sample Lhe the sample data to construct an 80% confidence interval estimate of a, the standard deviation of the duration times of game play. Assume that this sample was obtained from a population with a normal distribuion. Twehe diforent video games showing substance use were observed and the duration of times of game play (in seconds) are listed below. The design of the study justifies the assumption thet the sample can be trealed as a simple random Luestion Help 9 3,621 4,383 4,154 4,111 4,272 4,807 3,841 4,896 4,618 4,848 5,002 3,906 Clok the icon to view the table of Chi-Square critical values The confidence interval estimate is sec
sample Lhe the sample data to construct an 80% confidence interval estimate of a, the standard deviation of the duration times of game play. Assume that this sample was obtained from a population with a normal distribuion. Twehe diforent video games showing substance use were observed and the duration of times of game play (in seconds) are listed below. The design of the study justifies the assumption thet the sample can be trealed as a simple random Luestion Help 9 3,621 4,383 4,154 4,111 4,272 4,807 3,841 4,896 4,618 4,848 5,002 3,906 Clok the icon to view the table of Chi-Square critical values The confidence interval estimate is sec
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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Transcribed Image Text:From Donald B. Owen, Handbook of Statistical Tables, © 1962 Addison-Wesley Publishing Co., Reading, MA. Reprinted
Formulas and Tables by Mario F. Triola
Copyright 2010 Pearson Education, Inc.
TABLE A-4 Chi-Square () Distribution
Area to the Right of the Critical Value
Degrees
of
Freedom
0,995
0.025
0.01
0.005
0.99
0.975
0.95
0.90
0.10
0.05
3.841
5.024
6.635
7.879
0.001
0.004
0.016
2.706
0,010
0.020
5.991
7.378
9.210
10.597
0.051
0.103
0.211
4.605
3
0.072
0.115
6.251
7.815
9.348
11.345
12.838
0.216
0.352
0.584
4
0.207
11.143
13.277
14.860
0.297
0.484
0.711
1.064
7.779
9.488
0.412
0.554
11.071
12.833
15.086
16.750
0.831
1.145
1.610
9.236
6
0.676
0.872
12.592
14.449
16.812
18.548
1.237
1.635
2.204
10.645
0.989
14.067
16.013
18.475
20.278
1.239
1.690
2.167
2.833
12.017
8
1.344
1.646
13.362
15.507
17.535
20.090
21.955
2.180
2.733
3.490
9.
1.735
2.088
2.700
16.919
19.023
21.666
23.589
3.325
4.168
14.684
10
2.156
2.558
15.987
18.307
20.483
23.209
25.188
3.247
3.940
4.865
11
2.603
3.053
3.816
4.575
5.578
17.275
19.675
21.920
24.725
26.757
12
3.074
3.571
4.404
5.226
6.304
18.549
21.026
23.337
26.217
28.299
13
3.565
4.107
5.009
5.892
7.042
19.812
22.362
24.736
27.688
29.819
14
4.075
4.660
5.629
6.571
7.790
21,064
23.685
26.119
29.141
31.319
15
4.601
5.229
6.262
7.261
8.547
22.307
24.996
27.488
30.578
32.801
16
5.142
5.812
6.908
7.962
9.312
23.542
26.296
28.845
32.000
34.267
17
5.697
6.408
7.564
8.672
10.085
24.769
27.587
30.191
33.409
35.718
18
6.265
7.015
8.231
9.390
10.865
25.989
28.869
31.526
34,805
37.156
19
6.844
7.633
8.907
10.117
11.651
27.204
30.144
32.852
36.191
38.582
20
7.434
8.260
9.591
10.851
12.443
28.412
31.410
34.170
37.566
39.997
21
8.034
8.897
10.283
11.591
13.240
29.615
32.671
35.479
38.932
41.401
22
8.643
9.542
10.982
12.338
14.042
30.813
33.924
36.781
40.289
42.796
23
9.260
10.196
11.689
13.091
14.848
32.007
35.172
38.076
41.638
44.181
24
9.886
10.856
12.401
13.848
15.659
33.196
36.415
39.364
42.980
45.559
25
10.520
11.524
13.120
14.611
16.473
34.382
37.652
40.646
44.314
46.928
26
11.160
12.198
13.844
15.379
17.292
35.563
38.885
41.923
45.642
48.290
27
11.808
12.879
14.573
16.151
18.114
36.741
40.113
43.194
46.963
49.645
12.461
13.565
15.308
16.928
18.939
37,916
41.337
44.461
28
48.278
50.993
13.121
14.257
16.047
17.708
19.768
39.087
42.557
29
45.722
49.588
52.336
30
13.787
14.954
16.791
18.493
20.599
40.256
43.773
46.979
50.892
53.672
40
20.707
22.164
24.433
26.509
29.051
51.805
55.758
59.342
63.691
66.766
50
27.991
29.707
32.357
34.764
37.689
63.167
67,505
71.420
76.154
79.490
60
35.534
37.485
40.482
43.188
46.459
74.397
79.082
83.298
88.379
91.952
70
43.275
45.442
48.758
51.739
55.329
85.527
90.531
95.023
100.425
104.215
80
51.172
53.540
57.153
60.391
64.278
96.578
101,879
106.629
61.754
65,647
69.126
73.291
112.329
116.321
90
59.196
107.565
113.145
118.136
124.116
67.328
70.065
74.222
77.929
82.358
118.498
128.299
100
124.342
129.561
135.807
140.169
with permission of the publisher.
Degrees of Freedom
for confidence intervals or hypothesis tests with a standard deviation or variance
n - 1
k - 1
(- D(c - 1) for contingency tables with r rows and c columns
for goodness-of-fit with k categories
for Kruskal-Wallis test with k samples
k - 1

Transcribed Image Text:Luestion Heip9
sample LUse the sample data to construct an 80% confidence interval estimate of a, the standard deviation of the duration times of game play. Assume that this sample was obtained from a population with a normal distribution.
Twehe diferent video games showing substance use were observed and the duration of times of game play (in seconds) are listod below. The design of the study justifies the assumption that the sample can be trealed as a simple random
4,111
4,272
4,807
4,154
4,393
5,002
3,906
3,821
4,848
4.618
4,696
3,841
Click the icon to view the table of Chi-Square critical values
The confidence interval estimate is sec <a<sec.
(Round to one decimal place as needed.
Enter vour answer in each of the answer boxes
Exit Honorlock
MacBook Air
20
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F3
F5
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7
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