Answer:
with 0.10 level of significance the P-VALUE that would be used in the hypothesis claim is 0.05%
Step-by-step explanation:
In hypothesis testing in statistics, we can say that the p-value is a probability of obtaining test results when we assume that the null hypothesis is correct.
The p-value is the probability that the null hypothesis is true.
A p-value less than or equals to 0.05 is statistically significant. It shows strong evidence against the null hypothesis, meaning there is less than a 5% probability the null is correct and clearly we can say that the results are random.
Answer:
16 1/4 or 65/4
Step-by-step explanation:
Answer:
y>4
Step-by-step explanation:
8y+9>41
subtract 9
8y>32
divide by 8
y>4
Answer:
A, C, and E.
Step-by-step explanation:
thats just the answer. i dont make the rules.