Exam 3: A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics
Exam 1: Introduction: Statistics--Who Needs Them50 Questions
Exam 2: Types of Data53 Questions
Exam 3: A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics78 Questions
Exam 4: Measures of Central Tendency: Whats so Average About the Mean58 Questions
Exam 5: Variability: the Law of Life53 Questions
Exam 6: Where Am I Normal Distributions and Standard Scores50 Questions
Exam 7: Basic Probability Theory51 Questions
Exam 8: The Central Limit Theorem and Hypothesis Testing46 Questions
Exam 9: The Z-Test52 Questions
Exam 10: The T-Test51 Questions
Exam 11: Analysis of Variance51 Questions
Exam 12: Confidence Intervals and Effect Size: Building a Better Mousetrap56 Questions
Exam 13: Correlation and Regression: Are We Related59 Questions
Exam 14: The Chi-Square Test53 Questions
Exam 15: Non-Parametric Tests58 Questions
Exam 16: Which Test Should I Use and Why50 Questions
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When you have continuous data, there can be an infinite number of points between two adjacent data values
(True/False)
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GPA Frequency 2.5 12 2.6 11 2.7 15 2.8 9 2.9 3 3 28 3.1 48 3.2 31 3.3 29 3.4 43 3.5 31 3.6 27 3.7 11 3.8 15 3.9 8 4 1 Approximately how many individuals have GPAs 3.8 or higher?
(Short Answer)
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Using the data below about how many airline miles each participant accrued over the span of the year
No. of miles f 0-4999 241 5000-9999 452 10000-14999 540 15000-19999 869 20000-24999 823 25000-29999 972 30000-34999 1004 35000-39999 1138 40000-44999 1034 45000-49999 1497 50000-54999 1429 55000-59999 1471 60000-64999 1365 65000-69999 1372 70000-74999 1241 75000-79999 821 80000-84999 624 85000-89999 246 90000-94999 168 95000-99999 34 Would a bar chart or a frequency histogram is best for visualizing this data?
(Short Answer)
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Frequency polygons are best used when the data are _____________________.
(Multiple Choice)
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For each scenario, identify the best type of visualization for the data
Having two groups: Experimental and Placebo in a drug trial. A researcher wants to plot mean differences in the number of days it took for the patient to recover.
(Short Answer)
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A frequency polygon is most similar to which of the following data visualizations methods?
(Multiple Choice)
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Which of the following is most similar to a frequency polygon, with regards to the type of data that it plots and the way it is interpreted?
(Multiple Choice)
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Use the following stem and leaf-plot to answer the next few questions. The data plots the temperature of the day when there were earthquakes in the last 5 years.
How many observations were there?
(Short Answer)
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Which of the following is usually not an example of discrete data?
(Multiple Choice)
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Below are some data about whether a sample of individuals knows how to ride a bicycle
Participant ID Yes or No 1 Yes 2 Yes 3 No 4 No 5 Yes 6 No 7 Yes 8 Yes 9 Yes 10 No 11 Yes 12 No 13 No 14 No 15 Yes What type of chart did you construct for the question above?
(Short Answer)
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Explain the difference between a frequency histogram and a bar chart. What data are they each best used for and give an example of how they are used.
(Essay)
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Below are some data about whether a sample of individuals knows how to ride a bicycle
Participant ID Yes or No 1 Yes 2 Yes 3 No 4 No 5 Yes 6 No 7 Yes 8 Yes 9 Yes 10 No 11 Yes 12 No 13 No 14 No 15 Yes Is this data continuous or discrete?
(Short Answer)
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Frequency polygons are like histograms, except used for discrete data.
(True/False)
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Using the data below about how many airline miles each participant accrued over the span of the year
No. of miles f 0-4999 241 5000-9999 452 10000-14999 540 15000-19999 869 20000-24999 823 25000-29999 972 30000-34999 1004 35000-39999 1138 40000-44999 1034 45000-49999 1497 50000-54999 1429 55000-59999 1471 60000-64999 1365 65000-69999 1372 70000-74999 1241 75000-79999 821 80000-84999 624 85000-89999 246 90000-94999 168 95000-99999 34 how many people in this data set flew between 20000 and 59999 miles in the last year?
(Short Answer)
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Using the data below about how many airline miles each participant accrued over the span of the year
No. of miles f 0-4999 241 5000-9999 452 10000-14999 540 15000-19999 869 20000-24999 823 25000-29999 972 30000-34999 1004 35000-39999 1138 40000-44999 1034 45000-49999 1497 50000-54999 1429 55000-59999 1471 60000-64999 1365 65000-69999 1372 70000-74999 1241 75000-79999 821 80000-84999 624 85000-89999 246 90000-94999 168 95000-99999 34 How may people in this data set flew 70,000 or more miles in the last year?
(Short Answer)
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