6.6 - Confidence Intervals & Hypothesis Testing, There is one group: STAT 200 students. For each research question, identify the variables, the parameter of interest and decide on the the appropriate inferential procedure. Hypothesis testing requires that we have a hypothesized parameter. There are two variables here: (1) temperature in Fahrenheit and (2) cups of coffee sold in a day. Inference Methods for Independent Samples, 10. Suppose you read the following statement: The mean value for the intervention group was 29 points lower than for the control group (p-value < 0.05). We are being asked to estimate the strength of the correlation. Log in, 2. Inference Methods for Two Population Proportions, 3. Students in this course should pause here and return to complete the assignment in Canvas. We are not given a specific parameter to test, instead we are asked to estimate "how much" taller males are than females. There are two variables of interest: (1) height in inches and (2) weight in pounds. A Confidence Interval for Population Mean Difference of Matched-Pairs Data, 8. If STAT 200 students are younger than STAT 500 students, that translates to \(\mu_{200}<\mu_{500}\) which is an alternative hypothesis. Method), - Minitab Express: Confidence Interval of a Mean, - Video Example: Age of Pitchers (Summarized Data), - Video Example: Coffee Sales (Data in Column), - Computing Necessary Sample Size, - Video Example: Cookie Weights, - One Sample Mean t Test, Formulas, - Example: Transportation Costs, - Minitab Express: One Sample Mean t Tests, - Minitab Express: 1 Sample Mean t Test, Raw Data, - Minitab Express: 1 Sample Mean t Test, Summarized Data, - One Sample Mean z Test (Optional), - Video Example: Difference in Exam Scores, 8.3.3 - Minitab Express: Paired Means Test, - Video Example: Marriage Age (Summarized Data), - Minitab Express: Confidence Interval for 2 Proportions, - Normal Approximation Method Formulas, - Minitab Express: Difference Between 2 Independent Proportions, - Minitab Express: Confidence Interval Between 2 Independent Means, - Video Example: Mean Difference in Exam Scores, Summarized Data, - Minitab Express: Independent Means t Test, - Video Example: Weight by Treatment, Summarized Data, 10.1 - Introduction to the F Distribution, 10.5 - Video Example: SAT-Math Scores by Award Preference, 10.6 - Video Example: Exam Grade by Professor, 11.1.4 - Conditional Probabilities and Independence, 11.2.1 - Five Step Hypothesis Testing Procedure, - Video: Cupcakes (Equal Proportions), - Roulette Wheel (Different Proportions), 11.2.2 - Minitab Express: Goodness-of-Fit Test, - Video Example: Tulips (Summarized Data, Equal Proportions), - Video Example: Roulette (Summarized Data, Different Proportions), 11.3.1 - Example: Gender and Online Learning, 11.3.2 - Minitab Express: Test of Independence, - Video Example: Dog & Cat Ownership (Raw Data), - Video Example: Coffee and Tea (Summarized Data), Lesson 12: Correlation & Simple Linear Regression, - Video Example: Quiz & Exam Scores, - Example: Temperature & Coffee Sales, - Example: Body Correlation Matrix, 12.3.3 - Minitab Express - Simple Linear Regression, Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris, Duis aute irure dolor in reprehenderit in voluptate, Excepteur sint occaecat cupidatat non proident. Let's start by constructing a 95% confidence interval using the percentile method in StatKey: The 95% confidence interval for the mean body temperature in the population is [98.044, 98.474]. The reason for this is that our null hypothesis assumes that p 1 - p 2 = 0. These two-tailed confidence intervals go hand-in-hand with the two-tailed hypothesis tests we learned in Lesson 5. Odit molestiae mollitia laudantium assumenda nam eaque, excepturi, soluta, perspiciatis cupiditate sapiente, adipisci quaerat odio voluptates consectetur nulla eveniet iure vitae quibusdam?