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Full moon, next phase. In given Exercise you found that the expected cell counts failed to satisfy the conditions for inference.
a) Find a sensible way to combine some cells that will make the expected counts acceptable.
b) Test a hypothesis about the full moon and state your conclusion.
Exercise :Full moon. Some people believe that a full moon elicits unusual behavior in people. The table shows the number of arrests made in a small town during weeks of six full moons and six other randomly selected weeks in the same year. We wonder if there is evidence of a difference in the types of illegal activity that take place.
a) Will you test goodness-of-fit, homogeneity, or independence?
b) Write appropriate null hypotheses.
c) Find the expected counts for each cell, and explain why the chi-square procedures are not appropriate for this table.
Suppose 1.5 percent of the antennas on new Nokia cell phones are defective. For a random sample of 200 antennas, find the probability that:
eighteen percent 0.18 of the students in a management class are graduate students. a random sample of 6 students is
Identify which of the methods from this lesson (GCF, grouping, difference of squares, or perfect squares) could be used to factor the polynomial.
(a) Show that this problem can be converted to an asymmetric assignment problem where all persons must be assigned. Hint: For each person i introduce an artificial object i and a zero cost arc (i, i ).
What aspect of this distribution makes it difficult to summarize, or to discuss, center and spread?- What would you suggest doing with these data if we want to understand them better?
We cannot say because the condition for randomness, independence, or normality is not met.
The data set odor .txt contains three responses gathered from a factorial design (described in Chapter 9). The purpose of the experiment was to study the effect of formulation changes for a lens coating on three primary responses:
The standard deviation of all possible x values is called the?
The mean height of women in a country (ages20-29)is 64.5 inches. A random sample of 75 women in this age group is selected. What is the probability that the mean height for the sample is greater than 65inches? Assume σ=2.66
Describe the overall shapes of these distributions.- How do the distributions differ?- Look carefully at the bar definitions. Where do these plots violate the rules for statistical graphs?
At the 0.01 level of significance, does the machine appear to be in need of maintenance and calibration? Determine and interpret the p-value for the test.
five people get on an elevator that stops at five floors. assuming that each has an equal probability of going to any
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