Sorting the data from smallest to largest is a useful first step that makes calculating Median and Mode easier
We know, the median is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution.
The mode is the value that appears most often in a set of data values. If X is a discrete random variable, the mode is the value x at which the probability mass function takes its maximum value.
So, when we sorting the data from smallest to largest is a useful first step that makes calculating the median easier. Because median is the middle term of the ordered data set.
Similarly, It will be easier to find the most frequent in the ordered data set
that is mode
Hence, sorting the data from smallest to largest is a useful first step that makes calculating Median and Mode easier
Learn more about Median here
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Answer:
3/8 cups
Step-by-step explanation:
You want half of the recipe, so you want half of
3
/4 of a cup.
Of means multiplication when it comes to fractions, so multiply
3/
4 by 1/
2 to get 3
/4
⋅
1/
2
=
3/
8
Answer:
hi
Step-by-step explanation:
Answer:
Y=x
Step-by-step explanation:
The y and x values are the same
Answer:
P-value is lesser in the case when n = 500.
Step-by-step explanation:
The formula for z-test statistic can be written as
here, μ = mean
σ= standard deviation, n= sample size, x= variable.
From the relation we can clearly observe that n is directly proportional to test statistic. Thus, as the value of n increases the corresponding test statistic value also increases.
We can also observe that as the test statistic's numerical value increases it is more likely to go into rejection region or in other words its P-value decreases.
Now, for first case when our n is 50 we will have a relatively low chance of accurately representing the population compared to the case when n= 500. Therefore, the P-value will be lesser in the case when n = 500.
