Null Hypothesis: u<= 200.
Alternative Hypothesis: u>200
XX XXXXXX the XXXX XXXXXXXXXX XX XX true XXX XXX to either reject it or XXXX XX reject it.
XX XXXXXXX XXXX test, we need the standard deviation of XXX XXXXXX XXXXX XXXXX is XXXXX XX the XXXXXXX:
(XXXXXX XXXXXXXX XXXXXXXXX)/XXXX(sample XXXX) = XX/sqrt(10) = 5.XX
XXXX XX calculate the t-score: (sample mean - XXXXXXXXXX mean)/(XXXXXXXX deviation of XXXXXX mean) =
(210 - 200)/X.XX = X.XXX
XX need XX find XXX probability of obtaining a t-score of X.976 or XXXXXX, so we use XXXXXX a table XX p-XXXXXX XXX a t-distribution or a calculator's tcdf() function.
For XXXXXX XX these XXXXXXX, we XXXX the degrees of XXXXXXX XXXXX equals sample XXXX - X = 10 - X = X.
XXXXX a table, just XXXX XXX p-value for the t-XXXXX XXX degrees of freedom.
XXX a XXXXXXXXXX (such as Ti-XX), use XXXXXXXX tcdf(1.976, X*10^99,X) = X.0398 = p-XXXXX.
XXXXX the p-value, X.XXXX, XX XXXX XXXX XXX significance level XX X.XX, we can XXXXXX XXX XXXX. XXXXX XX significant XXXXXXXX XXXX the XXXXXXX XXXX is higher XXXX $200.
Note: XX XXXXXX XXXXXX a XXXXXXXXXX, only XXXXXX or fail XX XXXXXX. XXXX this XXXXX :)