Exploring One–Variable Data
Which of the following statements about relative frequency tables is true?
The sum of the relative frequencies is always 1.
The sum of the relative frequencies is always greater than 1.
The sum of the relative frequencies is always less than 1.
The sum of the relative frequencies can be any value.
What statistical approach should be utilized to determine whether city district is independent of restaurant type preferences as displayed in a cross-tabulation when no specific pattern is hypothesized?
Cochran-Mantel-Haenszel Test Holding Another Variable Constant
Fisher's Exact Test Given The Small Sample Size
Chi-Square Test For Independence
Z-Test For Comparing Proportions Across Districts
If an analysis involves several responses per subject across different treatment conditions in order to compare response rates among treatments what appropriate design should statisticians consider?
Independent Samples T-test
Multivariate Analysis Of Covariance
Repeated Measures Loglinear Model
Simple Linear Regression
What is the purpose of organizing data into tables and graphical displays?
To simplify the data collection process
To make the data visually attractive
To create summaries of the data
To highlight essential features of the data
What is the purpose of using relative frequencies in data analysis?
To compare data values to a reference value
To understand the proportion of each category in relation to the total
To identify outliers in the data
To calculate the median of the data set
What does a frequency table display?
The average value for each category in the data set.
The ratio of one category's frequency to another category's frequency.
The differences between the highest and lowest values in each category.
The number of times each category occurs in the data set.
When summarizing survey results involving one categorical variable, what should you use to show proportions for all categories?
Pie chart
Stem-and-leaf plot
Line graph
Time plot

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What impact does increasing sample size have when creating frequency tables for categorical data concerning student transportation methods to school?
It often eliminates outliers and anomalies from data representation completely.
It can provide more reliable insights into actual transportation trends among students.
It makes it possible to use pie charts instead of frequency tables.
It decreases overall accuracy since there could be more recording errors.
If a frequency table of favorite ice cream flavors has "chocolate" as the mode, what is the implication regarding its probability of being selected in a single random sampling?
All flavors have an equal probability of being chosen.
It cannot be determined without knowing all probabilities.
It has the highest probability of being chosen.
It has the lowest probability of being chosen.
Which of the following statements about relative frequency tables is correct?
The percentages in a relative frequency table are obtained by multiplying the frequencies by 100.
The relative frequency table provides the actual counts for each category.
The sum of the relative frequencies in a relative frequency table is always 100
The relative frequency table is used to display qualitative data only