Ha: The space being carpeted is not 250 square feet, and the second measurement is significantly different.
2. H0: Drug B is less than or equal in effectiveness to Drug A.
Ha: Drug B is more effective than Drug A.
H0 is true, Ha is false (B <= A)
HX is XXXXX, Ha is true (X &XX; X)
XXXXXX H0 (X &XX;= A)
No XXXXX
Type XX XXXXX
Accept Xa (X &XX; A)
Type I error
No error
Type I XXXXX XXXXX XX more severe, XX XXXX XXXXX XXXX XXX XXX drug XXX been XXXXXXX shown to XX more XXXXXXXXX XXXX XXX XXXXX XXXX. Drug A XXX XXXX XXXXX to be XXXXXXXXX, XXX XX it is replaced XX an ineffective XXXX B, XXXX XXX be very XXXXXXXXXXX. XX the XXXXX XXXX, XX XXXX X was falsely shown to XX equal or XXXX than Drug X in effectiveness, XXXX would be Type II error, XXXXX would XXX be XX XXXXXX. Drug X would XXX XXXXXXX XXXX X, but it XX XXXXX XXXX XXXX A is effective, so XXXX XXXX XXXXXXX in a decrease in XXXXXXXXXX, XXXXXX than XXX XXXXXXXX in XXXXXXXXXXXXX that the Type I XXXXX XXXXX XXXXXXX.
X. XX: The bottles contain 6 XXXXXX of medicine XXX bottle.
Xa: XXX XXXXXXX XXXXXXX more than permitted XXXX X XXXXXX per XXXXXX.
XXXXXX XXX: X.95 X.XX 5.98 X.01 X.25 5.85 X.XX 6.05 X.XX X.XX
XXXXXX distribution: XXXXXXXX XXXXXXXXX = X.3
XXXX of sample XXX (Xs) = X.XXX
Standard XXXXX (SE) = s/sqrt(n) = X.X / XXXX(XX) = 0.XXXX
X-XXXXX = (Xs - &XXXXX;) / SE = (X.XXX - 6.X) / X.0949 = -0.116
p-XXXXX = 0.XXX
XXX p-XXXXX corresponding XX the X-score 0.-0.116 is X.0.XXX, XXXXX is not statistically significant at p<X.XX or p&XX;X.1. Therefore, there is not enough evidence to say XXXX XXX bottles XXX not filled adequately at 6 XXXXXX.
7. X-XXXXX = (X - µ) / s = (20 - 17) / X.4 = X.XXX
8. XXX p-XXXXX corresponding XX a z-XXXXX XX X.882 XX 0.XXX. XXXX means that XXX XXXXXX of finding values XXXXX 20 in XXX XXXXXXXX XXXXXXXXXXXX centered XXXXXX 17 is 18.X%. X XX XXXXXX close to the mean, and is XXXXXX a XXXXXX standard XXXXXXXXX XXXX it, which can XX seen XX XXX z-XXXXX XXXXX X. XX checking X for error, XXX high p-value means that XXXXX is XX statistically significant error at any XXXXX (p&XX;0.XX or p<1).
9. z-score = (X - &XXXXX;) / s = (12 - XX) / X.9 = -X.05
XXX p-value corresponding to this X-score XX -X.XX is 0.147, meaning that 14.7% XX XXXXXXXXXXX XXXX less than the XXX in XXXXXXXX. XXXXX this wouldnt XX XXXXXXXXXXXXX significant for error, it XXXXX indicates that XXXXX 85% of babysitters XXX XXXX more XXXX her per hour. I XXXXX consider XXXXXX her a XXXXX to $14 an XXXX, the XXXXXXX, which would XX appropriate XXXXX the XXXXXXXXXXXXX. Even though XXX XX XXXX about XXX XXXXXXXX XXXXXXXXX XXXX the XXXX, it XXXXX XXXXX XXX her XX believe she is underpaid XXXX a XXXXX majority of the XXXXX XXXXXXXXXXX are paid more than her.
XX. Standard XXXXX = s / sqrt(n) = XX / XXXX(100) = 3.X
X-score = (Xs - &XXXXX;) / XX = (XXX - XXX) / X.X = XX
p-XXXXX XX very XXXXX to XXXX, XXXX XXXX X.XXXXX
XXXXXXX XXX X-score XX XX, the XXXX XXXX the XXXX who XXXX through tutoring do XXXXXX XX XXX math portion XX. The almost-zero p-value XXXXXXXXX XXXX XXX XXXXX XX significant at XXXX the 5% level (p&XX;0.05) and the 1% XXXXX (p&XX;X.XX), meaning XXXX this XXXXXX XX XXXXXX error. XX XXXXXX XX said XXXX XXXXXXXXX if it XX a result XX the XXXXXXXX, XXXXXXX the sample is XXXXXX (XXXX kids XXXX XXXXXX XX for tutoring in the first XXXXX are in XXX XXXXXX). However, that XXXXXXXXXX itself XX XXXXXXXXX separate XXXX XXX normal distribution.