Ghjyhuytrdruiouyeroiufduiidfghopoiuytddfghjk
Answer:
The students went on vacation for average 40 days.
The high school students went for more days than college students.
Step-by-step explanation:
The data shows number of students who went for vacation. The data class frequency shows that students who are in high school went for more days in vacation than college students. The students went for average of 40 days on vacation.
The way to solve this question is to essentially reverse the equation I used in the other answer.
I would solve this with some theoretical values. If you start with 3, how long would it take for it to triple, or reach 9.
the equation would look like 9 = 3(2)^t/6, note how the instead of 1/2 it is now 2 in the parenthesis, as it doubles every 6 hours rather than halves every amount of hours.
When placed into an algebra calculator, the answer should be about 9.5 hours
I'm not going to give you the answer but I'll help you.
Step-by-step explanation:
Start by writing down your thoughts down and then form them into a paragraph.
- Write down your opinion of what classic is
- Give 3 traits/characteristics that makes that thing classic (high-quality, timeless, aged, eternal, original etc.)
- Then write down whether or not you think your definition of classic is different from the googled definition
<h2><u>
If you need more help let me know!</u></h2>
Answer:
Step-by-step explanation:
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The population proportion have the following distribution
So under the null hypothesis the mean for the population proportion is p
And the standard deviationis given by:
