QUESTION 3 A correlation coefficient of 0.43 represents a positive weak linear correlation. True False
-
Numerous human characteristics are distributed as a skewed curve
True
False
QUESTION 2
-
Assuming a
normal distribution , then 12.5% of scores fall above 1.25 standard deviationTrue
False
QUESTION 3
-
A
correlation coefficient of 0.43 represents a positive weaklinear correlation .True
False
QUESTION 4
-
When we use ϕ (Phi), we assume that at least one variable is ordinal.
True
False
QUESTION 5
-
A correlation coefficient of 0.89 represents a positive strong linear correlation.
True
False
QUESTION 6
-
If a correlation coefficient is close to 1, then the test is unreliable.
True
False
QUESTION 7
-
A correlation coefficient of - 0.51 represents a negative strong linear correlation.
True
False
QUESTION 8
-
If the distribution of paired scores is best represented by a curve, then the relationship is non-linear.
True
False
QUESTION 9
-
As the value of decreases, the proportion of variability decreases.
True
False
QUESTION 10
-
If r = - 0.9, then the coefficient of determination (proportion of variance) =
QUESTION 11
-
If r = - 0.24 between two variables x and y, then the variability of y can be explained in terms of x =
QUESTION 12
-
If r = 0.3, then the coefficient of determination (proportion of variance) =
QUESTION 13
-
If r = - 0.3, then the coefficient of determination (proportion of variance) =
QUESTION 14
-
If r = - 0.92 between two variables x and y, then the variability of y can be explained in terms of x =
QUESTION 15
-
If r = - 0.85 between two variables x and y, then the variability of y can be explained in terms of x =
QUESTION 16
-
In a normal adult population, a blood sugar level has a mean of 12 and a standard deviation of 2.
What standard score would cut off the lowest 6.68% of scores?
QUESTION 17
-
A group of patients has a mean height of 160 cm and a standard deviation of 10 cm.
What score would cut off the highest 50% of scores?
QUESTION 18
-
A group of patients has a mean height of 160 cm and a standard deviation of 10 cm.
The proportion of scores which lie between 154 cm and 167 cm is:
QUESTION 19
-
A group of patients has a mean weight of 78 kg, with a standard deviation of 8 kg. You are told that a patient’s weight is 2 standard deviations below the mean. What is this patient’s weight?
62
86
80
76
QUESTION 20
-
A group of patients has a mean weight of 85 kg, with a standard deviation of 15 kg. You are told that a patient’s weight is three standard deviations below the mean. What is this patient’s weight?
55 kg
130 kg
40 kg
45 kg
QUESTION 21
-
The correlation coefficient appropriate for establishing the degree of association between the two variables ‘Gender’ and the ‘Blood Group’ is
(Eta)
r
(rho)
QUESTION 22
-
If the correlation coefficient between the variables ‘amount of exercise’ and ‘incidence of heart disease’ is – 0.9, which of the following statements is true?.
90% of ‘ incidence of heart disease’ scores are explained in terms of ‘amount of exercise’ scores.
81% of ‘incidence of heart disease’ scores are explained in terms of ‘amount of exercise’ scores.
81% of ‘amount of exercise’ scores are explained in terms of ‘incidence of heart disease’ scores.
90% of ‘amount of exercise’ scores are explained in terms of ‘incidence of heart disease’ scores.
QUESTION 23
-
It was demonstrated a correlation of – 0.87 between body weight and IQ. This means that:
People with low IQs are likely to be overweight.
Heavy people have higher IQs than light people.
Obesity decreases intelligence.
Light people have lower IQs than heavy people.
QUESTION 24
-
Which of the following statements is false?
Spearman’s () is used when one or both variables are at least nominal.
A correlation of r = - 0.75 implies a stronger association than r = 0.64.
In a perfect
positive correlation , each individual obtains the same z score on each variable.The
range of the correlation coefficient is from – 1 to 1.
QUESTION 25
-
We find that the correlation coefficient representing the outcome for the predictive validity of a test is r = 0.57. Such finding would indicate that the test had:
High predictive validity.
Acceptable predictive validity.
Low predictive validity.
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