According to a study done last year, the average monthly expenses for mobile phone loads of senior high school students in Sta. Rosa 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 mobile phone loads of P380.00? Use a 0.05 level of significance. Assume that the population standard deviation is P77.00.
Let, Null hypothesis "H_0" : "\\mu>P350"
Alternative hypothesis "H_{\\alpha}" : "\\mu\\leq350"
Test statistic:
"z=\\dfrac{\\overline{x}-\\mu}{\\sigma\/\\sqrt{n}}=\\dfrac{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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