I need assistance finding my errors and clarifying how to do a two tailed t-test

Null hypothesis X1 = 22.95 There is a statistical difference between Altimeter Brand A and Altim- X2 = 25.5 eter Brand B 22.95- 22.5 -.5149 4.9528 Alternative hypothesis t = -.5149 There is no significant difference between Altimeter Brand A and df = 38 Altimeter Brand B standard error of difference = 5.081 Scientific Notation Significance level Null hypothesis a= 0.05 Ho: H1 = H2 p value is determined at alpha = 0.05 two tailed with degrees of Alternative hypothesis freedom = 38 H1: /1 # H2 p value = .618 T-test Since the p value is more than the alpha level that is .618 > 0.05 We use two sample t-test we do not reject the null hypothesis. The result means there is Mean St Dev SE Mean N enough evidence to support the claim that the average altimeter Brand A 22.95 16.89 3.78 20 Brand B 25.50 15.20 3.40 20 error before adjustment-calibration is more than the average error Difference=-2.55 after adjustment-calibration. 95% confidence level for difference (-12.84,7.74)