According to a study done last year, the average monthly expenses for cell phone loads of high school students in Manila was P350.00. A Statistics student believes that this amount has increased since January of this year. Is there a reason to believe that this amount has really increased if a random sample of 60 students has an average monthly expenses for cell phone loads of P380.00? Use 0.05 level of significance. Assume that the population standard deviation is p77.00.
Null hypothesis "H_0" : "\\mu>P350"
Alternative hypothesis "H_{\\alpha}" : "\\mu\\leq350"
Test statistic:
"z=\\frac{\\overline{x}-\\mu}{\\sigma\/\\sqrt{n}}=\\frac{380-350}{77\/\\sqrt{60}}=3.02"
P-value:
"p=P(z>3.02)=1-0.9987=0.0013"
Since the P-value is less than 0.05, reject the null hypothesis.
So, we can conclude that monthly expenses for cell phone loads was not really increased since January of this year.
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The Head of the Math Department announced that the mean score of Grade 9 students in the first periodic examination in Mathematics was 89 and the standard deviation was 12. One student who believed that the mean score was less than this, randomly selected 34 students and computed their mean score. She obtained a mean score of 85. At 0.01 level of significance, test the student’s belief.
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