Discuss the impact that the birth of a child with a significant hearing impairment has on the family dynamic.
What will be an ideal response?
Ans: Family dynamics can be severely disrupted when a child is born with a significant hearing impairment. Parental, sibling, and grandparent roles are often dramatically altered by such an event. Because the effects of hearing impairment are so pervasive, particularly with regard to communication, accepting and “normalizing” the child’s disability can be quite difficult. The expected or fantasized child does not arrive and the family experiences an initial state of emotional shock and disbelief. The level of impact on the family may vary but for most families such an event can create a crisis atmosphere of considerable magnitude.
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Achieving statistically significant results means that the results
a. are applicable to situations similar to that of the study. b. are what was predicted by the hypothesis of the study. c. are unlikely to be due to chance alone. d. All of these are true.
According to the Mathematical Practice “Make Sense of Problems and Persevere in Solving Them,” mathematically proficient students should be able to do all of the following except:
a. understand what is being asked and plan a general solution strategy. b. realize that a problem in any context can be represented with numerical expressions. c. develop a specific strategy but show flexibility when solving the problem. d. show persistence in solving the problem.
Which is a replacement behavior for a student who refuses to complete a math task?
a. Provide a math task that the student is able to complete independently. b. Have a classmate give student the math answers. c. Assign a one-on-one aide for the student. d. The student is allowed to skip math. e. None of these.
Which of the following statements is true regarding the sources of variation present in an analysis of regression?
A. Regression variation measures variability in X, whereas residual variation measures variability in Y. B. The closer that data points fall to the regression line, the more the variance in Y will be attributed to regression variation. C. There are three sources of variation in an analysis of regression: regression variance, residual variance, and error variance. D. When most of the variability in Y is associated with residual variation, then X predicts Y.