This document contains a 10 question quiz on statistics concepts for the BUS 308 course. The questions cover topics such as the definitions of statistics, parameters, and measures of variability. They also address properties of the normal distribution as well as concepts like z-scores and probability. The quiz is assessing students' understanding of foundational statistical terminology introduced in the course textbook.

1. BUS 308 Week 1 Quiz
1. Technically, “statistic” refers to which?
A sample characteristic
A measure of variability
A population characteristic
A particular scale of data
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2. The tails of a normal distribution never touch the abscissa.
True
False
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3. The z-score indicates where an individual data value lies within the data set.
True
False
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4. Which statement explains what inferential statistical analysis is? @Answer found in section 1.4
Describing or Inferring?, in Statistics for Managers
The process of describing the sample.
Understanding the population through the sample.
The accumulation of population characteristics.
Comparing dissimilar samples.
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5. A parameter refers to a sample characteristic.
True
False
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6 In statistical notation, M is to μ as s is to σ.
True
False
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7. Which of the following defines standard deviation?
The difference between the highest and lowest values.
The arithmetic average of a set of values.
The average difference between a set of values and the mean.
The average of the highest and lowest values in a set.
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8. Which of the following is NOT a measure of variability? @Answer found in section 1.5 Descriptive
Statistics, in Statistics for Managers
The standard deviation
The range
The variance
The median

2. http://entirecourse.com/course/BUS-308-Statistics-For-Managers/BUS-308-Week-1-Quiz
9. In a frequency distribution such as a bell-shaped curve, what does the vertical height of the curve
indicate?
The different score values
The frequency of score occurrence
The probability of score occurrence
The normality of the distribution
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10. A probability is found by dividing the number of possible outcomes (o) by the number of successes
€ = o/e.
True
False
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