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LER593_Exam 1 Review_Fall 2023 Flashcards | StudBud
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LER593_Exam 1 Review_Fall 2023
LER593_Exam 1 Review_Fall 2023
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Answers
1
The uniform, normal, and exponential distributions are
all the same distributions
all discrete probability distributions
can be either continuous or discrete, depending on the data
all continuous probability distributions
2
When data are negatively skewed, the mean will usually be
equal to the median
greater than the median
positive
smaller than the median
3
A population has μ = 50 and σ = 5. If every score is multiplied by 2, then what are the new values for the mean and SD?
100,10
52,10
52, 7
100,7
4
10 out of 17 students in our class prefer dogs. I conclude 10/17 of ALL UIUC students prefer dogs. This is an example of
a population
a sample
statistical inference
data and statistics
5
For any continuous random variable, the probability that the random variable takes on exactly a specific value is
1
almost zero
any value between 0 and 1
0.5
6
Z-transformation can transform any distribution to a normal distribution.
True
False
7
The best way to draw cause-and-effect relationships between two variables is via experimental method.
True
False
8
The mean age of 190 students at UIUC is 22. Based on this info, we conclude that the mean age of all students at UIUC
could be larger, smaller, or equal to 22
must be less than 22, since the sample is only a part of the population
must be more than 22, since the population is always larger than the sample
could not be 22
9
Under a normal distribution, approximately how many values are within the +1/-1 SD from the mean?
68%
75%
60%
72%
10
The center of a normal distribution …
is the standard deviation
is the mean of the distribution
cannot be negative
always equal to zero
11
The ordinal scale of measurement has the properties of the
interval scale
ratio and interval scale
ratio scale
nominal scale
12
Social security numbers consist of numeric values. Therefore, social security is an example of
an exchange variable
a categorical variable
either a continuous or a categorical variable
a continuous variable
13
The variance of a sample of 169 observations equals 576. The standard deviation of the sample equals
13
576
28461
24
14
Larger values of SD results in a normal distribution curve to be wider and flatter
False
True
15
The total area under a continuous probability distribution curve always equals 1
True
False
16
Exponential probability distribution is a type of discrete probability distribution.
True
False
17
Income is an example of a variable that uses the
ratio scale
interval scale
ordinal
nominal scale
18
In a standard normal distribution, the probability that Z is greater than zero is
at least 0.5
1
1.96
0.5
19
A reliable scale is always valid
True
False
20
1. The symbol σ is used to represent
the standard deviation of the population
the standard deviation of the sample
the variance of the sample
the variance of the population
21
The shape of a normal distribution is determined by its mean and standard deviation only.
False
True
22
The distribution of students' scores on a VERY easy exam is likely to be positively skewed
False
True
23
The numerical value of the standard deviation can never be
smaller than the variance
zero
larger than the variance
negative
24
For any normal distribution, its mean, mode, and median have the exactly same value.
True
False
25
The mean for a sample of 5 scores is 8. I add another one with a score of 20. What is the mean for the new sample(n=6)?
5
4
10
20
26
Which of the following is NOT
a characteristic of the normal probability distribution?
The distribution is symmetrical
The standard deviation must be 1
The mean of the distribution can be negative, zero, or positive
The mean, median, and the mode are equal
27
Sometimes HR researchers use multiple survey items to measure one variable (e.g., jot satisfaction) to increase the
Validity
Reliability
Credibility
Precision
28
In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an example of the
ratio scale
ordinal scale
interval scale
nominal scale
29
The measure of variability that is influenced most by extreme values is
the interquartile range
the range
the variance
a.
30
1. Population mean is an example of inferential statistics.
True
False