Below is the data for this question and is also attached as an image. Will give thumbs up and Thank you! CAR_PRICE GENDER AGE 1 6331.6 Female Less then 16 2 6242.9 Female Less then 16 3 2062.2 Female Less then 16 4 4503.1 Female Less then 16 5 4323 Female Less then 16 6 1675.8 Male Less then 16 7 5785.6 Male Less then 16 8 6356.8 Male Less then 16 9 3504.3 Male Less then 16 10 5877.3 Male Less then 16 11 5371 Female 16 to 18 12 5624.2 Female 16 to 18 13 6905.7 Female 16 to 18 14 5414.8 Female 16 to 18 15 6269.8 Female 16 to 18 16 6151.4 Male 16 to 18 17 5430.9 Male 16 to 18 18 3833.6 Male 16 to 18 19 3481.8 Male 16 to 18 20 5899.2 Male 16 to 18 21 5071.1 Female 19 to 21 22 6726 Female 19 to 21 23 5347.6 Female 19 to 21 24 7552.6 Female 19 to 21 25 5143.2 Female 19 to 21 26 5765.9 Male 19 to 21 27 6402.6 Male 19 to 21 28 5042.8 Male 19 to 21 29 7944.1 Male 19 to 21 30 5504.2 Male 19 to 21 31 9064.9 Female 22 to 25 32 10635.1 Female 22 to 25 33 5235.2 Female 22 to 25 34 4618.2 Female 22 to 25 35 3884 Female 22 to 25 36 6591.7 Male 22 to 25 37 3811.5 Male 22 to 25 38 4113.4 Male 22 to 25 39 6534.7 Male 22 to 25 40 3956.1 Male 22 to 25 41 7883.1 Female Older then 25 42 7068.9 Female Older then 25 43 8474.7 Female Older then 25 44 6100.9 Female Older then 25 45 10429 Female Older then 25 46 6570.5 Male Older then 25 47 8259.3 Male Older then 25 48 8911.8 Male Older then 25 49 8072 Male Older then 25 50 6768.1 Male Older then 25

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Below is the data for this question and is also attached as an image. Will give thumbs up and Thank you!

	CAR_PRICE	GENDER	AGE
1	6331.6	Female	Less then 16
2	6242.9	Female	Less then 16
3	2062.2	Female	Less then 16
4	4503.1	Female	Less then 16
5	4323	Female	Less then 16
6	1675.8	Male	Less then 16
7	5785.6	Male	Less then 16
8	6356.8	Male	Less then 16
9	3504.3	Male	Less then 16
10	5877.3	Male	Less then 16
11	5371	Female	16 to 18
12	5624.2	Female	16 to 18
13	6905.7	Female	16 to 18
14	5414.8	Female	16 to 18
15	6269.8	Female	16 to 18
16	6151.4	Male	16 to 18
17	5430.9	Male	16 to 18
18	3833.6	Male	16 to 18
19	3481.8	Male	16 to 18
20	5899.2	Male	16 to 18
21	5071.1	Female	19 to 21
22	6726	Female	19 to 21
23	5347.6	Female	19 to 21
24	7552.6	Female	19 to 21
25	5143.2	Female	19 to 21
26	5765.9	Male	19 to 21
27	6402.6	Male	19 to 21
28	5042.8	Male	19 to 21
29	7944.1	Male	19 to 21
30	5504.2	Male	19 to 21
31	9064.9	Female	22 to 25
32	10635.1	Female	22 to 25
33	5235.2	Female	22 to 25
34	4618.2	Female	22 to 25
35	3884	Female	22 to 25
36	6591.7	Male	22 to 25
37	3811.5	Male	22 to 25
38	4113.4	Male	22 to 25
39	6534.7	Male	22 to 25
40	3956.1	Male	22 to 25
41	7883.1	Female	Older then 25
42	7068.9	Female	Older then 25
43	8474.7	Female	Older then 25
44	6100.9	Female	Older then 25
45	10429	Female	Older then 25
46	6570.5	Male	Older then 25
47	8259.3	Male	Older then 25
48	8911.8	Male	Older then 25
49	8072	Male	Older then 25
50	6768.1	Male	Older then 25

CAR_PRICE GENDER AGE
1
6331.6 Female
Less then 16
2
6242.9 Female
Less then 16
3
2062.2 Female
Less then 16
4
4503.1 Female
Less then 16
4323 Female
Less then 16
6
1675.8 Male
Less then 16
7
5785.6 Male
Less then 16
8
6356.8 Male
Less then 16
3504.3 Male
Less then 16
10
5877.3 Male
Less then 16
11
5371 Female
16 to 18
12
5624.2 Female
16 to 18
13
6905.7 Female
16 to 18
14
5414.8 Female
16 to 18
15
6269.8 Female
16 to 18
16
6151.4 Male
16 to 18
17
5430.9 Male
16 to 18
18
3833.6 Male
16 to 18
19
3481.8 Male
16 to 18
20
5899.2 Male
16 to 18
21
5071.1 Female
19 to 21
22
6726 Female
19 to 21
23
5347.6 Female
19 to 21
24
7552.6 Female
19 to 21
25
5143.2 Female
19 to 21
26
5765.9 Male
19 to 21
27
6402.6 Male
19 to 21
28
5042.8 Male
19 to 21
29
7944.1 Male
19 to 21
30
5504.2 Male
19 to 21
31
9064.9 Female
22 to 25
32
10635.1 Female
22 to 25
33
5235.2 Female
22 to 25
34
4618.2 Female
22 to 25
35
3884 Female
22 to 25
36
6591.7 Male
22 to 25
37
3811.5 Male
22 to 25
38
4113.4 Male
22 to 25
39
6534.7 Male
22 to 25
40
3956.1 Male
22 to 25
41
7883.1 Female
Older then 25
42
7068.9 Female
Older then 25
43
8474.7 Female
Older then 25
44
6100.9 Female
Older then 25
45
10429 Female
Older then 25
46
6570.5 Male
Older then 25
47
8259.3 Male
Older then 25
48
8911.8 Male
Older then 25
49
8072 Male
Older then 25
50
6768.1 Male
Older then 25

Source
Degrees of Freedom
Sum of Squares
Mean Square
F
P-value
Age
4
Gender
1
...
...
...
Interaction 4
...
Error
40
...
...
Total
49
(c, i) Consider your statistical hypothesis in part (b). Compute the test statistic used to test Ho in part (b).
Feale =
(use two decimals in your answer)
(c, ii) Find the P-value, using three decimals in your answer.
P-value =
(d) You wish to test the hypothesis that the age will effect the sale price of the car. Of the options below, select the
statistical hypothesis that will test this.
A. Ho : Hlessthan16 # H16to18 H19t021 7...
HA : Hlessthan16 = H16to18 = H19t021 =. ..
HA : Hlessthanl16 + H16to18 # H19to21 7...
B. Họ : Hlessthan16 = H16to18 = µ19to21 =. ..
= µ female
с. Но : Итale
На : Итale # H female
D. Ho : Hlessthan16 =
= H19to21
HA : at least one u; is different
H16to18
=...
(e, i) Consider your statistical hypothesis in part (d). Compute the test statistic used to test Họ in part (d).
Fcale
(use two decimals in your answer)
(e, ii) Find the P-value, using three decimals in your answer.
P-value =
(f) Is there a significant interaction between where the Gender and Age? Find the test statistic and the P-value for
such a statistical test.
Feale
(use two decimals in your answer)
P-value =
(use three decimals in your answer)

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