Null Hypothesis: u<= 200.
Alternative Hypothesis: u>200
We assume the XXXX Hypothesis to be true and XXX to either reject it or fail XX reject it.
To perform this test, we need the standard deviation of XXX XXXXXX means XXXXX is XXXXX by XXX XXXXXXX:
(XXXXXX XXXXXXXX XXXXXXXXX)/sqrt(XXXXXX XXXX) = 16/XXXX(XX) = X.06
XXXX we calculate XXX t-XXXXX: (XXXXXX mean - XXXXXXXXXX mean)/(XXXXXXXX deviation XX sample mean) =
(210 - 200)/5.06 = 1.XXX
XX need XX XXXX XXX XXXXXXXXXXX of XXXXXXXXX a t-score of X.XXX or XXXXXX, so XX XXX XXXXXX a table XX p-values for a t-XXXXXXXXXXXX or a calculator's tcdf() function.
For XXXXXX XX XXXXX methods, we need the XXXXXXX XX freedom XXXXX equals sample XXXX - X = XX - 1 = 9.
XXXXX a table, just XXXX XXX p-XXXXX XXX the t-XXXXX and degrees XX freedom.
For a XXXXXXXXXX (such as XX-XX), use function XXXX(1.XXX, X*10^XX,X) = 0.XXXX = p-XXXXX.
Since XXX p-XXXXX, X.0398, is XXXX than the significance level XX X.XX, XX XXX XXXXXX XXX null. XXXXX is XXXXXXXXXXX evidence that XXX average fine XX higher than $XXX.
Note: XX cannot XXXXXX a XXXXXXXXXX, only reject or fail to XXXXXX. XXXX this helps :)