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

p> q if you calculate p is100 q is 79

no association

step-by-step explanation:

if you have eyes and you can use them efficiently you can see that it just looks like random dots like do a line of best fit and like they're so spread out it's such a weak association you might as well consider it nonexistent

step by step resolutions

1) n+n+1+n+2=51

3n+3=51

3n=48

n=16

the three numbers are 16, 17 and 18.

2) x+15=4x

3x=15

x=5

radha is now 5 years old

3) the two digits are x and y.

y=3x

(10x+y)+(10y+x)=88

y=3x

11x+11y=88

y=3x

x+y=8

x+3x=8

x=2

the original number can be either 28 or 82.

4) n+(n+2)+(n+4)=48

3n+6=48

3n=42

n=14

the numbers are 14, 16 and 18.

5) y=x+3

10y+x+10x+y=143

y=x+3

11x+11y=143

y=x+3

x+y=13

x+x+3=13

2x=10

x=5

the original number can be 57 or 75.

hope this !

i think it’s c i believe