Air contains N₂, O₂, Ar, CO₂, and water vapor. Identify which of these are elements, which are compounds, and which are molecules. Explain your reasoning.

Step 1: Create a Base Class Product Use encapsulation by making attributes private. Private attributes: name price quantity Methods: get_name() get_price() get_quantity() set_quantity(qty) – updates the quantity. display_product() – prints product name, price, and quantity.   Step 2: Create a Derived Class Electronics Inherit from Product. Add a new private attribute: warranty_years Methods: get_warranty() Override display_product() to include the warranty. Step 3: Create Another Derived Class Clothing Inherit from Product. Add a new private attribute: size (Example: S, M, L, XL) Methods: get_size() Override display_product() to include the size. Step 4: Tester Code Your program should: Create: One electronic product One clothing product Display the details of both products. Update the quantity of one product and display it again.     Example Output Product: LaptopPrice: $900Quantity: 5Warranty: 2 years Product: T-ShirtPrice: $20Quantity: 10Size: M

A dosage calculation requires converting 2.0 L of IV fluid to mL. What is the volume in mL? All work must be shown to recieve full credit.

English-Metric Equivalencies 1 mile = 5,280 ft 621 miles = 1.00 km 1 kg = 2.2 lbs 1 gallon = 3.79 L 1 yd = 36 inches 1 lb. = 16 oz. 54 cm = 1 in Volume Equivalencies Density = mass / volume Vrectangular solid (cube) = s3 (where s represents the length of one side) Vcylinder = πr2h 1 mL = 1 cm3 Temperature Equivalencies TK = T°C + 273.15 T°F = 1.8 (T°C) + 32 Energy Equivalencies 1 cal = 4.184 J

A sample of n = 5 scores has a standard deviation of s = 5. What is the value of SS, the sum of the squared deviations for this sample?

A sample of n = 9 scores has SS = 72. The variance for this sample is s2 = 9.

A population has SS = 100 and σ2 = 4. What is the value of Σ(X – µ) for the population?

For the following scores, which action will increase the range? Scores: 2, 6, 11, 15

A sample with a variance of s2 = 36 has a standard deviation equal to s = 6.

After a researcher multiplies every score in a sample by 3, the standard deviation is found to be s = 3. The original sample had a standard deviation of s = 9.