If a relationship has practical significance, does it guarantee that statistical significance will be achieved in every study that examines it? explain.

  No.

Step-by-step explanation:

Different studies have different biases and confounding effects, sometimes known or discovered, sometimes not. One of the confounding effects rarely accounted for properly is the bias of the experimenter. As a consequence, statistical significance cannot be assured in the study of an effect, even though an effect is real and reliable.

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See Cleve Baxter's book Primary Perception for a more in-depth discussion of experimenter bias.

options a,b,c are the right answer.

step-by-step explanation:

a linear parent function is always represented as y = x

if we write this function in the form of y=mx+c

⇒

or  

now if we plot a graph we will find these characteristics:

1) y intercept of the graph is zero so its a straight line passing through origin.

2) as we can see in both the forms of function written, values of x and y may be either positive or negative for the positive slope means points on the graph are either in first quadrant or in third one.

3) it's slope is one.

answer: 819.89 miles across america

step-by-step explanation: