A university professor wanted to know if the attitudes towards stats changed during the course of the semester. She took a simple random sample of students and gave them a test at the beginning of the term to assess their feelings toward stats. When the sememster was finished she administered another test to the same group of students and wanted to see if there was a difference b/w the average attitudes towards stats. What type of analysis would be most appropriate analysis? a. matched pairs t test
b. independent t tests
c. one sample t tests
d. none are appropriate

step-by-step explanation:

the options are kind of confusing. i can tell you what i see going on here when i look at the graph.

the class and exam medians are closely related, and it looks like the low outlier on the exam did pull the median lower. [tex][/tex]

y = 2x

step-by-step explanation:

if you divide each number in the sequence, you'll see that they all have a multiple factor of 2. each number in the series, and any other numbers which may continue, will be multiplied by 2. therefore, y is the next number in the sequence, and x is the current one, so, our formula will be y = 2x.

or

step-by-step explanation:

we need to solve for 'x' the following equation:  

we have that:

⇒

⇒ ⇒

factorizing, we get that:

  ⇒

then, the solutions are: or

nothing extraneous has been found!

the answer would be 44.79

plz mark brainliest

step-by-step explanation: