A simple random sample of size n is drawn. The sample mean, x, is found to be 18.2, and the sample standard deviation, s, is found to be 4.5. Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about p if the sample size, n, is 35. Lower bound:; Upper bound: (Use ascending order. Round to two decimal places as needed.)
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
![A simple random sample of size n is drawn. The sample mean, x, is found to be 18.2, and the sample standard deviation, s, is found to be 4.5.
Click the icon to view the table of areas under the t-distribution.
(a) Construct a 95% confidence interval about u if the sample size, n, is 35.
Lower bound: ; Upper bound:
(Use ascending order. Round to two decimal places as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F573ed9f6-d6e0-426a-94e9-10a8d0b6c2c3%2Fb495f50e-067f-4f9d-a2cd-66b9f3a7c244%2F9u998qs_processed.jpeg&w=3840&q=75)
![-Distribution
Area in Right Tail
df
0.25
0.20
0.15
0.10
0.05
0.025
0.02
0.01
0.005
0.0025
0.001
0.0005
1.963
1.386
1.376
3.078
12.706
15.894
31.821
6.965
4.541
63.657
127.321
318.309
22.327
10.215
7.173
5.893
1.000
6.314
2.920
636.619
31.599
12.924
8.610
6.869
2
0.816
1.061
1.886
4.303
4.849
9.925
5.841
4.604
4.032
14.089
0.765
2.353
2.132
3.482
0.978
0.941
1.250
1.190
1.156
1.638
1.533
3.182
2.776
2.571
7.453
5.598
4
0.741
2.999
3.747
0.727
0.920
1.476
2.015
2.757
3.365
4.773
5.959
5.408
0.718
0.906
0.896
1.134
1.119
1.108
1.943
1.895
2.447
2.365
2.612
2.517
3.143
2.998
3.707
3.499
3.355
3.250
3.169
4.317
4.029
3.833
3.690
3.581
6
0.711
1.440
5.208
1.415
4.785
8
0.706
0.703
0.889
1.397
1.860
2.306
2.262
2.228
2.449
2.398
2.896
2.821
4.501
4.297
5.041
0.883
1.100
1.383
1.833
4.781
10
0.700
0.879
1.093
1.372
1.812
2.359
2.764
4.144
4.587
1.796
1.782
3.106
3.055
4.437
4.318
11
0.697
0.876
1.088
1.363
2.201
2.328
2.303
2.282
2.718
2.681
2.650
2.624
2.602
3.497
3.428
3.372
3.326
4.025
3.930
12
0.695
0.873
1.083
1.356
2.179
13
14
0.694
0.692
0.870
1.079
1.076
1.350 1.771
1.761
1.753
2.160
3.012
3.852
3.787
3.733
4.221
0.868
1.345
2.145
2.264
2.977
4.140
15
0.691
0.866
1.074
1.341
2.131
2.249
2.947
3.286
4.073
1.071
1.069
2.235
3.252
3.222
3.197
16
0.690
0.865
0.863
0.862
0.861
0.860
1.337
1.746
2.120
2.583
2.567
2.921
3.686
4.015
3.965
3.922
3.883
3.850
0.689
1.740
2.110
2.898
17
18
1.333
1.330
1.328
1.325
2.224
2.214
3.646
3.610
0.688
1.067
1.734
2.101
2.552
2.878
19
20
2.093
2.086
3.174
3.153
0.688
1.066
1.729
2.205
2.539
2.861
3.579
0.687
1.064
1.725
2.197
2.528
2.845
3.552
0.859
0.858
1.721
1.717
1.714
3.819
3.792
3.768
21
0.686
0.686
0.685
1.063
1.323
2.080
2.189
2.183
2.177
2.518
2.831
2.819
2.807
2.797
2.787
3.135
3.119
3.527
22
1.061
1.060
1.321
1.319
1.318
1.316
2.074
2.069
2.508
2.500
2.492
2.485
3.505
23
0.858
0.857
0.856
3.104
3.485
24
0.685
0.684
1.059
1.711
2.064
2.172
3.091
3.467
3.745
25
1.058
1.708
2.060
2.167
3.078
3.450
3.725
2.162
2.479
2.473
26
0.684
0.856
1.058
1.315
1.314
1.313
1.706
1.703
2.056
2.052
2.779
3.067
3.057
3.435
3.707
27
0.684
0.855
1.057
2.158
2.771
2.763
2.756
2.750
3.421
3.690
0.683
0.683
0.683
0.855
0.854
0.854
3.674
3.659
3.646
1.056
2.154
28
29
30
1.701
1.699
1.697
2.048
2.045
2.042
2.467
2.462
2.457
3.047
3.038
3.030
3.408
3.396
3.385
1.055
1.311
2.150
1.055
1.310
2.147
0.682
0.682
0.853
0.853
2.744
2.738
1.696
31
32
1.054
1.054
1.309
1.309
2.040
2.037
2.035
2.144
2.141
2.138
2.453
2.449
2.445
3.022
3.015
3.375
3.365
3.633
3.622
1.694
3.356
3.348
3.340
1.692
33
34
0.682
0.682
0.682
0.853
0.852
0.852
1.053
1.052
1.052
1.308
1.307
2.733
2.728
3.008
3.002
2.996
3.611
3.601
3.591
1.691
2.032
2.136
2.441
35
1.306
1.690
2.030
2.133
2.438
2.724
0.852
0.851
1.052
1.051
3.333
3.326
36
0.681
1.306
1.688
2.028
2.026
2.131
2.129
2.434
2,719
2.715
2.712
2.708
2.990
2.985
3.582
2.431
2.429
2.426
37
0.681
1.305
1.687
3.574
1.051
1.050
1.050
38
0.681
0.851
0.851
0.851
1.304
1.686
2.024
2.023
2.127
2.125
2.123
2.980
2.976
3.319
3.566
39
0.681
1.304
1.685
3.313
3.558
40
0.681
1.303
1.684
2.021
2.423
2.704
2.971
3.307
3.551
50
60
3.496
3.460
0.679
0.849
1.047
1.299
1.296
1.676
2.009
2.000
2.109
2.099
2.403
2.678
2.660
2.937
3.261
0.679
0.848
1.045
1.671
2.390
2.915
3.232
70
0.678
0.847
1.044
1.043
1.042
1.294
1.667
1.994
2.093
2.381
2.648
2.639
2.632
2.899
3.211
1.664
1.662
3.435
3.416
3.402
80
0.678
2.887
3.195
1.292
1.291
1.990
2.088
2.374
0.846
0.846
90
0.677
1.987
2.084
2.368
2.878
3.183
1.042
1.037
1.036
3.174
3.098
3.090
100
0.677
0.845
1.290
1.282
1.282
1.660
1.984
2.081
2.364
2.626
2.581
2.576
2.871
3.390
2.813
2.807
3.300
3.291
1000
0.675
0.674
0.842
1.646
1.962
2.056
2.054
2.330
0.842
1.645
1.960
2.326
df
0.25
0.20
0.15
0.10
0.05
0.025
0.02
0.01
0.005
0.0025
0.001
0.0005](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F573ed9f6-d6e0-426a-94e9-10a8d0b6c2c3%2Fb495f50e-067f-4f9d-a2cd-66b9f3a7c244%2Fnekqukt_processed.jpeg&w=3840&q=75)
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