Answer:
yes no total
girls 58 32 90
boys 52 40 92
total 110 72 182
Step-by-step explanation:
if 182 freshmen were surveyed and 110 said yes, then 182 - 110 = 72 said no
if 40 boys said no, then 72 - 40 = 32 girls said no
if 90 girls were surveyed, then 182 - 90 = 92 boys were surveyed
if 40 boys said no, then 92 - 40 = 52 said yes
if 32 girls said no, then 90 - 32 = 58 said yes
<u>Yes the first one is correct because n squared is n with the 2 above it and adding it to three gets your first answer and then the three on the outside means to multiply so your first response is correct.</u>
Answer:
Step-by-step explanation:
Ok, so we have to help your pupil (lets call her Jane) figure out "why researchers should use a random sample to conduct a survey". So, i will list all of the choices.
- A random sample is likely to avoid bias
- In a random sample some members of the population are more likely to be selected than others
- Random samples provide consistency and systematically favor one choice over every other choice in each survey question
- Random sampling will provide a more representative sample of population
- Researchers can use a random sample to draw conclusions about the population
Random sampling is used to get the best average, and not favor any one opinion. For example, if you were trying to figure out the daily spending budget of people, you wouldn't just go to the upper clas part with all the rich people, you would survey from all over the town to get results from all kinds of people. So, the answers are:
- A random sample is likely to avoid bias (because thats exactly what they do)
- Random sampling will provide a more representative sample of population (because they are designed to do that)
- Researchers can use a random sample to draw conclusions about the population (thats why they take the samples)
Hope this helps
