Scenario A: You are a Watch Commander in a large metropolitan police agency. Recently, vehicular burglaries have increase substantially in one of the patrol beats under your command. The Captain thinks a saturation patrol strategy would reduce vehicular burglaries. This patrol strategy involves assigning a large number of patrol resources into the beat during times when vehicular burglaries are likely to occur. The theory behind this is that an increased police presence will deter would be burglars. You have been asked to conduct a study to see if a saturation patrol strategy will reduce vehicular burglaries in this patrol beat. Your alternative hypothesis is; An increase of patrol person hours (measured in hours) in the affected beat will reduce vehicular burglaries (measured in the number of incidents).
1. What is the independent variable in the above hypothesis?
2. What is the level of measurement for the independent variable”?
3. What is the dependent variable in the above hypothesis?
4. What is the level of measurement for the dependent variable?
5. What type (association or difference) of hypothesis is the above hypothesis?
In: Math
Exhibit: Checking Accounts.
A bank has kept records of the checking balances of its customers and determined that the average daily balance of its customers is $300 with a standard deviation of $56. A random sample of 200 checking accounts is selected. You are interested in calculating the following probabilities below.
For all answers below, do not round intermediate steps if any and round your final solution to 4 decimal places.
(1)Assuming that the population of the checking account balances is normally distributed, what is the probability that a randomly selected account has a balance of more than $305?
(2)What is the probability that the mean balance for the selected sample is above $295?
(3)What is the probability that the mean balance for the selected sample is between $302 and $304?
Another one:
A biology class with 114 students recently had an exam. The mean exam score was 82 and the standard deviation of the exam score was 12.
(1)What is the probability that a random sample of 37 exams has an average score below 84?
In: Math
I need to prove this with some sort of counting...
Suppose there are some number of people in a room and we need need to consider all possible pairwise combinations of those people to compare their birthdays and look for matches.
In: Math
An Auditor for a government agency is assigned the task ofevaluating reimbursement for office visits to physicians paid byMedicare. The audit is conducted on a sample of 75 of thereimbursements with the follwing results: In 12 of the office visits, an incorrect amount ofreimbursement was provided. The Amount of reimbursement was mean = $93.70 andS=$34.55 a) At the 0.05 level of significance, is there evidence thatthe mean reimbursement is less than $100? b)At the 0.05 level of significance, is there evidence thatthe proportion of incorrect reimbursements in the population isgreater than 0.10? c) Discuss the underlying assumptions of the test used in(a) d) What is yur answer to (a) if the sample mean equals$90? e) What is your answer to (b) if 15 office visits hadincorrect reimbursements?
In: Math
The data shows process completion times in hours of a manufacturing plant prior to and after a scheduled routine maintenance operation:
A.) Evaluate the assumption of normality of the datasets
B.) State and test the hypothesis of equal variance in the test populations
C.) State and test the hypothesis that the maintenance operation has any effect on the processing time
| Before | After |
| 4.17 | 6.31 |
| 5.58 | 5.12 |
| 5.18 | 5.54 |
| 6.11 | 5.5 |
| 4.5 | 5.37 |
| 4.61 | 5.29 |
| 5.17 | 4.92 |
| 4.53 | 6.15 |
| 5.33 | 5.8 |
| 5.14 | 5.26 |
In: Math
The superintendent of the Middletown school district wants to know which of the districts three schools has the lowest rate of parent satisfaction. He distributes a survey to 1,000 parents in each district which asks if the parent is satisfied with their child’s school, and all of these parents respond. Here are the results school
|
school A |
school B |
school C |
total |
|
|
not satisfied |
248 |
250 |
300 |
798 |
|
satisfied |
752 |
750 |
700 |
2202 |
|
Total |
1000 |
1000 |
1000 |
3000 |
a. Percentage the table in a way that best answers the superintendent’s question
b. Calculate the percentage point difference between the rate of satisfaction at school A and school B, between the rate of satisfaction at school A and school C, and between the rate of satisfaction at school B and school C. Explain what these numbers mean in English.
c. Calculate the chi square value of this table
d. Are the differences shown in this table statistically significant at the 95% level?
e. Based on what you found in (b) and (d), and using your own judgement, how would you answer the superintendent’s question?
In: Math
84, 67, 85, 82, 99, 78, 88, 94, 82, 90, 97, 88, 93, 91, 94, 80, 81, 86, 95, 91, 88, 96, 75, 90, 85, 89, 95, 85, 85, 86, 91.
A) Make a relative frequency histogram of the data using 7 classes.
B)According to Chebyshev, for the given data, between what two values could you expect to find 75% of the data?
In: Math
if we get a “sign.” of 0.652, what is the chance of a Type I error if we reject the Null Hypothesis?
In: Math
The following data represent petal lengths (in cm) for independent random samples of two species of Iris.
Petal length (in cm) of Iris virginica: x1; n1 = 35
| 5.0 | 5.7 | 6.4 | 6.1 | 5.1 | 5.5 | 5.3 | 5.5 | 6.9 | 5.0 | 4.9 | 6.0 | 4.8 | 6.1 | 5.6 | 5.1 |
| 5.6 | 4.8 | 5.4 | 5.1 | 5.1 | 5.9 | 5.2 | 5.7 | 5.4 | 4.5 | 6.4 | 5.3 | 5.5 | 6.7 | 5.7 | 4.9 |
| 4.8 | 5.7 | 5.1 |
Petal length (in cm) of Iris setosa: x2; n2 = 38
| 1.6 | 1.6 | 1.4 | 1.5 | 1.5 | 1.6 | 1.4 | 1.1 | 1.2 | 1.4 | 1.7 | 1.0 | 1.7 | 1.9 | 1.6 | 1.4 |
| 1.5 | 1.4 | 1.2 | 1.3 | 1.5 | 1.3 | 1.6 | 1.9 | 1.4 | 1.6 | 1.5 | 1.4 | 1.6 | 1.2 | 1.9 | 1.5 |
| 1.6 | 1.4 | 1.3 | 1.7 | 1.5 | 1.6 |
(a) Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to two decimal places.)
| x1 = | |
| s1 = | |
| x2 = | |
| s2 = |
(b) Let μ1 be the population mean for
x1 and let μ2 be the
population mean for x2. Find a 99% confidence
interval for μ1 − μ2.
(Round your answers to two decimal places.)
| lower limit= | |
| upper limit= |
In: Math
The A&M Hobby Shop carries a line of radio-controlled model racing cars. Demand for the cars is assumed to be constant at a rate of 40 cars per month. The cars cost $60 each, and ordering costs are approximately $15 per order, regardless of the order size. The annual holding cost rate is 20%.
In: Math
Wilson Publishing Company produces books for the retail market. Demand for a current book is expected to occur at a constant annual rate of 7,400 copies. The cost of one copy of the book is $12.5. The holding cost is based on an 14% annual rate, and production setup costs are $140 per setup. The equipment on which the book is produced has an annual production volume of 22,500 copies. Wilson has 250 working days per year, and the lead time for a production run is 16 days. Use the production lot size model to compute the following values:
In: Math
As part of a study of wheat maturation, an agronomist selected a
sample of wheat plants at random from a field plot. For each plant,
the agronomist measured the moisture content from two locations:
one from the central portion and one from the top portion of the
wheat head. The agronomist hypothesizes that the central portion of
the wheat head has more moisture than the top portion. What can the
agronomist conclude with α = 0.01? The moisture content data are
below.
| central | top |
|---|---|
| 62.7 63.6 60.9 63.1 62.7 63.7 62.5 |
61.7 63.6 60.2 62.9 61.6 62.8 62.3 |
Condition 1:
top portion
moisture content
wheat head
central portion
Condition 2:
wheat maturation
top portion
wheat head
central portion
c) Compute the appropriate test statistic(s) to
make a decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)
test statistic =
d) If appropriate, compute the CI. If not
appropriate, input "na" for both spaces below.
[ , ]
In: Math
From the given information in each case below, state what you know about the P-value for a chi-square test and give the conclusion for a significance level of α = 0.01. Use Table 8 in Appendix A. (Enter your answers to three decimal places.)
(a) χ2 = 4.98, df = 2
< P-value <
(b) χ2 = 12.18, df = 6
< P-value <
(c) χ2 = 21.06, df = 9
< P-value <
(d) χ2 = 20.7, df = 4
P-value <
(e) χ2 = 5.86, df = 3
P-value >
In: Math
7. An assembly line at a plant produces exactly 10000 widgets a day. Suppose that approximately 1 out of every 2000 fails a standards test and is thrown out. What is the probability that there will be 10 or more widgets thrown out on a given day?
8. There are 100 green balloons and 150 red balloons in a bag. Suppose we extract 10 balloons from the bag. (a) What is the exact probability that five of the balloons will be green? (b) Use Binomial Approximation to find the probability that exactly five of the balloons will be green. (c) Use Binomial Approximation to find the probability that no more than four of the balloons are green
In: Math
A company needs to budget for fuel, they have to consider the weight of the shipment.
Average weight= 20,160 pounds
The CEO wonders if preferences have changed and you have to adjust the budget for fuel. Based on 14 shipments, the average weight has been 20,901 pounds with a sample standard deviation of 800 pounds. What should you conclude at the 99% confidence level?
Show your work on the calculated score (Commands from Excel)
Indicate what your calculated score is
Indicate and justify what your critical score is and determine if this sample average is statistically significant from the mean
In: Math