1159 Words5 Pages

Introduction
Purpose of this Project,to find out the releationship between population and the square of countries is tried to be understood.
This Project includes 129 observations and 30 samples.We tested with 95% cofidence interval
Step 1:State null and alternate hypotheses
Step 2:Select a level of significance
Step 3:Identify the test statistic
Step 4:Formulate a decision rule
Step 5:Take a sample,arrive at a decision
Step 1 Hypothesis Test:
Ho:The average population of countries is equal or less than 39.786.098
H1:The average population of countries is more than 39.786.098
Step 2The significance level is 0.05
Step 3Because the sample is 30,z distribution has been used
Step 4Reject Ho if z>-1.96 or z<-1.96 or if*…show more content…*

ria | Lithuania | Mauritania | Mongolia | Albania | Armenia | Jamaica | Kuwait | Latvia | Namibia | Macedonia | Botswana | Lesotho | Kosovo | Gambia | Guinea-Bissau | Gabon | Mauritius | Estonia | Bahrain | Cyprus | Fiji | Comoros | Djibouti | Guyana | Bhutan | Equatorial Guinea | Montenegro | Cape Verde | Luxembourg | Malta | Brunei | Maldives | Belize | Bahamas, The | Iceland | Barbados | Grenada | Micronesia, Federated States of | Kiribati | Antigua and Barbuda | Andorra | Dominica | Marshall Islands | Liechtenstein | Monaco | Population Descriptive Statistics: Column1 | | | Mean | 39786098,5 | Standard Error | 14001122,25 | Median | 6508271 | Mode | #YOK | Standard Deviation | 159022180 | Sample Variance | 2,52881E+16 | Kurtosis | 55,5365861 | Skewness | 7,327371857 | Range | 1336687476 | Minimum | 30539 | Maximum | 1336718015 | Sum | 5132406706 | Count | 129 | Confidence Level(95,0%) | 27703612,09 | To find out column 1’s elements,we used descriptive statistic for population Formuller yazılacak buraya | Regression Analysis of Population and Sample SUMMARY OUTPUT | | | | | | | | | | | | | | | | | | | Regression Statistics | | | | | | | | | Multiple R | 0,53126 | | | | | | | | | R Square | 0,282237 | | | | | | | | | Adjusted R Square | 0,276585 | | | | | | | | |

ria | Lithuania | Mauritania | Mongolia | Albania | Armenia | Jamaica | Kuwait | Latvia | Namibia | Macedonia | Botswana | Lesotho | Kosovo | Gambia | Guinea-Bissau | Gabon | Mauritius | Estonia | Bahrain | Cyprus | Fiji | Comoros | Djibouti | Guyana | Bhutan | Equatorial Guinea | Montenegro | Cape Verde | Luxembourg | Malta | Brunei | Maldives | Belize | Bahamas, The | Iceland | Barbados | Grenada | Micronesia, Federated States of | Kiribati | Antigua and Barbuda | Andorra | Dominica | Marshall Islands | Liechtenstein | Monaco | Population Descriptive Statistics: Column1 | | | Mean | 39786098,5 | Standard Error | 14001122,25 | Median | 6508271 | Mode | #YOK | Standard Deviation | 159022180 | Sample Variance | 2,52881E+16 | Kurtosis | 55,5365861 | Skewness | 7,327371857 | Range | 1336687476 | Minimum | 30539 | Maximum | 1336718015 | Sum | 5132406706 | Count | 129 | Confidence Level(95,0%) | 27703612,09 | To find out column 1’s elements,we used descriptive statistic for population Formuller yazılacak buraya | Regression Analysis of Population and Sample SUMMARY OUTPUT | | | | | | | | | | | | | | | | | | | Regression Statistics | | | | | | | | | Multiple R | 0,53126 | | | | | | | | | R Square | 0,282237 | | | | | | | | | Adjusted R Square | 0,276585 | | | | | | | | |

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