On the Standford-Binet test, the mean IQ is 100. A class of 21 kindergarten pupils were tested with a resulting mean of 105 and a standard deviation of 5.44. Does this group have a mean significantly different than the norm group? Use 0.01 as your level of significance.
"\\mu=100, \\ n=21, \\ \\bar{x}=105, \\ s=5.44,\\ \\alpha=0.01."
The null and alternative hypotheses are
"H_0:\\mu=100,\\\\\nH_1:\\mu\\neq100."
Because "\\sigma" is unknown and he population is normally distributed, we use the t-test.
The test is a two-tailed test, the level of significance is "\\alpha=0.01" , and the degrees of freedom are
d.f. = 21 - 1 = 20. So, using t-table, the critical values are -t0 = -2.845 and t0 = 2.845. The rejection regions are t < -2.845 and t > 2.845. The standardized test statistic is
"t=\\cfrac{\\bar{x}-\\mu}{s\/\\sqrt{n}}=\\cfrac{105-100}{5.44\/\\sqrt{21}}=4.212>2.845."
Because t is in the rejection region, we reject the null hypothesis, this group has a mean significantly different than the norm group.
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