Science And Technology - claymation artwork

Science And Technology Quiz

16 Questions 10 min
This Science and Technology Quiz spans the scientific method, core physics and biology concepts, and foundational internet protocols including HTTP, TCP, and IP. You will practice unit conversions, graph and table interpretation, and simple algorithm reasoning. Useful for software engineers, network and IT staff, data analysts, and STEM students.
1You are testing whether a new insulation wrap reduces heat loss from a pipe. What is the independent variable in this experiment?
2The internet and the web are the same thing.

True / False

3A network link is labeled 100 Mbps, but a file is labeled 100 MB. What relationship correctly converts bytes to bits?
4In science, a “theory” is best described as which of the following?
5The SI prefix kilo means 10^3.

True / False

6Your browser cannot reach a site by name, but it works if you type the server’s IP address. Which system is most likely failing?
7You want to use binary search to find a username in a list. What must be true about the list for binary search to work correctly?
8A lab note says the sample is at 25°C. About what is that in kelvins? (Use quick mental math.)
9Precision is about repeatability, accuracy is about closeness to the true value.

True / False

10A delivery drone travels 3 km in 6 minutes. What is its average speed in meters per second?
11A chart shows ice cream sales and drowning incidents both rise in summer and fall in winter. What is the most scientifically defensible conclusion from this graph alone?
12A sensor datasheet lists a standby current of 2500 microamps (µA). About how many milliamps (mA) is that?
13You are choosing a transport protocol for sending a 2 GB log file where every byte must arrive correctly and in order. Which choice best fits?
14HTTPS is HTTP carried inside a TLS-encrypted connection, which helps protect data in transit from many network attackers.

True / False

15You download an 80 MB file over a 20 Mbps connection with no overhead. About how long should the transfer take?
16You suspect a new code optimization reduces API latency. Which statement is the best hypothesis to test?
17You check each record in a list one by one until you find a match, or reach the end. What is the typical time complexity in Big-O notation?
18Binary search runs in O(log n) time even if the data is unsorted.

True / False

19A storage device is sold as “256 GB,” but your OS reports about “238 GiB” usable. What is the most likely reason?
20A coworker says “OSI is the set of protocols the internet runs on.” Which response is most accurate?
21You have a sorted array of 10 million timestamps in memory and need to find whether a particular timestamp exists. Random access is available. Which search approach is most appropriate?
22A 3 kg cart accelerates at 2 m/s² on a track. What net force is acting on it?
23A field sensor uploads a 120 MiB log file to a web API over a 25 Mbps link using HTTPS. Assume 15% total overhead. About how long should one upload take?

Science + Tech Trivia Pitfalls: Units, Evidence, and Protocol Stack Mix-ups

Most misses in science and technology trivia come from small definition shifts, skipped unit checks, and mixing conceptual models with real implementations.

Unit and scale errors that silently break answers

  • Prefix confusion: milli (10-3) vs micro (10-6), kilo (103) vs mega (106). Write the exponent before calculating.
  • Bits vs bytes: network throughput is commonly in bits/s, storage is commonly in bytes. Convert with 1 byte = 8 bits.
  • Temperature traps: Celsius and Kelvin have the same step size but different zero points. Do not treat 0C as an absence of thermal energy.

Evidence and wording traps in the scientific method

  • "Theory" vs "hypothesis": a hypothesis is a testable claim, a theory is a well-supported explanatory framework. Do not rank theory as weaker than hypothesis.
  • Correlation vs causation: a trend line does not prove mechanism. Look for controls, randomization, or a plausible causal pathway.
  • Accuracy vs precision: a tight cluster can still be wrong. Separate bias (accuracy) from variability (precision).

Data and algorithm interpretation mistakes

  • Ignoring axes and scale: check log scales, truncated y-axes, and units on both axes before comparing slopes or changes.
  • Big-O preconditions: binary search is O(log n) only if the data is sorted and you have random access. Otherwise you may be forced into O(n).

Internet protocol stack confusion

  • Internet vs web: the internet is packet routing over IP, the web is application content over HTTP/HTTPS.
  • HTTP over TCP: HTTP is an application protocol, TCP provides reliable transport, and IP handles addressing and routing.

Printable Science and Technology Quick Sheet: Measurements, Stats, Algorithms, and Core Protocols

Print tip: Use your browser’s print option to print this page or save it as a PDF for offline review.

Scientific method checkpoints

  • Hypothesis: testable statement that implies an observable outcome.
  • Independent variable: what you change. Dependent variable: what you measure.
  • Controls: conditions held constant to isolate the independent variable.
  • Replication: repeat trials to reduce the chance that random error explains the result.

Units and fast conversions

  • SI base units (common): meter (m), kilogram (kg), second (s), ampere (A), kelvin (K).
  • Prefixes: k = 103, M = 106, G = 109, m = 10-3, = 10-6, n = 10-9.
  • Bits and bytes: 1 B = 8 b. 1 Mb/s = 106 b/s (telecom convention).
  • Temperature: K = + 273.15 (use +273 for quick mental math).

Core formulas that show up in mixed STEM questions

  • Speed: v = d/t, so d = vt and t = d/v.
  • Newton’s 2nd law: F = ma (units: N = kgm/s2).
  • Electrical basics: V = IR, P = VI = I2R.

Data interpretation and statistics

  • Mean vs median: outliers pull the mean more than the median.
  • False positive: test says ×positive when the condition is absent. Base rate affects how many positives are wrong.
  • Error bars: overlapping bars do not automatically mean ×no difference, but they do warn against overconfident claims.

Algorithms and complexity

  • Linear scan: check items one-by-one, O(n).
  • Binary search: requires sorted data, O(log n).

Internet protocol essentials

  • IP: addressing and routing. TCP: reliable ordered byte stream. UDP: lower overhead, no delivery guarantee.
  • HTTP: request/response at the application layer. HTTPS: HTTP over TLS.
  • DNS: names to IP addresses. Caching and TTL affect how quickly changes propagate.

Worked Science and Technology Examples: Unit Conversion, Causality Logic, and HTTP Over TCP

Use this multi-part scenario to practice the same reasoning patterns the quiz targets.

Scenario

You download a 600 MB dataset, then you review an A/B test plot, and finally you debug a slow API call.

  1. Compute download time from throughput. Your link is 80 Mb/s. Convert file size to megabits: 600 MB  8 = 4800 Mb. Time ’ size/rate, so 4800 Mb / 80 Mb/s = 60 seconds. If a choice is near 1 minute, it is consistent. If a choice treats MB as Mb, it will be off by 8.

  2. Decide if a chart supports causation. The plot shows conversion rate rises as ×time on page rises. That is correlation. To argue causation, you need a mechanism and an intervention such as randomizing users to a UI change that increases time on page, while controlling confounders like traffic source and device type.

  3. Place protocols in the right order. The API uses HTTP messages. Those messages typically ride on a TCP connection, which sends segments across IP. If packet loss occurs, TCP retransmissions can increase latency even if the HTTP code is correct.

  4. Pick an algorithm based on preconditions. If you need to find a user ID in a sorted list, binary search is O(log n). If the list is unsorted, a linear scan is O(n) unless you first sort or build a hash index.

Check step: after any calculation, restate the unit you expect, such as seconds for time or Mb/s for throughput, and confirm the math matches it.

Science and Technology Quiz FAQ: Definitions, Units, and Protocol Relationships

What is the difference between a hypothesis, a theory, and a law in science questions?

A hypothesis is a specific, testable claim. A theory is a broad explanatory framework supported by multiple lines of evidence, such as germ theory. A law is a concise relationship, often mathematical, that describes a consistent pattern, such as an idealized gas law. A theory does not become a law after ×enough proof.

How do I avoid accuracy vs precision mistakes on measurement items?

Ask two separate questions. Precision asks, ×Are repeated measurements tightly grouped? Accuracy asks, ×Is the measurement close to the true value? A miscalibrated sensor can be precise but inaccurate. Random noise reduces precision and can sometimes average out without fixing accuracy.

When should I use mean vs median in data interpretation questions?

Use the median for skewed distributions or when outliers matter, such as response times or income. Use the mean when values are roughly symmetric and you need totals or expected value, such as average power usage over many trials. Check the axis and look for long tails before choosing.

What relationship should I remember between HTTP, TCP, IP, and DNS?

DNS translates names to IP addresses. IP routes packets between hosts. TCP provides reliable, ordered delivery between two endpoints. HTTP is an application protocol that commonly uses TCP, and HTTPS adds TLS encryption and authentication on top of that. If you want more protocol-focused practice, use the Practice Environmental Science Questions With Explanations.