What is the equation of the line in slope-intercept form?
2 answers:
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Answer:
B
Step-by-step explanation:
The graph begins up and ends down. This means as x heads into negative infinity the graph continues up, up and up towards infinity. While x heads to positive infinity on the right side of the graph, the graph heads down, down, and down towards negative infinity. See graph below.
Answer:
If we compare the p value and the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean is not significantly higher than 0.035 at 5% of significance.
Step-by-step explanation:
We assume that the hypothesis that they want to check is :
Null hypothesis:
Alternative hypothesis:
Data given and notation
represent the sample mean
represent the sample standard deviation
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to check if the mean is higher than 0.035, the system of hypothesis are :
Null hypothesis:
Alternative hypothesis:
Since we don't know the population deviation, is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
(1)
t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
P-value
We can find the degrees of freedom like this:
Since is a one-side upper test the p value would given by:
Conclusion
If we compare the p value and the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean is not significantly higher than 0.035 at 5% of significance.