How many females are in your sample? How many males? What proportion of your sample is female? What proportion of your sample is male
1) How many females are in your sample? How many males? What proportion of your sample is female? What proportion of your sample is male?
2) Is the proportion of women at StatCrunchU equal to the proportion of men at StatCrunchU?
-
- Show that the conditions are met for the use of a normal model for a hypothesis test (np > 10 and n(1 - p) >10, where p is from the null hypothesis).
- Test the claim that the proportion of females at StatCrunchU is equal to the proportion of men. Document your hypothesis test in hypothesis test format in your submission.
- Write a conclusion to your hypothesis test referring to females at StatCrunchU.
- Explain what the P-value means as a probability that refers to random samples of 50 StatCrunchU students.
3) What are the proportions of females and males at StatCrunch U?
-
- Show that the conditions are met for the use of a normal model for a confidence interval (count of successes and failures are greater than 10, as in 2 a).
- Determine a
range of plausible values for this proportion by using your choice of technology. Document your methods below, using screen short from the calculator or other technology as needed. - Interpret your interval referring to females at StatCrunchU.
- Explain what is meant by "95% confident."
4) Does your confidence interval support your hypothesis test? Explain your reasoning in detail.
|
Gender |
Class |
Hours |
Work |
Loans |
CC Debt |
|
Female |
2 |
11 |
22 |
7122 |
2202 |
|
Female |
4 |
9 |
26.5 |
15367 |
4139 |
|
Female |
2 |
16 |
14.5 |
8164 |
3205 |
|
Female |
4 |
15 |
15 |
0 |
7611 |
|
Male |
4 |
12 |
19 |
16014 |
8959 |
|
Male |
1 |
16 |
0 |
0 |
1658 |
|
Female |
3 |
9 |
24.5 |
11997 |
4418 |
|
Female |
1 |
16 |
17.5 |
2543 |
0 |
|
Male |
4 |
20 |
6.5 |
14118 |
6596 |
|
Female |
1 |
17 |
0 |
0 |
1303 |
|
Male |
4 |
14 |
0 |
15506 |
8273 |
|
Male |
3 |
14 |
0 |
0 |
2530 |
|
Female |
3 |
13 |
0 |
11371 |
2784 |
|
Male |
1 |
15 |
20 |
4912 |
1720 |
|
Female |
4 |
7 |
32 |
14494 |
8152 |
|
Female |
2 |
13 |
21 |
9661 |
2008 |
|
Male |
3 |
21 |
0 |
0 |
5173 |
|
Female |
2 |
16 |
0 |
0 |
2787 |
|
Female |
3 |
6 |
0 |
0 |
3474 |
|
Female |
2 |
14 |
0 |
8433 |
2450 |
|
Male |
2 |
18 |
0 |
7403 |
3003 |
|
Female |
3 |
15 |
0 |
0 |
3101 |
|
Male |
1 |
13 |
16.5 |
5475 |
1673 |
|
Female |
4 |
12 |
0 |
18393 |
5113 |
|
Male |
4 |
19 |
0 |
0 |
7604 |
|
Female |
2 |
12 |
0 |
0 |
1663 |
|
Female |
1 |
17 |
0 |
2874 |
1273 |
|
Female |
4 |
12 |
0 |
0 |
4658 |
|
Male |
2 |
14 |
20 |
7669 |
3144 |
|
Male |
2 |
19 |
0 |
0 |
2531 |
|
Female |
1 |
16 |
15.5 |
4723 |
1192 |
|
Female |
4 |
20 |
12.5 |
15756 |
3300 |
|
Male |
4 |
15 |
0 |
17188 |
3743 |
|
Female |
2 |
18 |
0 |
0 |
2205 |
|
Male |
1 |
15 |
0 |
0 |
1539 |
|
Female |
1 |
15 |
0 |
0 |
1522 |
|
Male |
1 |
18 |
7 |
2882 |
1516 |
|
Female |
2 |
17 |
17 |
7514 |
2491 |
|
Female |
1 |
15 |
0 |
0 |
1242 |
|
Male |
4 |
6 |
33 |
17282 |
11155 |
|
Male |
2 |
15 |
0 |
0 |
2477 |
|
Female |
3 |
9 |
27.5 |
11757 |
3781 |
|
Female |
3 |
12 |
0 |
11468 |
2594 |
|
Female |
3 |
6 |
41 |
11949 |
3038 |
|
Female |
3 |
15 |
0 |
13528 |
3657 |
|
Female |
4 |
11 |
24 |
0 |
0 |
|
Female |
2 |
14 |
0 |
0 |
0 |
|
Female |
4 |
16 |
14.5 |
15590 |
4740 |
|
Female |
4 |
15 |
0 |
0 |
3369 |
|
Female |
2 |
15 |
0 |
7458 |
2184 |
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