Answer with Step-by-step explanation:
Since we have given that
Number of students = 100
Mean = 21.3 years
In what way are descriptive statistics involved in this example?
As we know that descriptive statistics gives information that explains the data is specific manner and while measuring the mean age of the 100 students she needs to collect data by asking their age from them.
In what way are inferential statistics involved?
As we know that inferential statistics form inferences about given populations using given data, so when she estimate the mean age of 100 students, she will use data of 100 students. So, she is using inferential statistics.
Answer:
Step-by-step explanation:
448 - 66 = 382
448 physics books and 382 biology books
- For this study, we should use t-test and the null and alternative hypotheses would be given by H₀: μ = 7 and H₁: μ < 7.
- The test statistic is -1.941 and the p-value (0.0381) is <u>greater than</u> α = 0.01.
- Based on this, we should <u>fail to reject</u> the null hypothesis.
- Thus, the final conclusion is that the data suggest the population mean is not significantly lower than 7 at α = 0.01, so there is statistically insignificant evidence to conclude that the population mean waiting time to be admitted into the hospital from the emergency room for patients at rural hospitals is equal to 7 hours.
<h3>What is a null hypothesis?</h3>
A null hypothesis (H₀) can be defined the opposite of an alternate hypothesis (H₁) and it asserts that two (2) possibilities are the same.
<h3>How to calculate value of the test statistic?</h3>
The test statistics can be calculated by using this formula:
<u>Where:</u>
- is the standard deviation.
- n is the number of hours.
For this study, we should use t-test and the null and alternative hypotheses would be given by:
H₀: μ = 7
H₁: μ < 7
t = -0.7/0.3606
t = -1.941.
For the p-value, we have:
P-value = P(t < -1.9412)
P-value = 0.0381.
Therefore, the p-value (0.0381) is <u>greater than</u> α = 0.01. Based on this, we should <u>fail to reject</u> the null hypothesis.
Thus, the final conclusion is that the data suggest the population mean is not significantly lower than 7 at α = 0.01, so there is statistically insignificant evidence to conclude that the population mean waiting time to be admitted into the hospital from the emergency room for patients at rural hospitals is equal to 7 hours.
Read more on null hypothesis here: brainly.com/question/14913351
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Answer:
<h2>5 1/4</h2>
Step-by-step explanation:
3 1/2 = 6/2 + 1/2 = 7/2
He drinks 3 1/2 liters every 2/3 hour means
He drinks (7/2)×(3/2) = 21/4 = 5 1/4 liters in one hour.
:)