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Lnk between Literacy and Unemployment - Research Paper Example

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Introduction It is widely believed that there is a correlation between literacy and unemployment rates in different countries. This implies that the literacy level in a particular country has a bearing on the unemployment rate in that country. As such, this paper seeks to critically analyse this assertion based on the results of a hypothesis test of two population means obtained from the data provided about literacy and unemployment rates in different countries…
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Lnk between Literacy and Unemployment
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A five step hypothesis test of data pertaining to the selection will be carried out and a description of the results will be carried out to answer the research question. Research question To what extent does the literacy level in a country impact on its unemployment rate? The sample is obtained from global demographics data about different countries and this information is provided. Since the crux of the report is to establish the link between literacy and unemployment rates in different nations, two countries namely Switzerland and Algeria have been chosen for this study to test the hypothesis.

For instance, Switzerland has the lowest unemployment rate while Algeria has the highest rate of unemployment. Therefore, a critical analysis of this raw data will be carried out to test these statistics obtaining on the ground in view of the literacy rates of the respective countries. Formulation of the hypothesis As aptly stated by Struig & Stead (2001), a hypothesis depicts the relationship between two or more variables. In some instances, there is no relationship between the variables in a particular research.

In this case, the null hypothesis is: There is no link between the literacy level and unemployment rate in a country. . Hypothesis testing Step 1: The null hypothesis suggests that there is no link between literacy and unemployment rates in a given country and this is represented by H0: ?a= ?b. On the other hand, the alternative hypothesis is of the view that there is a correlation between literacy and unemployment rates in a given country and this is represented by H1: ?a ? ?b . Step 2: It is assumed that the probability of unemployment rate is higher when the literacy level of that particular country is lower.

As going to be shown numerically below, the raw data presented is going to be calculated in order to establish if this assertion is true with regards to the stated question in the research problem above. Step 3: Test static value from the sample data provided from the two population proportions namely Switzerland and Algeria is going to be obtained through calculating the mean variance of the data. The table below shows the mean variance of the data between the two countries. Name of country Literacy rate percentage Switzerland 99% Nigeria 57.

1% Mean 78.05 From the statistics obtained from the table above, it can be seen that the mean static value is 78.05% and this is going to be used to evaluate the static. Step 4: The evaluation of the static is based on the mean obtained from the data provided about these two countries. The mean average static is 78.05 and it can be observed that from the raw data about the unemployment rates in the population proportions given, Switzerland has 1.9 % unemployment rate while Nigeria has 28 %. In terms of literacy rate, Nigeria has 57.

1 % and is below the mean static of 78.05 % while Switzerland is above the mean static with 99 %. Step 5: from the results obtained above, it can be noted that the null

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