What was your favorite topic or fun fact that you’ve learned in the course so far? Explain why you liked it. for your convenience, the topics are listed below.   List of Course Topics Thus Far Module Module Title Lecture Titile 1 Introduction to Food Science Scientific Method, Unit Conversions (Imperial & SI), Laboratory Measurements 1 Introduction to Food Science Sensory Science: Taste, Texture, & Flavor 1 Introduction to Food Science Nutrition, Labels, and Regulations 2 Molecules of Food: Overview Molecules of Food Overview, Intra and Intermolecular Forces 2 Molecules of Food: Overview Water: Solutions, Acids, & Bases 2 Molecules of Food: Overview Food Chemistry Calculations 3 Molecules of Food: Macronutrients Carbohydrates 3 Molecules of Food: Macronutrients Proteins 3 Molecules of Food: Macronutrients Lipids

After reading that caramelization is accelerated in basic conditions, Anton predicts that adding baking soda to his sliced onions before sautéing will speed up the browning process. What part of the scientific method is represented by ‘predicts’?

Which of the following are examples of qualified health claims? Check all that apply.

The pH of molasses is about 5.1 and 1 cup of molasses is about 237 mL. How many hydrogen ions [H+] are added via molasses in this recipe?

A salt bridge is a hybrid force between an ionic bond and…

(Use Poisson Distribution) A fast-food restaurant is trying to hire employees. Let’s assume that one employee can process 10 orders in 15 minutes. The company wants to prepare for orders occurring at that point with at least an 80% probability (For example, if 50 orders occur with a 70% probability in 15 minutes, and 60 orders occur with an 80% probability, the company wants to process at least 60 orders). The following data is the number of orders in 15 minutes. You can calculate the average number of orders using the following data. How many employees should the branch employ? (For example, if 61 orders are placed in 15 minutes, with an 80% probability, the branch should hire 7 employees.) 9:00 AM    9:15 AM    9:30 AM    9:45 AM    10:00 AM    10:15 AM    10:30 AM    10:45 AM    11:00 AM    11:15 AM    11:30 AM    11:45 AM    12:00 PM    12:15 PM    12:30 PM    12:45 PM    1:00 PM    1:15 PM    1:30 PM    1:45 PM    2:00 PM53    53    49    38    26    84    27    36    19    38    96    74    85    64    33    47    16    96    73    59    25

(Use Exponential Distribution) It is said that the average lifespan of a smartphone produced by a company is 4 years and follows an exponential distribution. Find the probability that this smartphone will last more than 7 years. Round to 4 decimal places. (for example, 0.0233333 should be written as 0.0233. If written as 2.3333%, the answer will be incorrect.)

(Use Exponential Distribution) It is said that the average lifespan of a smartphone produced by a company is 5 years and follows an exponential distribution. Find the probability that this smartphone will last more than 6 years. Round to 4 decimal places. (for example, 0.0233333 should be written as 0.0233. If written as 2.3333%, the answer will be incorrect.)

Which of the following is used to measure the performance of a model on training data

[Use Exam1-Data.xlsx] Find the Z-score of the “PER” value of the observations for all years and companies, and find the skewness of the distribution of the values ​​excluding any outliers with Z-score higher than 3 or lower than -3 using filter. (For example, if 1 out of 10 observations is an outlier, you can discuss the distribution of the 9 observations after filtering out the 1. DO NOT REMOVE THE OBSERVATIONS)You can check the distribution with a clustered column chart. A left-skewed distribution means a distribution with a tail that is longer on the left than on the right. A right-skewed distribution means a distribution with a tail that is longer on the right than on the left. Normal distribution means a distribution that is not skewed in any way. Exam1_Data.xlsx