Scientific skepticism requires that any claim is met with __________.
a) regard for authority
b) an open mind
c) resistance to persuasion
d) hypothetical approach
Answer: b) an open mind
Explanation:
Scientific skepticism can be defined as the method of inquiry in which claims are evaluated by using scientific methodology and validity of the claims are rectified and determined. The scientific skepticism can be answered and doubts can be cleared when the researcher is working with an open mind and must consider all the points for verification of claim and one should be relying on the previous knowledge but must use as standard for comparison with the present study and claim can be only verified by experimentation using the same or different methodology used to frame the claim.
Answer:
72 is a pass mark in a 100℅ grading system
below 50 is a fail mark
Proof is demonstrated by D. the evidence because this is what makes something true.
Answer:
Transvestite disorder
Explanation:
Transvestite disorder is a disorder in which a person would like to be dressed up to their opposite gender and then get to be sexually aroused. It should occur at least for six months and the person's social, occupational and emotional life should be disturbed. When a person dresses up in the opposite, the person gets sexually aroused. This disorder is associated with another disorder fetishism in which a person gets aroused by clothes, materials, garments, and fabrics, etc. The person who is suffering from the symptoms of such type of disorder last five years is called "in remission".
Regression is problematic for classical statistical tests that assume independently distributed errors.
Regression is a statistical technique that relates a dependent variable to one or more independent (explanatory) variables. A regression model can indicate whether an observed change in the dependent variable is associated with changes in one or more of the explanatory variables.
Regression comes from "regress", which comes from the Latin word "regresses" – (to return to something). In this sense, regression is a technique that allows us to move from chaotic and difficult-to-interpret data to a clearer and more meaningful model.
Regression analysis predicts a continuous dependent variable from a set of variables. Used when the independent variable. If your dependent variable is dichotomous, you should use logistic regression.
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