Target Audience and Study Details

This page outlines the key parameters of the study:

The target audience for this project is all high school students. The study involved a total of 35 respondents or test subjects. The main purpose of the experiment was to compare gummy bear flavors through consumer preferences, specifically focusing on the ability to distinguish between red and green Haribo gummy bears.

Example: The study uses red $raspberry/strawberry flavored$ and green Haribo gummy bears for the taste test.

Hypothesis and Significance Level

This page presents the null and alternative hypothesis for the gummy bear flavors null alternative hypothesis test:

The researchers predict that 70% of students can tell the difference between red and green Haribo gummy bears. The parameter being measured is the proportion of high school students who can identify the difference.

Definition: Significance level (α) - The probability of rejecting the null hypothesis when it is actually true.

The significance level for this test is set at 0.10, which makes the test more sensitive to detecting differences.

The hypotheses are formally stated as:

• Null Hypothesis (H₀): p = 0.7
• Alternative Hypothesis (H₁): p < 0.7

Where p represents the proportion of high school students who can identify the difference between the gummy bear flavors.

Data Collection Process

This page describes the data collection methodology for the blind taste test statistics project:

The population of interest for this study is all high school students. To ensure a representative sample, the researchers employed a Simple Random Sampling (SRS) method.

The data collection process involved approaching random students during lunch, break, and after school hours. The researchers explained the purpose of the project and invited students to participate as test subjects. To maintain the integrity of the study and prevent duplicate responses, a list of participants' names was kept.

Highlight: The use of SRS and careful tracking of participants ensures the validity and reliability of the study results.

Data Presentation and Conditions

This page presents the collected data and checks for the conditions necessary for hypothesis testing:

The results of the taste test are presented in a table, showing the outcomes for all 35 participants. Out of the total, 20 participants were incorrect in identifying the flavors, while 15 were correct.

The researchers then verify the conditions for conducting a hypothesis test:

1. Random: The sample was obtained through SRS.
2. Independent: The sample size (35) is less than 10% of the population (all high school students).
3. Normal: Both np and n$1-p$ are greater than or equal to 10, indicating that the sampling distribution is approximately normal.

Vocabulary: Sampling distribution - The distribution of a statistic calculated from repeated samples drawn from a population.

Hypothesis Testing Calculation

This page details the calculation process for the hypothesis testing project high school students conducted:

The test statistic is calculated using a one-proportion z-test:

Z = $p̂ - p$ / √$p(1-p)/n$

Where:

• p̂ (sample proportion) = 15/35 = 0.4286
• p (hypothesized population proportion) = 0.7
• n (sample size) = 35

Plugging in these values yields a z-score of -3.50.

Example: The calculated z-score of -3.50 indicates that the sample proportion is 3.50 standard deviations below the hypothesized population proportion.

The p-value associated with this z-score is 0.0002, which is less than the significance level of 0.10.

Type I and Type II Errors

This page explains the concepts of Type I and Type II errors in the context of the gummy bear taste test:

Type I Error: This would occur if the researchers report that less than 70% of the high school students could tell the difference between the gummy bear flavors when the true proportion was actually higher. The consequence of this error would be that students might question their ability to distinguish their favorite flavors.

Definition: Type I Error - Rejecting the null hypothesis when it is actually true.

Type II Error: This would happen if the researchers report that 70% of the students could tell the difference when they actually couldn't. The consequence of this error would be that students might feel overly confident about their taste-distinguishing abilities.

Definition: Type II Error - Failing to reject the null hypothesis when it is actually false.

Summary and Conclusion

This page presents the key findings and conclusion of the blind taste test statistics project:

The sample testing revealed that 57% of the high school students could NOT correctly identify the gummy bear flavor when asked to guess with their eyes closed.

Highlight: The study concludes by rejecting the null hypothesis because the p-value (0.0002) is less than the significance level (α = 0.10).

The researchers state that they have convincing evidence that the proportion of high school students who can determine the difference between red and green gummy bears is less than 0.70 (70%).

Quote: "We reject H₀ because 0.0002 is less than α = 0.10. We have convincing evidence that the proportion of Temple City High School students who can determine the difference between red & green gummy bears is less than 0.70."

This conclusion challenges the initial hypothesis and provides valuable insights into taste perception among high school students.

Conclusion

This final page wraps up the presentation with a brief thank you message to the audience. It reinforces the completion of the hypothesis testing project high school students conducted on gummy bear flavor differentiation.

The project successfully demonstrated the application of statistical concepts such as hypothesis testing, sampling methods, and data analysis in a real-world scenario that is relatable and interesting to high school students.

Hypothesis Testing: Blind Taste Test

This page introduces a hypothesis testing project designed for AP Statistics students. The project focuses on conducting a blind taste test to compare gummy bear flavors through consumer preferences.

Highlight: The project aims to discover whether people can actually determine the difference between gummy bear flavors.

The study specifically chose to use red and green gummy bears because they are both fruit-flavored and relatively similar in taste, making the comparison more challenging and interesting.

Vocabulary: Hypothesis testing - A statistical method used to make inferences about population parameters based on sample data.