Answer:
NO
Step-by-step explanation:
The changeability of a sampling distribution is measured by its variance or its standard deviation. The changeability of a sampling distribution depends on three factors:
- N: The number of observations in the population.
- n: The number of observations in the sample.
- The way that the random sample is chosen.
We know the following about the sampling distribution of the mean. The mean of the sampling distribution (μ_x) is equal to the mean of the population (μ). And the standard error of the sampling distribution (σ_x) is determined by the standard deviation of the population (σ), the population size (N), and the sample size (n). That is
μ_x=p
σ_x== [ σ / sqrt(n) ] * sqrt[ (N - n ) / (N - 1) ]
In the standard error formula, the factor sqrt[ (N - n ) / (N - 1) ] is called the finite population correction. When the population size is very large relative to the sample size, the finite population correction is approximately equal to one; and the standard error formula can be approximated by:
σ_x = σ / sqrt(n).
Answer:
i think the scale factor is 3:2
Step-by-step explanation:
To figure the total difference divide:
6 divided by 4 = 1.5
1.5 = 3/2
pls tell me if wrong
Hope this helps
The function rule for the table is y = 25/4 x
<h3>Equation of a linear function</h3>
The standard expression for a linear function is expressed as y =mx + b
where
m is the slope
b is the y-intercept
Using the coordinate points (4, 25.00) and (8, 50.0)
Determine the slope
Slope = 50-25/8-4
Slope = 25/4
Determine the y-intercept
50 = 25/4(8) + b
50 = 25(2) + b
50 = 50 + b
b = 0
Hence the function rule for the table is y = 25/4 x
Learn more on function and table here: brainly.com/question/17080205
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12 hundreds+8 tens+7 ones =
12*100 + 8*10 + 7*1 =
1200 + 80 + 7 =
1287 ← answer
