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Using one mean Z test to test whether or not to support the claim.
The stats teacher believes the actual average amount of time students in the district study at home per week is lower than the publicized 6 hours. He conducts a hypothesis test and finds the following: = 5.65, σX = 1, n = 25. Is there evidence that the average hours is below 6? Explain.
a) There is fairly strong evidence that µX < 6, a p-value of 0.04 is fairly small.
b) There is little evidence that µX < 6, a p-value of 0.04 is fairly large.
c) There is fairly strong evidence that µX < 6, a p-value of 0.08 is fairly small.
d) There is weak evidence that µX < 6, a p-value of 0.08 is fairly large.
Let Y be the number of envelopes for which the machine fails to remove a check. Using the Central Limit Theorem to approximate P{Y≤10}.
Using the original data, test at the 5% significance level that the population standard deviation of studying times is greater than 4 hours.
Which of the following events are disjoint and What proportion of the females rated their intelligence less than 7.
In comparing the two variances below, what is the test value and what are the degrees of freedom that should be used?
The main purpose of this exercise is to check your understanding of significance level, p-values and power .
Research question: Are the mean crash damages the same for these three vehicles?
CPI and Subway Fare Find the best predicted cost of subway fare when the consumer Price Index (CPI) is 182.5 (in the year 2000).
Probability based on normal distribution. Suppose among X has a normal distribution, and find the indicated probability.
To demonstrate the process is in control or out of control utilizing p-chart. A company which produces nails has retained you as a consultant.
At.05 significance level, can we conclude that larger proportion of the agents think the economy is expanding this month?
What is the level of measurement for the variable, "political ideology" measured as "Very Conservative", "Conservative","Moderate", "Liberal" and "Very Liberal".
When combining probabilities, to find the probability of one event AND another event, the separate probabilities should be:
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