document.write( "Question 1201385: The prime Minister of a small Caribbean Island stated that 95% of the population was vaccinated from the Covid-19 virus. The opposition believes that the Minister is overstating the proportion of vaccinated citizens. He randomly selects 300 citizens and found that 240 of them were fully vaccinated. \r
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document.write( "iv. Calculate the value of the test statistics.
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document.write( "v. At the 5% level of significance, determine if the Politian overstated the proportion of vaccinated citizen. Use the classical approach.
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Algebra.Com's Answer #835800 by math_tutor2020(3817) ![]() You can put this solution on YOUR website! \n" ); document.write( "Part (iv)\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "p = 0.95 = hypothesized population proportion of people who got vaccinated \n" ); document.write( "phat = sample proportion = 240/300 = 0.80 \n" ); document.write( "n = 300 = sample size\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "SE = standard error \n" ); document.write( "SE = sqrt(p*(1-p)/n) \n" ); document.write( "SE = sqrt(0.95*(1-0.95)/300) \n" ); document.write( "SE = 0.01258305739211 \n" ); document.write( "This value is approximate.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Test statistic: \n" ); document.write( "z = (phat - p)/SE \n" ); document.write( "z = (0.80 - 0.95)/0.01258305739211 \n" ); document.write( "z = -11.9207912135929 \n" ); document.write( "z = -11.92\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Test statistic: z = -11.92 approximately\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "============================================================\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Part (v)\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "p = population proportion of people who got vaccinated\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Null hypothesis: p = 0.95 \n" ); document.write( "Alternative hypothesis: p < 0.95\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "The prime minister's claim is in the null hypothesis. \n" ); document.write( "The opposition's claim is in the alternative hypothesis.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "This is because the opposition believes the 95% vaccination rate is overstated (i.e. the value of p is lower).\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "This is a left-tailed test due to the \"less than\" sign in the alternative hypothesis. \n" ); document.write( "If the test statistic is to the left of the critical value, then we reject the null.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "At the 5% level of significance, the left-tailed critical value is approximately z = -1.645 (use a table or stats calculator to determine this) \n" ); document.write( "P(Z < -1.645) = 0.05 approximately \n" ); document.write( "5% of the area under the standard normal Z curve is to the left of z = -1.645\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "We found that \n" ); document.write( "test statistic = -11.92 \n" ); document.write( "critical value = -1.645 \n" ); document.write( "both of which are approximate\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "The test statistic is to the left of the critical value. \n" ); document.write( "We're in the rejection region. \n" ); document.write( "Therefore we reject the null and conclude p < 0.95 is the case.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Conclusion: it appears the prime minister has likely overstated the vaccination rate. It's likely less than 95%. \n" ); document.write( " \n" ); document.write( " |