Textbook Question
Interpreting Normal Quantile Plots Which of the following normal quantile plots appear to represent data from a population having a normal distribution? Explain.
204
views
Ch. 2 - Exploring Data with Tables and Graphs
Triola14th EditionElementary StatisticsISBN: 9780137366446
Not the one you use?Change textbookSelect a different textbook
Table of contents
- Ch. 1 - Introduction to Statistics88
- Ch. 2 - Exploring Data with Tables and Graphs70
- Ch. 3 - Describing, Exploring, and Comparing Data66
- Ch. 4 - Probability112
- Ch. 5 - Discrete Probability Distributions109
- Ch. 6 - Normal Probability Distributions122
- Ch. 7 - Estimating Parameters and Determining Sample Sizes107
- Ch. 8 - Hypothesis Testing75
- Ch. 9 - Inferences from Two Samples94
- Ch. 10 - Correlation and Regression80
- Ch. 11 - Goodness-of-Fit and Contingency Tables29
- Ch. 12 - Analysis of Variance42
Chapter 2, Problem 2.4.4d
Estimating r For each of the following, estimate the value of the linear correlation coefficient r for the given paired data obtained from 50 randomly selected adults.
d. The 50 adults all drove cars from Jacksonville, Florida, to Richmond, Virginia. Their average (mean) speeds are recorded along with the times it took to complete that trip.
Verified step by step guidance1
Understand the problem: The goal is to estimate the linear correlation coefficient (r), which measures the strength and direction of the linear relationship between two variables. Here, the variables are the average speeds of the cars and the times it took to complete the trip.
Recall the properties of the correlation coefficient (r): It ranges from -1 to 1. A value close to -1 indicates a strong negative linear relationship, a value close to 1 indicates a strong positive linear relationship, and a value near 0 indicates no linear relationship.
Analyze the relationship between the variables: As the average speed increases, the time taken to complete the trip is expected to decrease. This suggests a negative linear relationship between speed and time.
Visualize the data: If possible, create a scatterplot of the data points with average speed on the x-axis and time on the y-axis. Look for a downward trend in the points, which would confirm a negative correlation.
Estimate the value of r: Based on the observed trend in the scatterplot or the relationship described, estimate r as a negative value closer to -1 if the points form a strong linear pattern, or closer to 0 if the pattern is weak or scattered.
Verified video answer for a similar problem:
This video solution was recommended by our tutors as helpful for the problem above.
Video duration:
2mWas this helpful?
Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Linear Correlation Coefficient (r)
The linear correlation coefficient, denoted as r, quantifies the strength and direction of a linear relationship between two variables. Its value ranges from -1 to 1, where 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. Understanding r is crucial for interpreting how changes in one variable may relate to changes in another.
Recommended video:
Guided course
05:43
Correlation Coefficient
Mean Speed and Time Relationship
In the context of the given data, the mean speed of the cars and the time taken for the trip are two variables that can be analyzed for correlation. Typically, as speed increases, the time taken to complete a trip decreases, suggesting a negative correlation. Analyzing this relationship helps in understanding how these two factors interact in real-world scenarios.
Recommended video:
04:36Time-Series Graphs Example 1
Random Sampling
Random sampling is a technique used to select a subset of individuals from a larger population, ensuring that every individual has an equal chance of being chosen. This method is essential for obtaining unbiased data, which enhances the validity of statistical analyses. In this case, the 50 randomly selected adults provide a representative sample for estimating the correlation between speed and time.
Recommended video:
05:11Sampling Distribution of Sample Proportion
Related Practice
Textbook Question
In Exercises 1–5, use the data listed in the margin, which are magnitudes (Richter scale) and depths (km) of earthquakes from Data Set 24 “Earthquakes” in Appendix B
[Image]
Frequency Distribution For the frequency distribution from Exercise 1, find the following.
a. Class limits of the first class
b. Class boundaries of the first class
c. Class midpoint of the first class
162
views
Textbook Question
In Exercises 1–5, use the data listed in the margin, which are magnitudes (Richter scale) and depths (km) of earthquakes from Data Set 24 “Earthquakes” in Appendix B
Frequency Distribution Construct a frequency distribution of the magnitudes. Use a class width of 0.50 and use a starting value of 1.00.
107
views
Textbook Question
In Exercises 1–5, use the data listed in the margin, which are magnitudes (Richter scale) and depths (km) of earthquakes from Data Set 24 “Earthquakes” in Appendix B
Histogram Construct the histogram corresponding to the frequency distribution from Exercise 1. For the values on the horizontal axis, use the class midpoint values. Which of the following comes closest to describing the distribution: uniform, normal, skewed left, skewed right?
113
views
Textbook Question
Tornado Alley Using the same frequency distribution from Exercise 1, identify the class limits of the first class and the class boundaries of the first class.
142
views
Textbook Question
Tornado Alley Construct the relative frequency distribution corresponding to the frequency distribution in Exercise 1
146
views