# Homelessness

Homelessness. Statistics

Question 1

Select the same social issue (homelessness)in two countries.

1. Collect 8 years of data on the issue from each of the two countries, where appropriate.

homelessness

 USA UK 2010 233534 1768 2011 231472 2181 2012 231398 2309 2013 195666 2414 2014 175399 2744 2015 173268 3569 2016 176357 4134 2017 192875 4751

1. Compute the following descriptive statistics for the data collected:

 Column1 Column1 Mean 201246.125 2983.75 Standard Error 9483.799513 371.978386 Median 194270.5 2579 Mode #N/A #N/A Standard Deviation 26824.23579 1052.113757 Sample Variance 719539625.6 1106943.357 Kurtosis -2.120851185 -0.832156376 Skewness 0.329023081 0.723153076 Range 60266 2983 Minimum 173268 1768 Maximum 233534 4751 Sum 1609969 23870 Count 8 8

 Descriptive Statistics USA(Variable X) UK(Variable Y) i)       Mean 201246.125 2983.75 ii)     Standard Deviation 26824.23579 1052.113757 iii)   Coefficient of Variation 0.133291 0.352615 iv)   Covariance (between X and Y) v)      Coefficient of correlation (between X and Y)

1. Justify in which country the social issue is more serious, based on the data themselves and, where appropriate, the numerical descriptive statistics in b).

(2 marks)

Country:____________________________________

Reason:_____________________________________

1. Justify whether the social issue, based on the data themselves and, where appropriate, the numerical descriptive statistics in b), is a common phenomenon (viz. correlated) between the two countries.

Justification:_________________________________

1. Imagine you are the prime minister of one of the two countries.

Justify or “lie” that the social issue had improved under your administration, with

1. An appropriate graphical method (e.g. bar chart; histogram; line chart) and its interpretations

1. The data themselves and, where appropriate, the numerical descriptive statistics in b) and their interpretations.

1. i) Justify / “lie” with the graphical presentation of data:

___________________________________

1. ii) Justify / “lie” with the data themselves and, where appropriate, the numerical descriptive statistics in b). You might like to further support your answer with qualitative considerations like government policies implemented, changes in population and social demographics, and alike:

___________________________________

1. Select one of the two countries, and suggest a plausible factor that, in the Group’s opinion, has contributed most to the social issue.

Explain the causation between the social issue and the factor the Group has suggested.

1. Factor:

___________________________________

1. Explanation of the causation:

___________________________________

1. Imagine you are the president of the HumanRightsCommission of United Nations.

You would like to test whether the claimby the President is supported by evidence.

Set up  and to test the claim.

Note: µ is the unknown and hence assumed parameter mean for Variable X or Y.

1. (in the form of  : µ = a numerical value which you need to justify from the data collected)

:  µ = ?

President’s claim (he / she had done a good, average or bad job in mitigating the social issue):

_________________________________________

Justification of the numerical value of µ: ________

1. (in the form of :  µ ≠, > or <  the numerical value in )

:  µ =, ≠, > or <?

Justification of the choice of ≠, > or <:________

Question 2

What is the most important lesson you have learnt in presenting and interpreting statistical data from undertaking the assignment, especially e)?  Please explain.

1. Lesson:

___________________________________________

1. Explanation:

____________________________________________

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Homelessness