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A teacher sees students straggling into her class at highly diverse times.  She secretly records when each person comes into her class. Everyone in the class at the bell gets a score of zero.  Then, as each late person comes in, the number of seconds after the bell that the person arrives is recorded. Number of seconds late, then, is each person's individual score. The scores ranged from 0 to 600 (for people who were 10 minutes late).  The teacher also has each person's exam average over the semester. She wants some estimate of the degree of relationship between a person's lateness and his or her exam scores in her class.  Which statistic should she use?   a. Z-test   b. One Sample t-test   c. Independent groups t-test   d. Dependent groups t-test   e. One Factor ANOVA   f. Two factor ANOVA   g. t-test for r > 0   h. Chi-square test   i. Phi Coefficient   j. Cramer’s Phi   k. Point Biserial r   L. Eta-squared   m. r-squared or r

A teacher sees students straggling into her class at highly diverse times.  She secretly records when each person comes into her class. Everyone in the class at the bell gets a score of zero.  Then, as each late person comes in, the number of seconds after the bell that the person arrives is recorded. Number of seconds late, then, is each person's individual score. The scores ranged from 0 to 600 (for people who were 10 minutes late).  The teacher also has each person's exam average over the semester. She wants some estimate of the degree of relationship between a person's lateness and his or her exam scores in her class.  Which statistic should she use?   a. Z-test   b. One Sample t-test   c. Independent groups t-test   d. Dependent groups t-test   e. One Factor ANOVA   f. Two factor ANOVA   g. t-test for r > 0   h. Chi-square test   i. Phi Coefficient   j. Cramer’s Phi   k. Point Biserial r   L. Eta-squared   m. r-squared or r

Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.4: Applications
Problem 28EQ
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A teacher sees students straggling into her class at highly diverse times.  She secretly records when each person comes into her class. Everyone in the class at the bell gets a score of zero.  Then, as each late person comes in, the number of seconds after the bell that the person arrives is recorded. Number of seconds late, then, is each person's individual score. The scores ranged from 0 to 600 (for people who were 10 minutes late).  The teacher also has each person's exam average over the semester. She wants some estimate of the degree of relationship between a person's lateness and his or her exam scores in her class.  Which statistic should she use?
  a.
Z-test
  b.
One Sample t-test
  c.
Independent groups t-test
  d.
Dependent groups t-test
  e.
One Factor ANOVA
  f.
Two factor ANOVA
  g.
t-test for r > 0
  h.
Chi-square test
  i.
Phi Coefficient
  j.
Cramer’s Phi
  k.
Point Biserial r
  L.
Eta-squared
  m.
r-squared or r
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