The approach of critical value is used to determine likely or unlikely through determination whether observed test statistics is more than it would have been if null hypothesis was true. In other words, test statistics is compared to critical value and decision made.
If test statistics is more than critical value, the null hypothesis is rejected. Otherwise, null hypothesis is not rejected.
In the current scenario, test statistics (2.148) is less than critical value (2.348) and thus null hypothesis is not rejected.
Answer:
33
Step-by-step explanation:
Answer: b) The data is spread close to the mean
Step-by-step explanation: Theoretically, when the standard deviation of a statistical data is large or high, it simply means that the values in such statistical data set are farther away from the mean, On the other hand when the standard deviation is small or low, it simply means that the values of such statistical data are close to the mean of those data on average.
Therefore Judy's low standard deviation for her project simply indicates that her statistical data set is spread close to the mean.
Answer:
b
Step-by-step explanation:
