Answer:
5% significance level indicates the level of risk, error or exactness. It guides our conclusion on which hypothesis a data supports
Level of significance defined as the possibility, probability or chances of rejecting a null hypothesis when it's results is valid.
For every statistical hypothesis, the result has propency or likeliness to be exact or not. That is, it has chances of containing a type of error referred to as level of significance.
Now, a 5% significance level implies that, the statistical results or analysis has 95% reliability or confidence level.
In other words, a 5% significance level indicates that a result has 0.05 RISK level.
The level of significance is needed for every hypothetical test because it indicates validity of each hypothesis data. It gives confidence such that one is at peace to know the hypothesis a particular data supports
That's an increase of 30,000,000 people in one year, a slope of 30 million and a good year for the internet.
If t is the year, and p is number of internet users,
p = 30000000(t - 1997) + 60000000
Answer: p = 30000000(t - 1997) + 60000000
As for linear versus exponential, one year of data can't really distinguish.
Triangle Area Formula:
0.5 * Base * Height
SO,
0.5 * 10 * Height = 45.5
5 * Height = 45.5
Height = 9.1
Answer:
The domain is all real numbers
The range is y ≥ -8
Step-by-step explanation:
The domain is the values that x can take
The domain is all real numbers
The range is the values that y can take
The range is y ≥ -8
Answer:
Step-by-step explanation:
Using this data, create a dot plot where each dot represents a weekend.
