We conclude the hypothesis test as Alternative Hypothesis if the data would be very unusual if the original assumption about our parameter were correct.
- A hypothesis in statistics is a claim or supposition on the properties of one or more variables in one or more populations. There are two hypothesis to choose between because a statement might either be true or wrong.
- The null hypothesis is the assertion that we (or someone else) consider to be true. Our hypothesis test will come to one of two conclusions: "reject H0" or "do not reject H0." Remember that until data provide evidence to the contrary, we always proceed under the null hypothesis.
- If the null hypothesis is incorrect, the alternative hypothesis must be true. The hypothesis test can be different in one of three ways: greater than, smaller than, or just different (not equal). As a result, there will always be an inequality requirement in the notation for H.
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Answer:
Yes.
Step-by-step explanation:
4 gallons is 16 quarts!
Answer:
The correct answer is: 37.68ft^2
Step-by-step explanation:
Answer:
Concept: Algebraic Representation
- 4550 < n < 4570
- 4500 < n < 4700
- Pete walker further than Naomi
- a. 110 < x < 130
- b. 1.22 < x < 1.26
- c. 0.0084 < x < 0.0154