In a plant nursery, the owner thinks that the lengths of seedlings in a box sprayed with a new kind of fertilizer has an average height of 26cm. after three days and a standard deviation of 10cm. one researcher randomly selected 80 such seedlings and calculated the mean height to be 20 cm. and the standard deviation was 10cm. will you conduct a one tailed test or two- tailed test? proceed with the test with 95% confidence level
Since sample mean is much smaller than the claimed one, then it is appropriate to put forward next hypotheses:
"H_0:a=26"
"H_1:a<26"
So, it is one-tailed test
Test statistic: "T={\\frac {(x-a)*\\sqrt n} {\\sigma}}" , where x - sample mean, a - claimed mean, n - sample size, "\\sigma" - standard deviation. So, "T={\\frac {(20-26)*\\sqrt {80}} {10}}\\approx-5.37"
Since sample size is big, then it is appropriate to use z-score as critical value, then
"P(Z<Cr)=1-\\alpha=1-0.95=0.05\\implies Cr=-1.64"
Since T<Cr, then we should conclude that there is enough statistical evidence to reject the null hypothesis and admit that the mean is smaller than 26cm
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