STATISTICS (NURS4302) School of Nursing, The University of...
Transcript of STATISTICS (NURS4302) School of Nursing, The University of...
HKU/SON/2018 1
STATISTICS (NURS4302) School of Nursing, The University of Hong Kong
Formula Sheet
1. If ),(~ pnBinX , then mean = np and standard deviation = )1( pnp − .
2. If ),(~ 2σµNX , then mean = µ and standard deviation =σ .
3. A (1-α)100% confidence interval for a population mean is
))2/,(,)2/,(( SEMdftXSEMdftX αα +− where X = sample mean, SEM = sample standard error for the mean (= nSD / ), )2/,( αdft = t critical value from a t distribution, df = degrees of freedom = n-1, α = level of significance.
4. A (1-α)100% confidence interval for a population proportion is
))2/(,)2/(( SEPzpSEPzp αα +− where p = sample proportion
SEP = sample standard error for the proportion, i.e. npp /)1( − ,
)2/(αz = z value from the standard normal distribution, α is called the level of significance.
5. A (1-α)100% confidence interval for the difference between two population means is
))2/,(,)2/,((2121 2121 XXXX sedftXXsedftXX
−−+−−− αα
where ⎟⎟⎠
⎞⎜⎜⎝
⎛+=
−2
22
1
21
21 nSD
nSD
se XX and ( )
( ) ( )1/
1/
2
22
22
1
21
21
2
2
22
1
21
−+
−
+=
nnSD
nnSD
df nSD
nSD
.
6. A (1-α)100% confidence interval for the difference between two population proportions is
( 1p - 2p - )2/(αz2
22
1
11 )1()1(npp
npp −
+−
, 1p - 2p + )2/(αz2
22
1
11 )1()1(npp
npp −
+−
)
where )2/(αz is a critical value from the standard Normal distribution, and 1n and
2n are the sample sizes of groups 1 and 2 respectively.
7. When testing 00 : µµ =H , the test statistics is
nSDX
T/
0µ−=
which follows a t-distribution with degrees of freedom = n – 1.
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8. For testing 210 : µµ =H , the test statistics is
21
21
XXseXXT−
−=
where ⎟⎟⎠
⎞⎜⎜⎝
⎛+=
−2
22
1
21
21 nSD
nSD
se XX. Under 0H , T follows a t-distribution with degrees
of freedom equal ( )( ) ( )
1/
1/
2
22
22
1
21
21
2
2
22
1
21
−+
−
+=
nnSD
nnSD
df nSD
nSD
.
9. The test statistics for a 2χ test is
∑−
=expected
)expectedobserved( 22X
which follows a chi-square distribution with degrees of freedom equals to (no. of rows – 1)(no. of columns – 1).
10. Cramer’s V index = )1(
2
−=
knXV where 2X is the test statistics of the 2χ test
and k is the minimum of the numbers of rows and columns.
11. The Pearson correlation coefficient is
∑∑∑
==
=
−−
−−=
n
i in
i i
in
i i
YYXX
YYXXr
122
1
1
)()(
))(( =
))((1
221
22
1
∑∑∑
==
=
−−
−n
i in
i i
in
i i
YnYXnX
YXnYX.
12. When testing 0:0 =ρH , the test statistics is
212r
nrt−
−=
which follows a t-distribution with degrees of freedom = n – 2.
13. For a simple linear regression with regression equation: bXaY += ,
∑∑
=
=
−
−−= n
i i
n
i ii
XX
YYXXb
12
1
)(
))(( =
∑∑
=
=
−
−n
i i
n
i ii
XnX
YXnYX
122
1 , and XbYa −= .
14. Classification of correlation
0.90 – 1.00 0.70 – 0.89 0.50 – 0.69 0.30 – 0.49 0.00 – 0.29
15. Classification of Cramer’s V index
0.75 – 1.00 0.50 – 0.74 0.25 – 0.49 0.00 – 0.24
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Table 1. Standard Normal Table
z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09
0.0 .0000 .0040 .0080 .0120 .0160 .0199 .0239 .0279 .0319 .0359 0.1 .0398 .0438 .0478 .0517 .0557 .0596 .0636 .0675 .0714 .0753 0.2 .0793 .0832 .0871 .0910 .0948 .0987 .1026 .1064 .1103 .1141 0.3 .1179 .1217 .1255 .1293 .1331 .1368 .1406 .1443 .1480 .1517 0.4 .1554 .1591 .1628 .1664 .1700 .1736 .1772 .1808 .1844 .1879
0.5 .1915 .1950 .1985 .2019 .2054 .2088 .2123 .2157 .2190 .2224 0.6 .2257 .2291 .2324 .2357 .2389 .2422 .2454 .2486 .2517 .2549 0.7 .2580 .2611 .2642 .2673 .2704 .2734 .2764 .2794 .2823 .2852 0.8 .2881 .2910 .2939 .2967 .2995 .3023 .3051 .3078 .3106 .3133 0.9 .3159 .3186 .3212 .3238 .3264 .3289 .3315 .3340 .3365 .3389
1.0 .3413 .3438 .3461 .3485 .3508 .3531 .3554 .3577 .3599 .3621 1.1 .3643 .3665 .3686 .3708 .3729 .3749 .3770 .3790 .3810 .3830 1.2 .3849 .3869 .3888 .3907 .3925 .3944 .3962 .3980 .3997 .4015 1.3 .4032 .4049 .4066 .4082 .4099 .4115 .4131 .4147 .4162 .4177 1.4 .4192 .4207 .4222 .4236 .4251 .4265 .4279 .4292 .4306 .4319
1.5 .4332 .4345 .4357 .4370 .4382 .4394 .4406 .4418 .4429 .4441 1.6 .4452 .4463 .4474 .4484 .4495 .4505 .4515 .4525 .4535 .4545 1.7 .4554 .4564 .4573 .4582 .4591 .4599 .4608 .4616 .4625 .4633 1.8 .4641 .4649 .4656 .4664 .4671 .4678 .4686 .4693 .4699 .4706 1.9 .4713 .4719 .4726 .4732 .4738 .4744 .4750 .4756 .4761 .4767
2.0 .4772 .4778 .4783 .4788 .4793 .4798 .4803 .4808 .4812 .4817 2.1 .4821 .4826 .4830 .4834 .4838 .4842 .4846 .4850 .4854 .4857 2.2 .4861 .4864 .4868 .4871 .4875 .4878 .4881 .4884 .4887 .4890 2.3 .4893 .4896 .4898 .4901 .4904 .4906 .4909 .4911 .4913 .4916 2.4 .4918 .4920 .4922 .4925 .4927 .4929 .4931 .4932 .4934 .4936
2.5 .4938 .4940 .4941 .4943 .4945 .4946 .4948 .4949 .4951 .4952 2.6 .4953 .4955 .4956 .4957 .4959 .4960 .4961 .4962 .4963 .4964 2.7 .4965 .4966 .4967 .4968 .4969 .4970 .4971 .4972 .4973 .4974 2.8 .4974 .4975 .4976 .4977 .4977 .4978 .4979 .4979 .4980 .4981 2.9 .4981 .4982 .4982 .4983 .4984 .4984 .4985 .4985 .4986 .4986
3.0 .4987 .4987 .4987 .4988 .4988 .4989 .4989 .4989 .4990 .4990 3.1 .4990 .4991 .4991 .4991 .4992 .4992 .4992 .4992 .4993 .4993 3.2 .4993 .4993 .4994 .4994 .4994 .4994 .4994 .4995 .4995 .4995 3.3 .4995 .4995 .4995 .4996 .4996 .4996 .4996 .4996 .4996 .4997 3.4 .4997 .4997 .4997 .4997 .4997 .4997 .4997 .4997 .4997 .4998
Example: 𝑃 0 < 𝑍 < 1.96 = 0.475.
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Table 2. Standard Normal table
Area .000 .001 .002 .003 .004 .005 .006 .007 .008 .009
0.00 .0000 .0025 .0050 .0075 .0100 .0125 .0150 .0175 .0200 .0225 0.01 .0250 .0275 .0300 .0325 .0350 .0376 .0401 .0426 .0451 .0476 0.02 .0501 .0526 .0551 .0576 .0601 .0627 .0652 .0677 .0702 .0727 0.03 .0752 .0777 .0802 .0828 .0853 .0878 .0903 .0928 .0953 .0979 0.04 .1004 .1029 .1054 .1079 .1105 .1130 .1155 .1180 .1206 .1231
0.05 .1256 .1281 .1307 .1332 .1357 .1383 .1408 .1433 .1459 .1484 0.06 .1509 .1535 .1560 .1585 .1611 .1636 .1661 .1687 .1712 .1738 0.07 .1763 .1789 .1814 .1840 .1865 .1891 .1916 .1942 .1967 .1993 0.08 .2018 .2044 .2070 .2095 .2121 .2147 .2172 .2198 .2224 .2249 0.09 .2275 .2301 .2326 .2352 .2378 .2404 .2430 .2455 .2481 .2507
0.10 .2533 .2559 .2585 .2611 .2637 .2663 .2689 .2715 .2741 .2767 0.11 .2793 .2819 .2845 .2871 .2897 .2923 .2949 .2976 .3002 .3028 0.12 .3054 .3081 .3107 .3133 .3160 .3186 .3212 .3239 .3265 .3292 0.13 .3318 .3345 .3371 .3398 .3424 .3451 .3477 .3504 .3531 .3557 0.14 .3584 .3611 .3638 .3664 .3691 .3718 .3745 .3772 .3799 .3826
0.15 .3853 .3880 .3907 .3934 .3961 .3988 .4015 .4042 .4070 .4097 0.16 .4124 .4151 .4179 .4206 .4234 .4261 .4288 .4316 .4343 .4371 0.17 .4399 .4426 .4454 .4482 .4509 .4537 .4565 .4593 .4621 .4649 0.18 .4676 .4704 .4732 .4761 .4789 .4817 .4845 .4873 .4901 .4930 0.19 .4958 .4986 .5015 .5043 .5072 .5100 .5129 .5157 .5186 .5215
0.20 .5244 .5272 .5301 .5330 .5359 .5388 .5417 .5446 .5475 .5504 0.21 .5533 .5563 .5592 .5621 .5651 .5680 .5709 .5739 .5769 .5798 0.22 .5828 .5858 .5887 .5917 .5947 .5977 .6007 .6037 .6067 .6097 0.23 .6128 .6158 .6188 .6219 .6249 .6280 .6310 .6341 .6371 .6402 0.24 .6433 .6464 .6495 .6526 .6557 .6588 .6619 .6650 .6682 .6713
0.25 .6744 .6776 .6807 .6839 .6871 .6903 .6934 .6966 .6998 .7030 0.26 .7063 .7095 .7127 .7159 .7192 .7224 .7257 .7290 .7322 .7355 0.27 .7388 .7421 .7454 .7487 .7520 .7554 .7587 .7621 .7654 .7688 0.28 .7721 .7755 .7789 .7823 .7857 .7891 .7926 .7960 .7995 .8029 0.29 .8064 .8098 .8133 .8168 .8203 .8238 .8274 .8309 .8344 .8380
0.30 .8416 .8451 .8487 .8523 .8559 .8596 .8632 .8668 .8705 .8742 0.31 .8778 .8815 .8852 .8890 .8927 .8964 .9002 .9039 .9077 .9115 0.32 .9153 .9191 .9230 .9268 .9307 .9345 .9384 .9423 .9462 .9502 0.33 .9541 .9581 .9620 .9660 .9700 .9741 .9781 .9822 .9862 .9903 0.34 .9944 .9985 1.003 1.007 1.011 1.015 1.019 1.024 1.028 1.032
0.35 1.036 1.041 1.045 1.049 1.054 1.058 1.063 1.067 1.071 1.076 0.36 1.080 1.085 1.089 1.094 1.098 1.103 1.108 1.112 1.117 1.122 0.37 1.126 1.131 1.136 1.141 1.146 1.150 1.155 1.160 1.165 1.170 0.38 1.175 1.180 1.185 1.190 1.195 1.200 1.206 1.211 1.216 1.221 0.39 1.227 1.232 1.237 1.243 1.248 1.254 1.259 1.265 1.270 1.276
0.40 1.282 1.287 1.293 1.299 1.305 1.311 1.317 1.323 1.329 1.335 0.41 1.341 1.347 1.353 1.359 1.366 1.372 1.379 1.385 1.392 1.398 0.42 1.405 1.412 1.419 1.426 1.433 1.440 1.447 1.454 1.461 1.468 0.43 1.476 1.483 1.491 1.499 1.506 1.514 1.522 1.530 1.538 1.546 0.44 1.555 1.563 1.572 1.580 1.589 1.598 1.607 1.616 1.626 1.635
0.45 1.645 1.655 1.665 1.675 1.685 1.695 1.706 1.717 1.728 1.739 0.46 1.751 1.762 1.774 1.787 1.799 1.812 1.825 1.838 1.852 1.866 0.47 1.881 1.896 1.911 1.927 1.943 1.960 1.977 1.995 2.014 2.034 0.48 2.054 2.075 2.097 2.120 2.144 2.170 2.197 2.226 2.257 2.290 0.49 2.326 2.366 2.409 2.457 2.512 2.576 2.652 2.748 2.878 3.090
Example: For 𝑃 0 < 𝑍 < 𝑧 = 0.475, 𝑧 = 1.96.
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Table 3. t Table
Level of significance for one-sided tests 0.10 0.05 0.025 0.01 0.005
df Level of significance for two-sided tests 0.20 0.10 0.05 0.02 0.01
1 3.078 6.314 12.706 31.821 63.657 2 1.886 2.920 4.303 6.965 9.925 3 1.638 2.353 3.182 4.541 5.841 4 1.533 2.132 2.776 3.747 4.604 5 1.476 2.015 2.571 3.365 4.032
6 1.440 1.943 2.447 3.143 3.707 7 1.415 1.895 2.365 2.998 3.499 8 1.397 1.860 2.306 2.896 3.355 9 1.383 1.833 2.262 2.821 3.250
10 1.372 1.812 2.228 2.764 3.169
11 1.363 1.796 2.201 2.718 3.106 12 1.356 1.782 2.179 2.681 3.055 13 1.350 1.771 2.160 2.650 3.012 14 1.345 1.761 2.145 2.624 2.977 15 1.341 1.753 2.131 2.602 2.947
16 1.337 1.746 2.120 2.583 2.921 17 1.333 1.740 2.110 2.567 2.898 18 1.330 1.734 2.101 2.552 2.878 19 1.328 1.729 2.093 2.539 2.861 20 1.325 1.725 2.086 2.528 2.845
21 1.323 1.721 2.080 2.518 2.831 22 1.321 1.717 2.074 2.508 2.819 23 1.319 1.714 2.069 2.500 2.807 24 1.318 1.711 2.064 2.492 2.797 25 1.316 1.708 2.060 2.485 2.787
26 1.315 1.706 2.056 2.479 2.779 27 1.314 1.703 2.052 2.473 2.771 28 1.313 1.701 2.048 2.467 2.763 29 1.311 1.699 2.045 2.462 2.756 30 1.310 1.697 2.042 2.457 2.750
40 1.303 1.684 2.021 2.423 2.704 50 1.299 1.676 2.009 2.403 2.678 60 1.296 1.671 2.000 2.390 2.660 70 1.294 1.667 1.994 2.381 2.648 80 1.292 1.664 1.990 2.374 2.639
90 1.291 1.662 1.987 2.368 2.632
100 1.290 1.660 1.984 2.364 2.626 110 1.289 1.659 1.982 2.361 2.621 120 1.289 1.658 1.980 2.358 2.617 ∞ 1.282 1.645 1.960 2.326 2.576
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Table 4. z Table
Level of significance for one-sided tests 0.10 0.05 0.025 0.01 0.005 0.001 0.0005
Level of significance for two-sided tests 0.20 0.10 0.05 0.02 0.01 0.002 0.001
1.2816 1.6449 1.9600 2.3263 2.5758 3.0903 3.2906
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Table 5. 2χ table
Level of significance df 0.05 0.025 0.01 0.005 0.001
1 3.84 5.02 6.63 7.88 10.83 2 5.99 7.38 9.21 10.60 13.82 3 7.81 9.35 11.34 12.84 16.27 4 9.49 11.14 13.28 14.86 18.47 5 11.07 12.83 15.09 16.75 20.52
6 12.59 14.45 16.81 18.55 22.46 7 14.07 16.01 18.48 20.28 24.32 8 15.51 17.53 20.09 21.95 26.12 9 16.92 19.02 21.67 23.59 27.88
10 18.31 20.48 23.21 25.19 29.59
11 19.68 21.92 24.72 26.76 31.26 12 21.03 23.34 26.22 28.30 32.91 13 22.36 24.74 27.69 29.82 34.53 14 23.68 26.12 29.14 31.32 36.12 15 25.00 27.49 30.58 32.80 37.70
16 26.30 28.85 32.00 34.27 39.25 17 27.59 30.19 33.41 35.72 40.79 18 28.87 31.53 34.81 37.16 42.31 19 30.14 32.85 36.19 38.58 43.82 20 31.41 34.17 37.57 40.00 45.31
21 32.67 35.48 38.93 41.40 46.80 22 33.92 36.78 40.29 42.80 48.27 23 35.17 38.08 41.64 44.18 49.73 24 36.42 39.36 42.98 45.56 51.18 25 37.65 40.65 44.31 46.93 52.62
26 38.89 41.92 45.64 48.29 54.05 27 40.11 43.19 46.96 49.64 55.48 28 41.34 44.46 48.28 50.99 56.89 29 42.56 45.72 49.59 52.34 58.30 30 43.77 46.98 50.89 53.67 59.70
40 55.76 59.34 63.69 66.77 73.40 50 67.50 71.42 76.15 79.49 86.66 60 79.08 83.30 88.38 91.95 99.61 70 90.53 95.02 100.43 104.21 112.32 80 101.88 106.63 112.33 116.32 124.84
90 113.15 118.14 124.12 128.30 137.21
100 124.34 129.56 135.81 140.17 149.45 110 135.48 140.92 147.41 151.95 161.58 120 146.57 152.21 158.95 163.65 173.62 130 157.61 163.45 170.42 175.28 185.57