# STAT 218: Introduction to Statistics

### School: University of Nebraska Lincoln

Number of Notes and Study Guides Available: 2

### Videos

##### Analyzing Student Homework Times: Quartiles & Data Insights

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Examine a dataset that tracks student homework durations. Understand quartiles, the interquartile range, and skewness in the data. Discover insights into typical study durations and outlier behaviors.

##### Chi-Square Observations: Probability of Exceeding 7.779

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Discover how to compute the likelihood of observations exceeding a certain value in a chi-square distribution with 4 degrees of freedom. Using the binomial distribution formula, evaluate the chances of at most 3 out of 15 observations surpassing the 7.779 mark. Results highlight the intricacies of data distributions.

##### Young Adults' TV Habits: Decoding Mean and Probability

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Discover how to determine the probability and mean of young adults watching TV in a week. Using provided data, we compare the sample mean with the calculated population mean to interpret expected TV viewing habits.

##### Battery Lifetimes: Mean, Variance & Standard Deviation

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Discover the nuances of analyzing battery lifetime data through mean, variance, and standard deviation computations. Using class boundaries, midpoints, and frequencies, gain insights into the dispersion of battery lifespans and the average deviation from the mean.

##### Analyzing Voter Demographics: Independence & Exclusivity

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Analyze the relationships between different political affiliations and age groups. Determine whether certain events are independent, mutually exclusive, or neither, based on the provided probabilities. The findings offer a nuanced understanding of voter demographics and their interdependencies.

##### Estimating Study Hours: A 99% Confidence Method"

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Explore how a university dean estimates freshmen study hours using statistical methods. Understand the importance of z-scores, confidence levels, and sample sizes in making accurate predictions. Learn how to ensure results are within a desired error margin.