TrueFlase if false explain why it is false A TF The level

True/Flase - if false explain why it is false.

A. T/F - The level of significance of a test is the probability of making a Type 1 Error.

B. T/F - Human blood type (A,B,AB, or O) is descrete categorical data.

C. T/F - A Type II Error is made by rejuecting a false null hypothesis.

E. T/F - Standard deviations and interquartile ranges are measures of variability.

F. T/F - If the upper tail of a histogram streches out much farther than the lower tail then it is said to be negatively skewed,

Solution

A) True, Since the level of significance of a test is the probability of rejecting the Null hypothesis,

B) True Since there are only four posvibilities So the data is descrete categorical data.

C) False, Since Type II error occur when we Fail to reject the False null hypothesis.

D) True , Defnition of Confidence interval

E) True ,as they are used for measuring the variability in the data

F) False If the upper tail of a histogram streches out much farther than the lower tail then it is said to be positively skewed