From a percentage to a value: reading the table backwards

Statistics, grade 11 (4 units) Lesson 9 of 20Learning

From a percentage to a value: reading the table backwards

The way back

When the part is known and the value is wanted, the steps are taken from the end to the start:

the area to the left of the wanted value: if the part given is above the value, the area to the left is 1 minus that part;
inside the table – the number nearest that area, and from its row and column – $\displaystyle z$ ;
the value: $\displaystyle {x}={\mu+z\cdot\sigma}$ .

Example: the bottom percentages

The life of batteries is normally distributed, with mean 200 hours and standard deviation 15 hours.
The 2% of batteries with the shortest life count as faulty.
Below what life does a battery count as faulty?

The area to the left of the boundary is 0.02.
In the table, the number nearest 0.02 is 0.0202, in row $\displaystyle -2.0$ and column 5: $\displaystyle {z}={-2.05}$ .
$\displaystyle {x}={200-2.05\cdot15}={169.25}$ : a battery that works for less than 169.25 hours counts as faulty.

Example: the pass mark

The marks in the entrance exam for a computing course are normally distributed, with mean 53 and standard deviation 11.5.
4,500 people sat the exam, and only 900 of them were accepted.
From what mark were people accepted?

The part accepted: $\displaystyle {\frac{900}{4500}}={0.2}$ , above the pass mark.
The area to the left of the pass mark: $\displaystyle {1-0.2}={0.8}$ .
In the table, the nearest to 0.8 is 0.7995: $\displaystyle {z}={0.84}$ .
$\displaystyle {x}={53+0.84\cdot11.5}={62.66}$ : people were accepted from the mark 62.7, to one decimal place.

Exercise 1

IQ test scores are normally distributed, with mean 100 and standard deviation 15.
A programme for gifted pupils takes the top 10%.
From what score is a pupil accepted to the programme?

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – check and a new line · * – times · ^ – power, ↓ – end of the power

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – a new line · * – times · ^ – power, ↓ – end of the power

Exercise 2

The weight of apples in an orchard is normally distributed, with mean 180 grams and standard deviation 20 grams.
The 25% lightest apples are sent to a juice factory.
Up to what weight is an apple sent for juice?

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – check and a new line · * – times · ^ – power, ↓ – end of the power

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – a new line · * – times · ^ – power, ↓ – end of the power

Exercise 3

The marks in a maths exam are normally distributed.
At the first sitting the mean was 76.6, and the standard deviation 10.
At the second sitting the mean was 80, and the standard deviation 5.
Yossi sat the exam at both sittings and got the same mark at each.
At the first sitting, 77% of those who sat the exam got a lower mark than Yossi.

a

What is Yossi’s mark?

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – check and a new line · * – times · ^ – power, ↓ – end of the power

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – a new line · * – times · ^ – power, ↓ – end of the power

b

What percentage of those at the second sitting got a lower mark than Yossi?

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – check and a new line · * – times · ^ – power, ↓ – end of the power

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – a new line · * – times · ^ – power, ↓ – end of the power

Exercise 4

The height of 17-year-old girls is normally distributed, with mean 164 cm and standard deviation 6 cm.
We want the middle range, symmetric round the mean, that holds 80% of the girls.

a

What is the range’s lower boundary?

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – check and a new line · * – times · ^ – power, ↓ – end of the power

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – a new line · * – times · ^ – power, ↓ – end of the power

b

What is its upper boundary?

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – check and a new line · * – times · ^ – power, ↓ – end of the power

/ – fraction bar · Tab or the arrows – between numerator and denominator, then a note above or below · Enter – a new line · * – times · ^ – power, ↓ – end of the power

Formulas: statistics, grade 11 (4 units)

The mean and the standard deviation

The mean – $\displaystyle f_1, \dots, f_n$ the frequencies, $\displaystyle N$ the number of data
$\displaystyle \bar{x}=\frac{x_1f_1+x_2f_2+\dots+x_nf_n}{N}$
The standard deviation
$\displaystyle S=\sqrt{\frac{(x_1-\bar{x})^{2}f_1+(x_2-\bar{x})^{2}f_2+\dots+(x_n-\bar{x})^{2}f_n}{N}}$

The standard score

The standard score of the value $\displaystyle x$
$\displaystyle z=\frac{x-\bar{x}}{S}$
The value whose standard score is $\displaystyle z$
$\displaystyle x=\bar{x}+z\cdot S$

The normal distribution

The standard score in a normal distribution – $\displaystyle \mu$ the mean, $\displaystyle \sigma$ the standard deviation
$\displaystyle z=\frac{x-\mu}{\sigma}$
Within one standard deviation of the mean
$\displaystyle P(\mu-\sigma<X<\mu+\sigma)\approx68\%$
Within two standard deviations of the mean
$\displaystyle P(\mu-2\sigma<X<\mu+2\sigma)\approx95\%$
Above a standard score
$\displaystyle P(Z>z)=1-P(Z<z)$
The curve’s symmetry
$\displaystyle P(Z>z)=P(Z<-z)$
Between two standard scores
$\displaystyle P(z_1<Z<z_2)=P(Z<z_2)-P(Z<z_1)$

The cumulative standard normal table

In the table: the row – $\displaystyle z$ to its first decimal place; the column – the second. In a negative row the column goes further from 0: row $\displaystyle -1.2$ , column 3 holds $\displaystyle \Phi(-1.23)$ .
$\displaystyle \Phi(z)=P(Z<z)$

`z`	0	1	2	3	4	5	6	7	8	9
-3.0	0.0013	0.0013	0.0013	0.0012	0.0012	0.0011	0.0011	0.0011	0.0010	0.0010
-2.9	0.0019	0.0018	0.0018	0.0017	0.0016	0.0016	0.0015	0.0015	0.0014	0.0014
-2.8	0.0026	0.0025	0.0024	0.0023	0.0023	0.0022	0.0021	0.0021	0.0020	0.0019
-2.7	0.0035	0.0034	0.0033	0.0032	0.0031	0.0030	0.0029	0.0028	0.0027	0.0026
-2.6	0.0047	0.0045	0.0044	0.0043	0.0041	0.0040	0.0039	0.0038	0.0037	0.0036
-2.5	0.0062	0.0060	0.0059	0.0057	0.0055	0.0054	0.0052	0.0051	0.0049	0.0048
-2.4	0.0082	0.0080	0.0078	0.0075	0.0073	0.0071	0.0069	0.0068	0.0066	0.0064
-2.3	0.0107	0.0104	0.0102	0.0099	0.0096	0.0094	0.0091	0.0089	0.0087	0.0084
-2.2	0.0139	0.0136	0.0132	0.0129	0.0125	0.0122	0.0119	0.0116	0.0113	0.0110
-2.1	0.0179	0.0174	0.0170	0.0166	0.0162	0.0158	0.0154	0.0150	0.0146	0.0143
-2.0	0.0228	0.0222	0.0217	0.0212	0.0207	0.0202	0.0197	0.0192	0.0188	0.0183
-1.9	0.0287	0.0281	0.0274	0.0268	0.0262	0.0256	0.0250	0.0244	0.0239	0.0233
-1.8	0.0359	0.0351	0.0344	0.0336	0.0329	0.0322	0.0314	0.0307	0.0301	0.0294
-1.7	0.0446	0.0436	0.0427	0.0418	0.0409	0.0401	0.0392	0.0384	0.0375	0.0367
-1.6	0.0548	0.0537	0.0526	0.0516	0.0505	0.0495	0.0485	0.0475	0.0465	0.0455
-1.5	0.0668	0.0655	0.0643	0.0630	0.0618	0.0606	0.0594	0.0582	0.0571	0.0559
-1.4	0.0808	0.0793	0.0778	0.0764	0.0749	0.0735	0.0721	0.0708	0.0694	0.0681
-1.3	0.0968	0.0951	0.0934	0.0918	0.0901	0.0885	0.0869	0.0853	0.0838	0.0823
-1.2	0.1151	0.1131	0.1112	0.1093	0.1075	0.1056	0.1038	0.1020	0.1003	0.0985
-1.1	0.1357	0.1335	0.1314	0.1292	0.1271	0.1251	0.1230	0.1210	0.1190	0.1170
-1.0	0.1587	0.1562	0.1539	0.1515	0.1492	0.1469	0.1446	0.1423	0.1401	0.1379
-0.9	0.1841	0.1814	0.1788	0.1762	0.1736	0.1711	0.1685	0.1660	0.1635	0.1611
-0.8	0.2119	0.2090	0.2061	0.2033	0.2005	0.1977	0.1949	0.1922	0.1894	0.1867
-0.7	0.2420	0.2389	0.2358	0.2327	0.2296	0.2266	0.2236	0.2206	0.2177	0.2148
-0.6	0.2743	0.2709	0.2676	0.2643	0.2611	0.2578	0.2546	0.2514	0.2483	0.2451
-0.5	0.3085	0.3050	0.3015	0.2981	0.2946	0.2912	0.2877	0.2843	0.2810	0.2776
-0.4	0.3446	0.3409	0.3372	0.3336	0.3300	0.3264	0.3228	0.3192	0.3156	0.3121
-0.3	0.3821	0.3783	0.3745	0.3707	0.3669	0.3632	0.3594	0.3557	0.3520	0.3483
-0.2	0.4207	0.4168	0.4129	0.4090	0.4052	0.4013	0.3974	0.3936	0.3897	0.3859
-0.1	0.4602	0.4562	0.4522	0.4483	0.4443	0.4404	0.4364	0.4325	0.4286	0.4247
-0.0	0.5000	0.4960	0.4920	0.4880	0.4840	0.4801	0.4761	0.4721	0.4681	0.4641
0.0	0.5000	0.5040	0.5080	0.5120	0.5160	0.5199	0.5239	0.5279	0.5319	0.5359
0.1	0.5398	0.5438	0.5478	0.5517	0.5557	0.5596	0.5636	0.5675	0.5714	0.5753
0.2	0.5793	0.5832	0.5871	0.5910	0.5948	0.5987	0.6026	0.6064	0.6103	0.6141
0.3	0.6179	0.6217	0.6255	0.6293	0.6331	0.6368	0.6406	0.6443	0.6480	0.6517
0.4	0.6554	0.6591	0.6628	0.6664	0.6700	0.6736	0.6772	0.6808	0.6844	0.6879
0.5	0.6915	0.6950	0.6985	0.7019	0.7054	0.7088	0.7123	0.7157	0.7190	0.7224
0.6	0.7257	0.7291	0.7324	0.7357	0.7389	0.7422	0.7454	0.7486	0.7517	0.7549
0.7	0.7580	0.7611	0.7642	0.7673	0.7704	0.7734	0.7764	0.7794	0.7823	0.7852
0.8	0.7881	0.7910	0.7939	0.7967	0.7995	0.8023	0.8051	0.8078	0.8106	0.8133
0.9	0.8159	0.8186	0.8212	0.8238	0.8264	0.8289	0.8315	0.8340	0.8365	0.8389
1.0	0.8413	0.8438	0.8461	0.8485	0.8508	0.8531	0.8554	0.8577	0.8599	0.8621
1.1	0.8643	0.8665	0.8686	0.8708	0.8729	0.8749	0.8770	0.8790	0.8810	0.8830
1.2	0.8849	0.8869	0.8888	0.8907	0.8925	0.8944	0.8962	0.8980	0.8997	0.9015
1.3	0.9032	0.9049	0.9066	0.9082	0.9099	0.9115	0.9131	0.9147	0.9162	0.9177
1.4	0.9192	0.9207	0.9222	0.9236	0.9251	0.9265	0.9279	0.9292	0.9306	0.9319
1.5	0.9332	0.9345	0.9357	0.9370	0.9382	0.9394	0.9406	0.9418	0.9429	0.9441
1.6	0.9452	0.9463	0.9474	0.9484	0.9495	0.9505	0.9515	0.9525	0.9535	0.9545
1.7	0.9554	0.9564	0.9573	0.9582	0.9591	0.9599	0.9608	0.9616	0.9625	0.9633
1.8	0.9641	0.9649	0.9656	0.9664	0.9671	0.9678	0.9686	0.9693	0.9699	0.9706
1.9	0.9713	0.9719	0.9726	0.9732	0.9738	0.9744	0.9750	0.9756	0.9761	0.9767
2.0	0.9772	0.9778	0.9783	0.9788	0.9793	0.9798	0.9803	0.9808	0.9812	0.9817
2.1	0.9821	0.9826	0.9830	0.9834	0.9838	0.9842	0.9846	0.9850	0.9854	0.9857
2.2	0.9861	0.9864	0.9868	0.9871	0.9875	0.9878	0.9881	0.9884	0.9887	0.9890
2.3	0.9893	0.9896	0.9898	0.9901	0.9904	0.9906	0.9909	0.9911	0.9913	0.9916
2.4	0.9918	0.9920	0.9922	0.9925	0.9927	0.9929	0.9931	0.9932	0.9934	0.9936
2.5	0.9938	0.9940	0.9941	0.9943	0.9945	0.9946	0.9948	0.9949	0.9951	0.9952
2.6	0.9953	0.9955	0.9956	0.9957	0.9959	0.9960	0.9961	0.9962	0.9963	0.9964
2.7	0.9965	0.9966	0.9967	0.9968	0.9969	0.9970	0.9971	0.9972	0.9973	0.9974
2.8	0.9974	0.9975	0.9976	0.9977	0.9977	0.9978	0.9979	0.9979	0.9980	0.9981
2.9	0.9981	0.9982	0.9982	0.9983	0.9984	0.9984	0.9985	0.9985	0.9986	0.9986
3.0	0.9987	0.9987	0.9987	0.9988	0.9988	0.9989	0.9989	0.9989	0.9990	0.9990

The correlation coefficient

From raw data
$\displaystyle r=\frac{1}{N\cdot S_x\cdot S_y}\left[(x_1-\bar{x})(y_1-\bar{y})+\dots+(x_N-\bar{x})(y_N-\bar{y})\right]$
From standardised data – $\displaystyle z_x$ , $\displaystyle z_y$ the standard scores
$\displaystyle r=\frac{1}{N}\left[(z_x)_1(z_y)_1+\dots+(z_x)_N(z_y)_N\right]$
Always between $\displaystyle -1$ and $\displaystyle 1$
$\displaystyle -1\le r\le1$

The regression line

The slope of the regression line
$\displaystyle m=r\cdot\frac{S_y}{S_x}$
The regression line predicting $\displaystyle y$ from $\displaystyle x$ – through the point of the means
$\displaystyle y-\bar{y}=m(x-\bar{x})$