The answer is:
32x^5+ 240x^4+ 720x^3+ 1080x^2+810x+243
Tom has read the first 40 pages of a book. He plans to read another 12 pages each day Write an equation that represents the rela
1 answer:
Answer:
Step-by-step explanation:
-This is a linear relationship problem modeled as:
where:
is the quantity at variable x
is the slope
is the constant of increment or decrement.
is the variation variable.
Given the constant 40, and 12 pages per day as the rate of change we substitute our variables in the form of the formula above as:
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The answer is:
32x^5+ 240x^4+ 720x^3+ 1080x^2+810x+243
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 reject the null hypothesis, so we can't conclude that the true mean is less than 63 gallons per day at 1% of signficance.
Step-by-step explanation:
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 true mean is less than 63, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
If we analyze the size for the sample is < 30 and we don't know the population deviation so 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
The first step is calculate the degrees of freedom, on this case:
Since is a one side lower test the p value would be:
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 reject the null hypothesis, so we can't conclude that the true mean is less than 63 gallons per day at 1% of signficance.