Chapter 2: Q2.9 (page 40)
Short Answer
A) Quantitative Ordinal Variable
B) Qualitative Categorical Variable
C) Quantitative Discrete Variable
Chapter 2: Q2.9 (page 40)
A) Quantitative Ordinal Variable
B) Qualitative Categorical Variable
C) Quantitative Discrete Variable
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Get started for freeP-Values In Exercises 13–16, write a statement that interprets the P-value and includes a conclusion about linear correlation.
Using the data from Exercise 6 “Bear Measurements,” the P-value is 0.000.
Normal Distributions. In Exercises 9 and 10, using a loose interpretation of the criteria for determining whether a frequency distribution is approximately a normal distribution, determine whether the given frequency distribution is approximately a normal distribution. Give a brief explanation.
Best Actors Refer to the frequency distribution from Exercise 6
Heights Heights of adult males are normally distributed. If a large sample of heights of adult males is randomly selected and the heights are illustrated in a histogram, what is the shape of that histogram?
Relative frequency distribution use percentages to construct the relative frequency distribution corresponding to the accompanying frequency distribution for McDonald’s dinner service times.
Scatterplot. In Exercises 5–8, use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation?
Car Weight and Fuel Consumption The table lists weights (pounds) and highway fuel consumption amounts (mpg) for a Hyundai Elantra, Nissan Altima, VW Passat, Buick Lucerne, Mercury Grand Marquis, Honda Civic, and Honda Accord.
Weight (lb) | 2895 | 3215 | 3465 | 4095 | 4180 |
Highway (mpg) | 33 | 31 | 29 | 25 | 24 |
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