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Magazine Chapter 11: Q. 11.4TI (page 633)
Students in a social studies class hypothesize that the literacy rates across the world for every region are \(82%\). Table 11.14 shows the actual literacy rates across the world broken down by region. What are the test statistic and the degrees of freedom?
Short Answer
\(\chi^{2}\) test statistics \(=16.489268\)
And \(p-value=0.0573412\)
\(p-value>\alpha\)
Therefore the decision will be fail to reject the null hypothesis,\(H_{0}\) . Therefore, the null hypothesis does not get rejected and is accepted. Hence, it can be concluded that there are sufficient evidence to ensure that the actual literacy rates are same.
Step by step solution
Step 1. Given information
Student in social studies class hypothesize that the literacy rates across the world for every region are \(82%\0. The below given table shows the actual literacy rates across the world broken down by region:
MDG Region | Adult Literacy Rate (%) |
Developed Regions | 99.0 |
Commonwealth of Independent States | 99.5 |
Northern Africa | 67.3 |
Sub-Saharan Africa | 62.5 |
Latin America and the Caribbean | 91.0 |
Eastern Asia | 93.8 |
Southern Asia | 61.9 |
South-Eastern Asia | 91.9 |
Western Asia | 84.5 |
Oceania | 66.4 |
Step 2. Calculation
The null hypothesis can be stated as:
\(H_{0}:\) Actual literacy rates are same.
And the alternative hypothesis can be stated as:
\(H_{a}:\) Actual literacy rates are different.
Now, let鈥檚 do the calculation in the excel as shown below;
The p-value can be calculated in excel by using formula as shown below:
\(\chi^{2}\) test statistics \(=16.489268\)
And \(p-value=0.0573412\)
We have the alpha value given as \(0.05\). Now, since \(p-value>\alpha\) therefore the decision will be fail to reject the null hypothesis, \(H_{0}\). Therefore, the null hypothesis does not get rejected and is accepted. Hence, it can be concluded that there are sufficient evidence to ensure that the actual literacy rates are same.
The null hypothesis can be stated as:
\(H_{0}:\) Actual literacy rates are same.
And the alternative hypothesis can be stated as:
\(H_{a}:\) Actual literacy rates are different.
Therefore the decision will be fail to reject the null hypothesis, \(H_{0}\). Therefore, the null hypothesis does not get rejected and is accepted. Hence, it can be concluded that there are sufficient evidence to ensure that the actual literacy rates are same.
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