The director of student services at Oxnard College is interested in whether women are more likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Select an answer C Women Men 396 286 What can be concluded at the a= 0.05 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Yes 382 No 251 b. The test statistic ? = c. The p-value = O Ho: Select an answer Select an answer Select an answer (please enter a decimal and note that p1 and ul represent the proportion and mean for women and p2 and u2 represent the proportion and mean for men.) H₁: Select an answer O Select an answer (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.)

The College Board provided comparisons of Scholastic Aptitude Test (SAT) scores based on the highest level of education attained by the test taker's parents. A research hypothesis was that students whose parents had attained a higher level of education would on average score higher on the SAT. The overall mean SAT math score was 514. SAT math scores for independent samples of students follow. The first sample shows the SAT math test scores for students whose parents are college graduates with a bachelor's degree. The second sample shows the SAT math test scores for students whose parents are high school graduates but do not have a college degree. College Grads 485 487 518 517 650 542 570 426 566 499 588 562 497 448 592 453   High School Grads 442 492 580 478 479 425 486 485 528 390 524 535 a. formulate the hypotheses  b. find the test statistic c. find p- vaule for the hypothesis test  d. at a=0.05, what is the conclusion

A marketing agency wanted to determine if a new commercial changed people's opinion about a company. They recruited n=30 participants to watch the commercial. First, everyone was givien a survey to determine their attitudes toward the company. Then, everyone watched the new commercial. Finally, they were given the same survey again and asked about their attitudes toward the comapny after seeing the commercial. The agency wanted to see if attitudes were changed by the commercial. What statistical test should they use?

In a study, you ask the subjects their age in years. Is this data qualitative or quantitative?

The height (in feet) and trunk circumference (in inches) at breast height (4.5 feet above the ground)was measured for a random sample of Eucalyptus trees. The data are summarized below.Trunk Circumference 21.1 20.8 22.5 19.4 23.6 19.8 21.6 19.9Tree Height 34.2 32.7 35.0 31.9 36.5 31.2 33.8 31.4(a) Determine the linear regression model that will best predict the height of a Eucalyptus treebased on its trunk circumference at breast height.

Most universities and colleges require an SAT score as one of the inputs to an admissions decision. Is it a good predictor of college success? Total SAT scores for 10 students are given, along with their college GPAs. SAT GPA 1070 3.50 1040 2.66 1120 3.54 1020 3.00 1260 3.41 1100 3.80 SAT GPA 960 2.00 990 1.66 1060 3.30 1010 2.50 Compute the correlation coefficient, ?, for SAT scores and GPAs using a calculator or software. ?=0.698 ?=−3.3 ?=0.49

Suppose the National Transportation Safety Board (NTSB) wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of cars each of the cars types. The data below displays the frontal crash test performance percentages. Test whether there are statistical differences in the frontal crash test performance for each type of car.   Car Sizes Compact Cars Midsize Cars Full-Size Cars 95 95 93 98 98 97 87 98 92 99 89 92 99 94 84 94 88 87 99 93 88 98 99 89 What conclusions can we draw from the follow-up t-tests?   There is/are a total of  ______ statistically significant difference(s) between car type pairs out of the follow-up t-tests.  Options: a) 1 b) 2  c) 3 d) 4 e) 5 f) 6

The College Board provided comparisons of Scholastic Aptitude Test (SAT) scores based on the highest level of education attained by the test taker's parents. A research hypothesis was that students whose parents had attained a higher level of education would on average score higher on the SAT. The overall mean SAT math score was 514. SAT math scores for independent samples of students follow. The first sample shows the SAT math test scores for students whose parents are college graduates with a bachelor's degree. The second sample shows the SAT math test scores for students whose parents are high school graduates but do not have a college degree. College Grads 485 487 518 517 650 542 570 426 566 499 588 562 497 448 592 453   High School Grads 442 492 580 478 479 425 486 485 528 390 524 535 (b) What is the point estimate of the difference between the means for the two populations?   (c) Find the value of the test statistic. (Round your answer…

Health insurer benefits vary by the size of the company. The sample data below show the number of companies providing health insurance for small, medium,  and large companies. For the purpose of this study,  small companies are companies that have fewer than 100 employees.  Medium-sized companies have 100 to 999 employees,  and largevcompanies have 1000 or more employees.  The questionnaire sent to 225 employees asked whether or not the employee had health insurance and then asked the employee to indicate the size of the company.                       Health Insurance  Size of company  Yes     No    Total Small.                      35       15       50 Medium                   67        8        75 Large                        87     13       100 A. Conduct a test of independence to determine whether health insurance coverage is independent of the size of the company.  What is the p-value? Compute the value of the x2 test statistic (to 2 decimal)

Twelve inmates in a particular prison took part in an anger management class. Before it began, the median score on an anger control assessment of the group was 42 (out of a maximum of 60). After the six month class, the participants scores on the same assessment were 35, 41, 40, 44, 57, 36, 39, 47, 58, 39, 42, 39.   1. Construct a boxplot of the data and explain briefly why a sign test is appropriate to use in this case