Chapter 2 Review
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C. 0.25
Compute the relative frequency for students who earned an A shown in the table of grades below. Grades Number of Students A 10 B 31 C 36 D 6 83 A. 0.12 B. 0.10 C. 0.83 D. Not enough information
A. 0.12
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A. 1
The College Board originally scaled SAT scores so that the scores for each section were approximately normally distributed with a mean of 500 and a standard deviation of 100. Assuming scores follow a bell-shaped distribution, use the empirical rule to find the percentage of students who scored less than 400. A. 16% B. 68% C. 84% D. 32%
A. 16%
The __________ is a point estimate of the population mean for the variable of interest. A. Sample Mean B. Median C. Sample D. Geometric Mean
A. Sample Mean
In a(n) __________, one or more variables are identified and controlled or manipulated so that data can be obtained about how they influence the variable of interest identified first. A. experimental study B. decision analysis. C. categorical study D. variable study
A. experimental study
A summary of data that shows the number of observations in each of several nonoverlapping bins is called a(n) A. frequency distribution. B. sample summary. C. bin distribution. D. observed distribution.
A. frequency distribution.
Any data value with a z-score less than -3 or greater than +3 is considered to be a(n) A. outlier. B. statistic. C. whisker. D. z-score value.
A. outlier.
The act of collecting data that are representative of the population data is called A. random sampling. B. sample data. C. population sampling. D. sources of data.
A. random sampling.
A quantity of interest that can take on different values is known as a(n) A. variable. B. parameter. C. sample. D. observation.
A. variable
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B. 1
Compute the geometric mean for the following data on growth factors of an investment for 10 years. 1.10, 0.50, 0.70, 1.21, 1.25, 1.12, 1.16, 1.11, 1.13, 1.22 A. 1.0221 B. 1.0148 C. 1.0363 D. 1.1475
B. 1.0148
When working with data sets in Excel, __________ can be used to automatically highlight cells that meet specified requirements. A. averaging B. conditional formatting C. summing D. sorting
B. conditional formatting
A __________ is a graphical summary of data previously summarized in a frequency distribution. A. box plot B. histogram C. line chart D. scatter chart
B. histogram
When working with large spreadsheets with many rows of data, it can be helpful to __________ the data to better find, view, or manage subsets of data. A. split B. sort and filter C. chart D. manupulate
B. sort and filter
If covariance between two variables is near 0, it implies that A. a positive relationship exists between the variables. B. the variables are not linearly related C. the variables are negatively related. D. the variables are strongly related.
B. the variables are not linearly related
Data collected from several entities over a period of time (minutes, hours, days, etc.) are called A. categorical and quantitative data. B. time series data. C. source data. D. cross-sectional data.
B. time series data.
The difference in a variable measured over observations (time, customers, items, etc.) is known as A. observed differences. B. variation. C. variable change. D. descriptive analytics.
B. variation.
A __________ determines how far a particular value is from the mean relative to the data set's standard deviation. A. coefficient of variation B. z-score C. variance D. percentile
B. z-score
The College Board originally scaled SAT scores so that the scores for each section were approximately normally distributed with a mean of 500 and a standard deviation of 100. Assuming scores follow a bell-shaped distribution, use the empirical rule to find the percentage of students who scored greater than 700. A. 97.5% B. 95% C. 2.5% D. 5%
C. 2.5%
The College Board reported that the mean Math Level 2 SAT subject test score was 686 with a standard deviation of 96. Assuming scores follow a bell-shaped distribution, use the empirical rule to find the percentage of students who scored less than 494. A. 97.5% B. 95% C. 2.5% D. 5%
C. 2.5%
For data having a bell-shaped distribution, approximately __________ percent of the data values will be within one standard deviation of the mean. A. 95 B. 66 C. 68 D. 97
C. 68
_______________ acts as a representative of the population. A. The variable B. The variance C. A sample D. A random variable
C. A sample
__________ are collected from several entities at the same point in time. A. Time series data B. Categorical and quantitative data C. Cross-sectional data D. Random data
C. Cross-sectional data
Which of the following gives the proportion of items in each bin? A. Frequency B. Class size C. Relative frequency D. Bin proportion
C. Relative frequency
The correlation coefficient will always take values A. greater than 0. B. between -1 and 0. C. between -1 and +1. D. less than -1.
C. between -1 and +1.
The variance is based on the A. deviation about the median. B. number of variables. C. deviation about the mean. D. correlation in the data.
C. deviation about the mean.
The letter grades (A, B, C, D, F) of business analysis students are recorded by a professor. This variable's classification A. is quantitative data. B. cannot be determined. C. is categorical data D. is time series data.
C. is categorical data
Scores on Ms. Nash's test have a mean of 64 and a standard deviation of 9. Steve has a score of 52. Convert Steve's score to a z-score. (Round to two decimal places if necessary.) A. 1.33 B. 58.2 C. -2 D. -1.33
D. -1.33
Compute the relative frequencies for the data given in the table below: Grades Number of students A 16 B 28 C 33 D 13 Total 90 A. 0.31, 0.14, 0.37, 0.18 B. 0.37, 0.14, 0.31, 0.18 C. 0.16, 0.28, 0.33, 0.13 D. 0.18, 0.31, 0.37, 0.14
D. 0.18, 0.31, 0.37, 0.14
Which of the following graphs provides information on outliers and IQR of a data set? A. Histogram B. Line chart C Scatter chart D. Box plot
D. Box plot
The amount of time taken by each of 10 students in a class to complete an exam is an example of what type of data? A. Cannot be determined B. Categorical data C. Time series data D. Quantitative data
D. Quantitative data
Identify the shape of the distribution in the figure below. (bar chart with colums .2, .3, .2, .15, .10, .05, .02 A. Skewed lef B. Symmetric C. Approximately bell shaped D. Skewed right
D. Skewed right
A set of values corresponding to a set of variables is defined as a(n) A. quantity. B. event. C. factor. D. observation.
D. observation
The data collected from the customers in restaurants about the quality of food is an example of a(n) A. variable study. B. cross-sectional study. C. experimental study. D. observational study.
D. observational study.
The simplest measure of variability is the A. variance. B. standard deviation. C. coefficient of variation. D. range
D. range