What appropriate test statistic is used given the
sample size is 35 and sample standard deviation is 1.2?
When dealing with a large sample of size n >30 from a population which need not be normal but has finite variance, we can use the central limit theorem to justify using the test for normal populations. Even when "\\sigma^2" is unknown we can approximate its value with "s^2" in the computation of the test statistic.
Test-statistic:
"Z= \\frac{\\bar{x} - \\mu}{s\/ \\sqrt{n}}"
"\\bar{x} =" sample mean
"\\mu =" population mean
s = sample standard deviation
n = sample size
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