In 2013, the pew research foundation reported that “45% of u. s. adults report that they live with one or more chronic conditions”.39 however, this value was based on a sample, so it may not be a perfect estimate for the population parameter of interest on its own. the study reported a standard error of about 1.2%, and a normal model may reasonably be used in this setting. create a 95% confidence interval for the proportion of u. s. adults who live with one or more chronic conditions. also interpret the confidence interval in the context of the study.

(0.42648,0.47352)

It means the interval (0.42648,0.47352) that we can be 95% sure contains the population proportion.

Step-by-step explanation:

Given : The proportion of U.S. adult report that they live with one or more chronic conditions :

Standard error :

Significance level :

Critical value :

The confidence interval for population proportion is given by :-

Hence,  a 95% confidence interval for the proportion of U.S. adults who live with one or more chronic conditions =(0.42648,0.47352)

It means the interval (0.42648,0.47352) that we can be 95% sure contains the population proportion.

(- 1, 0 )

step-by-step explanation:

an x- intercept is where the function crosses the x- axis.

to find the x- intercept/s look for the value of x when f(x) = 0

from the given table there are 3 values of x where f(x) = 0

when x = - 1, x = 2, x = 3

the one that is listed is (- 1, 0 )

1. 3.4/4

2. 0.8/7

3. 0.5 x 3

4. 0.9 x 6

5. 10.8

6. 2.35

7. 0.567

8. 9.35

9. 0.02

10. 0.06

11. 0.16

12. 0.42

13. 0.63

14. 5.6

15. 8.1

16. 9.9

17. 0.28

18. 0.48

19. 0.27

20. 0.49

21. 0.45

22. 0.72

23. 0.9

24. 0.88

25. 0.75

26. 0.16

27. 0.328

28. 0.495

29. 0.72

30. 1.068