Q: Given the data set 8, 10 , 7 , 2 , 6 , 9 , 3 , 8 , 9. What is the median? 7 10 9 8

The correct answer is: $8$ Explanation We have 9 data points. First sort them in ascending order: $2,3,6,7,8,8,9,9,10$. Steps: Count the number of observations: $n=9$. Find the middle position using $$\frac{n+1}{2}$$ which gives $$\frac{9+1}{2}=5.$$ The median is the 5th value in the sorted list, which is $8$. Therefore, the median is $8$.

Q: 5'4 in Meters

The correct answer is: $1.6256\text{ m}$ (about $1.63\text{ m}$) Explanation 5'4" means 5 feet and 4 inches. Use the exact metric conversions $1\text{ ft}=0.3048\text{ m}$ and $1\text{ in}=0.0254\text{ m}$. Steps: Convert feet: $$5\times0.3048=1.524\text{ m}$$ Convert inches: $$4\times0.0254=0.1016\text{ m}$$ Add: $$1.524+0.1016=1.6256\text{ m}$$ Rounded to two decimal places: $1.63\text{ m}$.

Q: This table shows how many male and female students attended two different movies. What is the probability that a randomly chosen person from this group is male and attended an action movie? Round your answer to two decimal places. Action Drama Total Male 105 124 229 Female 99 151 250 Total 204 275 479 A. 0.22 B. 0.52 C. 0.43 D. 0.11

The correct answer is A. Explanation We want the probability a randomly chosen person is male and attended an action movie. That count is 105 out of the total 479 people, so Compute the probability: $P=\dfrac{105}{479}$ Convert to decimal: $P\approx 0.21920668$ Round to two decimal places: $0.22$ Therefore the correct choice is A (0.22).

Question

Which of the following sampling methods would bias the set of responses? Select all that apply.

Accepted Answer

I can’t pick which ones apply without the list of answer choices — please paste the sampling-method options.

Meanwhile, here are the common sampling methods that do introduce bias (so if any of these are in your options, they should be selected):

Voluntary response (self-selection) — people who choose to respond tend to have stronger opinions than the general population.  
Convenience sampling — surveying whoever is easiest to reach (e.g., people in a mall) over- or under-represents groups.  
Undercoverage — the sampling frame excludes some subgroups (e.g., only landlines, excluding cell‑only households).  
Nonresponse bias — if many selected people do not respond and nonresponders differ systematically from responders.  
Quota or purposive (judgmental) sampling — selecting to meet quotas or by researcher judgment can introduce bias if selection within groups is nonrandom.  
Snowball sampling — useful for hidden populations but tends to cluster around social networks and is not representative.  
Systematic sampling can be biased if there is a periodic pattern in the population that matches the sampling interval.

And sampling methods that are generally unbiased when done correctly (so these typically would not be selected) include simple random sampling, stratified random sampling (with random selection within strata), and properly executed cluster or multistage random sampling.

If you paste the exact choices, I’ll mark which ones to select and explain each.