bobbie71G
2020-11-01
Viktor Wiley
Skilled2020-11-02Added 84 answers
Step 1
Independent Two Samples t-test:
Suppose there are two populations independent of one another. A researcher is interested to know whether the populations are equal on an average, or in other words, whether the means of the two populations are equal or not, based on sample observations.
Suppose
Let
In such a situation, the comparison between the two population means is done using the Independent Two Samples t-test, provided the following assumptions are satisfied:
1) The observations should be from a continuous data.
2) The populations should be independent of one another.
3) The samples must be obtained randomly, so that the observations are independent of each other for each population.
4) The data must follow the normal distribution, or the sample sizes must be large enough to ensure an approximate normal distribution.
Ideally, an independent t-test would require two sets of independent individuals, one set of individuals are 8-year-old children and the other set of individuals are 10-year-old children. Here, the vocabulary skills of both the teams are two independent samples. To test the difference between two independent samples, independent t-test would be appropriate.
Thus, independent sample t-test is recommended.
Therefore, Independent t-test would be used to determine if there is a significant difference in the vocabulary skills between 8-year-old and 10-year-old.
Step 2
Null hypothesis
Alternative hypothesis
There is a significant difference in the mean vocabulary skills between the 8-year-old and 10-year-old.
The sample statistic is given below:
sample statistic
The test statistic is given below:
Test statistic
The standard error is given below:
Level of significance:
Type-I error is rejecting the null hypothesis
when the null hypothesis
The probability of type-I error is level of significance. Therefore, the level of significance is the probability of making a mistake.
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