Answer number 3And number 4And number 5 TABLE D.1AREAS UNDER THE STANDARDIZED NORMAL DISTRIBUTIONExamplePr (0 sZ<1.96) = 0.4750%3DPr(Z 1.96) = 0.5 - 0.4750 0.0250.4750%3D1.96.00.01.02.03.04.05.06.07.08.090.0.0000.0040.0080.0120.0160.0199.0239.0279.0319.03590.1.0398.0438.0478.0517.0557.0596.0636.0675.0714.07530.2.0793.0832.0871.0910.0948.0987 .1026.1064.1103.11410.3.1179.1217.1255.1293.1331.1368.1406.1443.1480.15170.4.1554.1591.1628.1664.1700.1736.1772.1808.1844.18790.5.1915.1950.1985.2019.2054.2088.21232157.219022240.6.2257.2291.2324.2357.2389.2422.2454.2486.251725490.7.2580.2611.2642.2673.2704.2734.2764.2794282328520.8.2881.2910.2939.2967.2995.3023.3051.3078.3106.31330.9.3159.3186.3212.3238.3264.32893315.3340 .3365.33891.0.3413.3438.3461.3485.3508.3531.3554.3577.3599.36211.1.3643.3665.3686.3708.3729.3749.37703790.3810.38301.2.3849.3869.3888.3907.3925.3944.3962.3980 .399740151.3.4032.4049.4066.4082.4099.4115.4131.4147 .4162.41771.4.4192.4207.4222.4236.4251.4265.4279. 4292.4306.43191.5.4332.4345.4357.4370.438243944406.4418 .4429.44411.6.4452.4463.4474.4484.4495.45054515 .4525 .4535.45451.7.4454.4564.4573.4582.4591.4599.4608.4616.4625.46331.8.46414649.4656.4664467146784686.4693.4699.47061.9.4713.4719.4726.4732.4738.4744.4750.4756.4761.47672.0.4772.4778.4783.4788.4793.4798.4803.4808.4812.48172.1.4821.4826.4830.48344838.4842.4846.4850.4854.48572.2.4861 .4864.4868.4871.4875.487848814884.4887.48902.3.4893.4896.4898.4901.4904.49064909.4911.4913.49162.4.4918.4920.4922.4925.4927.4929.4931.4932.493449362.5.49384940.4941 .4943.4945.4946.4948.4949.4951.49522.6.4953 .4955 .4956.4957.4959.49604961 .4962.496349642.7.4965 .4966 4967.4968.4969.4970.49714972497349742.8.4974 .4975 .4976.4977.4977.497849794979498049812.9.4981.4982.4982.4983.4984.4984.49864990.49854985.49863.0.4987.4987.4987.4988.49884989498949894990Note: This table gives the area in the right-hand tail of the distribution (i.e., Z 0). But since the narmaldistribution is symmetrical about Z 0, the area in the left-hand tail is the same as the area in the correspondingright-hand tail. For example, P-1.96 Question FiveThe management of a supermarket wants to adopt a new promotional policy ofgiving free gift to every customer who spends more than a certain amount per visitat this supermarket. The expectation of the management is that after thispromotional policy is advertised, the expenditure for all customers at thissupermarket will be normally distributed with mean 400 £ and a variance of 900£?.1) If the management wants to give free gifts to at most 10% of the customers,what should the amount be above which a customer would receive a freegift?2) In a sample of 100 customers, what are the number of customers whoseexpenditure is between 420 £ and 485 £?3) What is a probability of selecting a customer whose expenditure is differ thanthe population mean expenditure by at most 50 £?4) In a sample of 49 customers, what are the number of customers whosemean expenditure is at least 410 £?5) What is the probability that the expenditure of the first customer exceeds theexpenditure of the second customer by at least 20 £?

Name: Answer number 3And number 4And number 5 TABLE D.1AREAS UNDER THE STAND
Uploaded: 2024-03-20T07:06:41.000Z
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Description: Answer number 3And number 4And number 5 TABLE D.1AREAS UNDER THE STANDARDIZED NORMAL DISTRIBUTIONExamplePr (0 sZ<1.96) = 0.4750%3DPr(Z 1.96) = 0.5 - 0.4750 0.0250.4750%3D1.96.00.01.02.03.04.05.06.07.08.090.0.0000.0040.0080.0120.0160.0199.0239.0279.03

3. The probability of selecting a customer whose expenditure is differe than the population mean…

Math

Statistics

Question Five The management of a supermarket wants to adopt a new promotional policy of giving free gift to every customer who spends more than a certain amount per visit at this supermarket. The expectation of the management is that after this promotional policy is advertised, the expenditure for all customers at this supermarket will be normally distributed with mean 400 £ and a variance of 900 £?. 1) If the management wants to give free gifts to at most 10% of the customers, what should the amount be above which a customer would receive a free gift? 2) In a sample of 100 customers, what are the number of customers whose expenditure is between 420 £ and 485 £? 3) What is a probability of selecting a customer whose expenditure is differ than the population mean expenditure by at most 50 £? 4) In a sample of 49 customers, what are the number of customers whose mean expenditure is at least 410 £? 5) What is the probability that the expenditure of the first customer exceeds the expenditure of the second customer by at least 20 £?

Question Five The management of a supermarket wants to adopt a new promotional policy of giving free gift to every customer who spends more than a certain amount per visit at this supermarket. The expectation of the management is that after this promotional policy is advertised, the expenditure for all customers at this supermarket will be normally distributed with mean 400 £ and a variance of 900 £?. 1) If the management wants to give free gifts to at most 10% of the customers, what should the amount be above which a customer would receive a free gift? 2) In a sample of 100 customers, what are the number of customers whose expenditure is between 420 £ and 485 £? 3) What is a probability of selecting a customer whose expenditure is differ than the population mean expenditure by at most 50 £? 4) In a sample of 49 customers, what are the number of customers whose mean expenditure is at least 410 £? 5) What is the probability that the expenditure of the first customer exceeds the expenditure of the second customer by at least 20 £?

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

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ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter4: Writing Linear Equations

Section: Chapter Questions

Problem 14CR

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Concept explainers

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

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Answer number 3

And number 4

And number 5

TABLE D.1
AREAS UNDER THE STANDARDIZED NORMAL DISTRIBUTION
Example
Pr (0 sZ<1.96) = 0.4750
%3D
Pr(Z 1.96) = 0.5 - 0.4750 0.025
0.4750
%3D
1.96
.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
.4454
.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
.4986
4990
.4985
4985
.4986
3.0
.4987
.4987
.4987
.4988
.4988
4989
4989
4989
4990
Note: This table gives the area in the right-hand tail of the distribution (i.e., Z 0). But since the narmal
distribution is symmetrical about Z 0, the area in the left-hand tail is the same as the area in the corresponding
right-hand tail. For example, P-1.96 <Zs 0) = 0.4750. Therefore, P(-1.96 < Z<1.96) = 2(0.4750)=0.95.
%3D
%3D
tab =
%3D
CS Scanned with CamScanner

Question Five
The management of a supermarket wants to adopt a new promotional policy of
giving free gift to every customer who spends more than a certain amount per visit
at this supermarket. The expectation of the management is that after this
promotional policy is advertised, the expenditure for all customers at this
supermarket will be normally distributed with mean 400 £ and a variance of 900
£?.
1) If the management wants to give free gifts to at most 10% of the customers,
what should the amount be above which a customer would receive a free
gift?
2) In a sample of 100 customers, what are the number of customers whose
expenditure is between 420 £ and 485 £?
3) What is a probability of selecting a customer whose expenditure is differ than
the population mean expenditure by at most 50 £?
4) In a sample of 49 customers, what are the number of customers whose
mean expenditure is at least 410 £?
5) What is the probability that the expenditure of the first customer exceeds the
expenditure of the second customer by at least 20 £?

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