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5.3: The Uniform Distribution
https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/05%3A_Continuous_Random_Variables/5.03%3A_The_Uniform_Distribution
The amount of time, in minutes, that a person must wait for a bus is uniformly distributed between zero and 15 minutes, inclusive. Let $X$ = the number of minutes a person must wait for a bus. \(a =...The amount of time, in minutes, that a person must wait for a bus is uniformly distributed between zero and 15 minutes, inclusive. Let $X$ = the number of minutes a person must wait for a bus. $a = 0$ and $b = 15$ . $X \sim U(0, 15)$ . The total duration of baseball games in the major league in the 2011 season is uniformly distributed between 447 hours and 521 hours inclusive. What is the probability that the duration of games for a team for the 2011 season is between 480 and 500 hours?
6.6: The Normal Distribution (Exercises)
https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/06%3A_The_Normal_Distribution/6.6%3A_The_Normal_Distribution_(Exercises)
These are homework exercises to accompany the Textmap created for "Introductory Statistics" by OpenStax.
7.7: The Central Limit Theorem (Exercises)
https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/07%3A_The_Central_Limit_Theorem/7.7%3A_The_Central_Limit_Theorem_(Exercises)
These are homework exercises to accompany the Textmap created for "Introductory Statistics" by OpenStax. Complementary General Chemistry question banks can be found for other Textmaps and can be acces...These are homework exercises to accompany the Textmap created for "Introductory Statistics" by OpenStax. Complementary General Chemistry question banks can be found for other Textmaps and can be accessed here. In addition to these publicly available questions, access to private problems bank for use in exams and homework is available to faculty only on an individual basis; please contact Delmar Larsen for an account with access permission.
12.3: Scatter Plots
https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/12%3A_Linear_Regression_and_Correlation/12.03%3A_Scatter_Plots
A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either: High values of one variable occurring with high values of the other variabl...A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either: High values of one variable occurring with high values of the other variable or low values of one variable occurring with low values of the other variable. High values of one variable occurring with low values of the other variable.
10.2: Two Population Means with Unknown Standard Deviations
https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/10%3A_Hypothesis_Testing_with_Two_Samples/10.2%3A_Two_Population_Means_with_Unknown_Standard_Deviations
The comparison of two population means is very common. A difference between the two samples depends on both the means and the standard deviations. Very different means can occur by chance if there is ...The comparison of two population means is very common. A difference between the two samples depends on both the means and the standard deviations. Very different means can occur by chance if there is great variation among the individual samples.
7.6: Central Limit Theorem - Cookie Recipes (Worksheet)
https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/07%3A_The_Central_Limit_Theorem/7.6%3A_Central_Limit_Theorem_-_Cookie_Recipes_(Worksheet)
A statistics Worksheet: The student will demonstrate and compare properties of the central limit theorem.
3.10: Power Functions and Polynomial Functions
https://stats.libretexts.org/Under_Construction/Purgatory/Finite_Mathematics_-_Spring_2023/03%3A_Functions/3.10%3A_Power_Functions_and_Polynomial_Functions
Suppose a certain species of bird thrives on a small island. The population can be estimated using a polynomial function. We can use this model to estimate the maximum bird population and when it will...Suppose a certain species of bird thrives on a small island. The population can be estimated using a polynomial function. We can use this model to estimate the maximum bird population and when it will occur. We can also use this model to predict when the bird population will disappear from the island. In this section, we will examine functions that we can use to estimate and predict these types of changes.
9.8: Hypothesis Testing with One Sample (Exercises)
https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/09%3A_Hypothesis_Testing_with_One_Sample/9.8%3A_Hypothesis_Testing_with_One_Sample_(Exercises)
These are homework exercises to accompany the Textmap created for "Introductory Statistics" by OpenStax.
9.4: Distribution Needed for Hypothesis Testing
https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/09%3A_Hypothesis_Testing_with_One_Sample/9.4%3A_Distribution_Needed_for_Hypothesis_Testing
When testing for a single population mean: A Student's t-test should be used if the data come from a simple, random sample and the population is approximately normally distributed, or the sample siz...When testing for a single population mean: A Student's t-test should be used if the data come from a simple, random sample and the population is approximately normally distributed, or the sample size is large, with an unknown standard deviation. The normal test will work if the data come from a simple, random sample and the population is approximately normally distributed, or the sample size is large, with a known standard deviation.
12.8: Chapter Formula Review
https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/12%3A_F_Distribution_and_One-Way_ANOVA/12.08%3A_Chapter_Formula_Review
12.1 Test of Two Variances $H_{0} : \frac{\sigma_{1}^{2}}{\sigma_{2}^{2}}=\delta_{0}\nonumber$ $H_{a} : \frac{\sigma_{1}^{2}}{\sigma_{2}^{2}} \neq \delta_{0}\nonumber$ if $\delta_{0}=1$ then \[H...12.1 Test of Two Variances $H_{0} : \frac{\sigma_{1}^{2}}{\sigma_{2}^{2}}=\delta_{0}\nonumber$ $H_{a} : \frac{\sigma_{1}^{2}}{\sigma_{2}^{2}} \neq \delta_{0}\nonumber$ if $\delta_{0}=1$ then $H_{0} : \sigma_{1}^{2}=\sigma_{2}^{2}\nonumber$ $H_{a} : \sigma_{1}^{2} \neq \sigma_{2}\nonumber$ Test statistic is : $F_{c}=\frac{S_{1}^{2}}{S_{2}^{2}}\nonumber$ 12.3 The F Distribution and the F-Ratio \(S S_{\mathrm{between}}=\sum\left[\frac{\left(s_{j}\right)^{2}}{n_{j}}\right]-\frac{\left(\…
5.11: Chapter Solution (Practice + Homework)
https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/05%3A_Continuous_Random_Variables/5.11%3A_Chapter_Solution_(Practice__Homework)
Figure $\PageIndex{38}$ Figure $\PageIndex{41}$

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