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When studying simultaneous responses to two categorical questions, we should set up a
a) contingency table.
b) frequency distribution.
c) cumulative percentage distribution table.
d) histogram.
I know that the answer for this question is A, but I want to know why the other choices were incorrect and why A is the correct answer? Explain please?"
What is the mean and standard deviation of the sampling distribution when we take all samples of size25?
Which test should we use to determine whether the difference between Mesa and Tempe is statistically significant? Why? Should it be one or two-tailed?
How should he go about taking samples to gather data for testing the hypotheses?
If random sample of 9 loads is selected for weight check, determine probability that mean weight of those loads is more than 40.60 tons.
In chi-square goodness-of-fit test when there is close agreement between observed frequency and expected frequency, chi-square test value will be small.
A particular bulb is turned on once each evening for an average of 10 hr. If it is desired to have a reliability of 90 percent, what is its design life in days?
Find out which (t-, z- or neither) distribution is suitable Then if you can utilize either a t- or z- distribution, provide associated critical value (critical t- or z- score) from that distribution to reach given confidence level.
Would you conclude that your data set is approximately normal? If so, what percentage of your data values lie:
What type of error would result in that case? Respond to at least two of your classmate's postings.
Employ the table of standard normal probabilities (z table) to answer the following questions.
To find out the alternate hypotheses also critical value. A truck dealer claims where a new model will give trouble free service for at least 15,000 miles.
Draw the distribution of the random variable X, representing her time of arrival. (Be sure to include labels and values on the axes.)
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