Type I error says that we suppose that the null hypothesis exists rejected when in reality the null hypothesis was actually true.
Type II error says that we suppose that the null hypothesis exists taken when in fact the null hypothesis stood actually false.
<h3>
What is
Type I error and Type II error?</h3>
In statistics, a Type I error exists as a false positive conclusion, while a Type II error exists as a false negative conclusion.
Making a statistical conclusion still applies uncertainties, so the risks of creating these errors exist unavoidable in hypothesis testing.
The probability of creating a Type I error exists at the significance level, or alpha (α), while the probability of making a Type II error exists at beta (β). These risks can be minimized through careful planning in your analysis design.
Examples of Type I and Type II error
- Type I error (false positive): the testing effect says you have coronavirus, but you actually don’t.
- Type II error (false negative): the test outcome says you don’t have coronavirus, but you actually do.
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Answer:
Step-by-step explanation:
You need to know the formula for the area of a circle , do you?
it's pi*
plug in 1/2 of the diameter , they tell us it's 48 + 6 = 54
54/2 = 27
so
pi*
=2290.2 sq inches
The types of correlation seen between positive correlation, negative correlation, or no correlation, in the variables is:
- a. Height of a person and how often he or she attends religious services. - No correlation
- (b.)Average property tax in a school district and salary of teachers - Positive correlation
- (c.)Weight of a person and shoe size. - Positive correlation
<h3>What is the correlation between property taxes and teacher salaries?</h3>
One of the main sources of funding for school districts is the property tax charged. This means that increased property taxes will lead to more money being available for teacher salaries which might then increase. There is therefore a positive correlation between the two.
The same is true for the weight of a person and shoe size. This is because the heavier a person is, the larger their shoe size according to research.
There is however no correlation between the height of a person and their attendance of religious services.
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Answer:
$30
Step-by-step explanation:
30 % + 10 % = 40 %
40 % of $50 = $20
%50 - $20 = $30
