The average expenditure per student (based on average daily attendance) for a certain school year was $10,337 with a population standard deviation of $1560. A survey for the next school year of 150 randomly selected students resulted in a sample mean of $10, 798. Find the P-value? Should the null hypothesis be rejected at alpha = .05 level of significance?
"H_0:a=a_0=10337"
"H1:a>a_0"
Test statistic:
"T={\\frac {(x-a)*\\sqrt{n}} {\\sigma}}" , where x - sample mean, n - sample size, "\\sigma" - population standard deviation. So, in the given case we have
"T={\\frac {(10798-10337)*\\sqrt{150}} {1560}}\\approx 3.62"
Since population standard deviation is known and sample size is big, then it is aapropriate to use z-statisctic. So, p-value for obtained T is "p=P(Z>T)=P(Z>3.62)=0.00015"
p < 0.05, so we should reject the null hypothesis and conclude that average expenditure is greater that 10337
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