Which Car Would You Buy? Suppose that you are in the market to purchase a car. You have narrowed it down to two choices and will let gas mileage be the deciding factor. You decide to conduct a little experiment in which you put 10 gallons of gas in the car and drive it on a closed track until it runs out gas. You conduct this experiment 15 times on each car and record the number of miles driven. Describe each data set. That is, determine the shape, center, and spread. Which car would you buy and why?
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 10.2B.32c
Textbook Question
"Putting It Together: Lupus Based on historical birthing records, the proportion of males born worldwide is 0.51. In other words, the commonly held belief that boys are just as likely as girls is false. Systematic lupus erythematosus (SLE), or lupus for short, is a disease in which one’s immune system attacks healthy cells and tissue by mistake. It is well known that lupus tends to exist more in females than in males. Researchers wondered, however, if families with a child who had lupus had a lower ratio of males to females than the general population. If this were true, it would suggest that something happens during conception that causes males to be conceived at a lower rate when the SLE gene is present. To determine if this hypothesis is true, the researchers obtained records of families with a child who had SLE. A total of 23 males and 79 females were found to have SLE. The 23 males with SLE had a total of 23 male siblings and 22 female siblings. The 79 females with SLE had a total of 69 male siblings and 80 female siblings.
c. There are a total of 23+69=92 male siblings in the study. How many female siblings are in the study?
Verified step by step guidance1
Identify the number of female siblings for each group: the 23 males with SLE and the 79 females with SLE.
From the problem, the 23 males with SLE have 22 female siblings.
The 79 females with SLE have 80 female siblings.
Add the female siblings from both groups together to find the total number of female siblings: \$22 + 80$.
This sum gives the total number of female siblings in the study.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Basic Arithmetic and Data Summation
Understanding how to sum quantities correctly is essential for analyzing data sets. In this question, adding the number of male siblings from different groups helps find the total male siblings. Similarly, summing female siblings requires combining counts from multiple categories to get an overall total.
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Categorical Data Organization
Data is often grouped by categories such as gender or disease status. Recognizing how data is organized—like siblings of males with SLE versus siblings of females with SLE—helps in correctly interpreting and combining the numbers for analysis.
Recommended video:
Introduction to Collecting Data
Contextual Understanding of the Problem
Grasping the biological and research context, such as the sex ratio and its relation to lupus, is important to understand why the data is collected and what the question aims to find. This helps in focusing on relevant data points and interpreting results meaningfully.
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