When performing hypothesis testing on two populations means, it is necessary to assume that the populations are normally distributed or that their samples sizes are more than 30 observations. In hypothesis testing, the alternative hypothesis is assumed to be true. In hypothesis testing, if the null hypothesis is rejected, the alternative hypothesis must also be rejected at a 0.05 significance level. The Student t distribution can be used to test a claim about a population mean whenever the sample data are randomly selected from a population that appears to be normally distributed. When conducting a hypothesis test about the claimed proportion of adults who have current passports, the problem with a convenience sample can be overcome by using a larger sample size. A correlation of almost zero indicates that the strength of the relationship between the independent and dependent variable is very weak. If the regression equation relating an independent and dependent variable is found to be significant and is represented by y = 2x + 5, then an increase of 1 unit in x is associated with an increase in 2 units of y. In regression analysis, the units for the independent and dependent variable are always the same.
31) Flase. It not required that assumption should be made always.
32) False. We generall assume the null hypothesis to be true.
33) False. When null is rejected, alternative is accepted.
34) True. It is used whemn sample size is less than 30.
35) False. In this kind of sampling, there is bound to be less randomness.
36) False. Correlation only measures linear relationship. When it is 0, it means that the two variables are no linearly related.
37) True.
38) False.