0<\/sub><\/em>: \u03bc<\/em> \u2265 45\r\n\r\nHa<\/sub><\/em>: \u03bc<\/em> < 45\r\n\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n
    \r\n

    Example 4<\/h3>\r\nIn an issue of U.S. News and World Report<\/em>, an article on school standards stated that about half of all students in France, Germany, and Israel take advanced placement exams and a third pass. The same article stated that 6.6% of U.S. students take advanced placement exams and 4.4% pass. Test if the percentage of U.S. students who take advanced placement exams is more than 6.6%. State the null and alternative hypotheses.\r\n[reveal-answer q=\"65021\"]Show Answer[\/reveal-answer]\r\n[hidden-answer a=\"65021\"]\r\n\r\nH0<\/sub><\/em>: p<\/em> \u2264 0.066\r\n\r\nHa<\/sub><\/em>: p<\/em> > 0.066\r\n\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n
    \r\n

    try it 4<\/h3>\r\nOn a state driver's test, about 40% pass the test on the first try. We want to test if more than 40% pass on the first try. Fill in the correct symbol (=, \u2260, \u2265, <, \u2264, >) for the null and alternative hypotheses.\r\nH0<\/sub><\/em>: p<\/em> __ 0.40\r\n\r\nHa<\/sub><\/em>: p<\/em> __ 0.40\r\n[reveal-answer q=\"550375\"]Show Answer[\/reveal-answer]\r\n[hidden-answer a=\"550375\"]\r\n\r\nH0<\/sub><\/em>: p<\/em> = 0.40\r\n\r\nHa<\/sub><\/em>: p<\/em> > 0.40\r\n\r\n[\/hidden-answer]\r\n\r\n<\/div>\r\n
    \r\n

    Activity<\/h3>\r\n<\/header>Bring to class a newspaper, some news magazines, and some Internet articles . In groups, find articles from which your group can write null and alternative hypotheses. Discuss your hypotheses with the rest of the class.\r\n\r\n<\/div>","rendered":"
    \n

    Learning Outcomes<\/h3>\n
    \n
      \n
    • Given a claim about a mean, determine null and alternative hypotheses<\/li>\n
    • Given a claim about a proportion, determine null and alternative hypotheses<\/li>\n<\/ul>\n<\/section>\n<\/div>\n

      The actual test begins by considering two\u00a0hypotheses<\/strong>. They are called the null hypothesis<\/strong> and the alternative hypothesis<\/strong>. These hypotheses contain opposing viewpoints.<\/p>\n

      H0<\/sub><\/em>: The null hypothesis:<\/strong> It is a statement of no difference between the variables\u2014they are not related. This can often be considered the status quo and as a result if you cannot accept the null it requires some action.<\/p>\n

      Ha<\/sub><\/em>: The alternative hypothesis<\/strong>:<\/strong> It is a claim about the population that is contradictory to H0<\/sub><\/em> and what we conclude when we reject H0<\/sub><\/em>.\u00a0This is usually what the researcher is trying to prove.<\/p>\n

      \n

      Recall: Subscript<\/h3>\n

      Mathematicians use subscripts to distinguish between random variables. A subscript is a small number written to the right of, and a little lower than, a variable. There is always a Null and an Alternative hypothesis. Statisticians use the subscript 0 for the null hypothesis because null is the same as nought or zero. Statisticians use the subscript a or alpha for the alternative hypothesis because the statement is alternative to the null or opposite of the null.<\/p>\n<\/div>\n

      Since the null and alternative hypotheses are contradictory, you must examine evidence to decide whether or not you have enough evidence to reject the null hypothesis. The evidence is in the form of sample data.<\/p>\n

      After you have determined which hypothesis the sample supports, you make a decision. There are two options for a\u00a0decision<\/strong>. They are “reject H0<\/sub><\/em>” if the sample information favors the alternative hypothesis or “do not reject H0<\/sub><\/em>” or “decline to reject H0<\/sub><\/em>” if the sample information is insufficient to reject the null hypothesis.<\/p>\n

      Mathematical Symbols Used in\u00a0H0<\/sub><\/em> and Ha<\/sub><\/em>:<\/p>\n\n\n\n\n\n\n\n
      H0<\/sub><\/em><\/th>\nHa<\/sub><\/em><\/th>\n<\/tr>\n<\/thead>\n
      equal (=)<\/td>\nnot equal (\u2260)\u00a0or<\/strong> greater than (>) or<\/strong> less than (<)<\/td>\n<\/tr>\n
      greater than or equal to (\u2265)<\/td>\nless than (<)<\/td>\n<\/tr>\n
      less than or equal to (\u2264)<\/td>\nmore than (>)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      \n

      Note<\/h4>\n

      H0<\/sub><\/em> always has a symbol with an equal in it. Ha<\/sub><\/em> never has a symbol with an equal in it. The choice of symbol depends on the wording of the hypothesis test. However, be aware that many researchers (including one of the co-authors in research work) use = in the null hypothesis, even with > or < as the symbol in the alternative hypothesis. This practice is acceptable because we only make the decision to reject or not reject the null hypothesis.<\/p>\n