# STAT 1600: Discovery with Data

### School: Western Michigan University

Number of Notes and Study Guides Available: 4

### Videos

##### Analyzing Movie Habits Survey: Uncovering Hidden Biases

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Unpack the potential biases in a survey about movie-watching habits based on its design and constraints. Learn how limiting to residential phones and specific time frames can affect results. Recommendations are made to ensure a broader, more accurate perspective.

##### Comparing Ages: Slot Machine vs. Roulette Players

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Examine the mean ages between two distinct groups: slot machine players and roulette enthusiasts. Utilizing the independent sample t-test, evaluate if there's a significant age difference between the two groups. The findings offer a nuanced understanding of player demographics in gaming environments.

##### Buteyko Breathing's Impact on Asthma: A Study Analysis

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In this video, we examine the Buteyko method's impact on asthma symptoms using a study of 600 patients. Participants were divided into two groups, one practicing the technique and the other not. The Buteyko group showed significant improvement in life quality and symptom reduction.

##### Confidence Intervals for Bag Weights: A Statistical Guide

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Understand the process of determining the 94.26% confidence interval for the median weight of "80-pound" bags of water softener pellets using a standard normal table and specified formulas. Additionally, explore the steps to deduce a confidence level of 90.47%.

##### 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.

##### Testing the Claim: Is Soft Drink Consumption Really 52 Gallons?

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Discover the process of using a one-sample t-test to validate a claim about average soft drink consumption. By calculating the test statistic and analyzing the corresponding P-value, we determine the validity of the researcher's assertion.