Yolanda wishes to develop a new type of meatloaf to sell at her restaurant. She decides to combine 2 pounds of ground sirloin (cost \$2.70 per pound), 1 pound of ground turkey (cost \$1.30 per pound), and 12\frac{1}{2}21 pound of ground pork (cost \$1.80 per pound). What is the cost per pound of the meatloaf?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
3. Describing Data Numerically
Mean
Problem 3.Re.6a
Textbook Question
Travel Time to Work The frequency distribution listed in the table represents the travel time to work (in minutes) for a random sample of 895 U.S. adults.
a. Approximate the mean travel time to work for U.S. adults.

Verified step by step guidance1
Identify the midpoint of each travel time interval. The midpoint is found by averaging the lower and upper bounds of each interval. For example, for the interval 0–9, the midpoint is \(\frac{0 + 9}{2} = 4.5\) minutes.
Multiply each midpoint by the corresponding frequency to find the total travel time contribution for each interval. This means calculating \(\text{midpoint} \times \text{frequency}\) for each row.
Sum all the products obtained in the previous step to get the total combined travel time for all 895 adults.
Sum all the frequencies to confirm the total number of observations, which should be 895 in this case.
Calculate the approximate mean travel time by dividing the total combined travel time by the total number of observations using the formula: \(\text{Mean} = \frac{\sum (\text{midpoint} \times \text{frequency})}{\sum \text{frequency}}\).
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Grouped Frequency Distribution
A grouped frequency distribution organizes data into intervals (or classes) and shows the number of observations within each interval. It helps summarize large data sets and is essential for estimating measures like the mean when individual data points are unavailable.
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Midpoint of Class Intervals
The midpoint of a class interval is the value halfway between the lower and upper boundaries of the interval. It is used as a representative value for all data points in that interval when calculating approximate statistics such as the mean.
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Approximate Mean from Grouped Data
To approximate the mean from grouped data, multiply each class midpoint by its frequency, sum these products, and divide by the total number of observations. This weighted average provides an estimate of the central tendency when raw data is grouped.
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