Write the claim and the null and the alternate hypotheses. 2. Identify α. 3. Draw a distribution to represent it and identify the critical value(s). 4. Write the inequality that identifies the rejection area(s). 5. Find the test statistic, p-value, and the correlation coefficient. 6. Make a decision about your test. 7. Write a sentence describing your decision about the claim in context with the problem. ### Analysis of Relationship Between University Size and Property Crimes#### Objective:To determine if there is a significant relationship at α = 0.01 between the size of a university and the number of property crimes committed.#### Data Sample:The data is taken from a sample of 9 universities in California, indicating student enrollment and annual burglary amounts.#### Table:| Student Enrollment (1000s) | 12.5 | 30 | 24.5 | 14.3 | 7.5 | 27.7 | 16.2 | 20.1 | 13.5 ||---------------------------|------|-----|------|------|-----|------|------|------|------|| Annual Burglary Amounts | 21 | 73 | 39 | 23 | 15 | 30 | 15 | 27 | 19 |#### Explanation:- **Student Enrollment (1000s):** Represents the number of students enrolled in thousands at each university.- **Annual Burglary Amounts:** Indicates the number of burglaries reported annually at each university. This data can be used to perform statistical analysis to examine correlations or causal relationships, and determine whether university size affects the prevalence of property crimes.

Given that: X Y 12.5 21 30 73 24.5 39 14.3 23 7.5 15 27.7 30 16.2 15 20.1 27…

2. Is there a relationship at a = 0.01 between the size of a college/university and the number of property crimes committed? The following data is from a sample of 9 universities in California: Student enrollment (1000s) Annual burglary amounts 12.5 30 24.5 14.3 7.5 27.7 16.2 20.1 13.5 21 73 39 23 15 30 15 27 19

2. Is there a relationship at a = 0.01 between the size of a college/university and the number of property crimes committed? The following data is from a sample of 9 universities in California: Student enrollment (1000s) Annual burglary amounts 12.5 30 24.5 14.3 7.5 27.7 16.2 20.1 13.5 21 73 39 23 15 30 15 27 19

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

1. In a sentence or two, explain what a sampling distribution is. 2. In a sentence or two explain how the standard error of the mean is similar to the standard deviation.
Hi, please answer both. Thanks!
why are we using the number of events=19 for the sample proportion part of the equation, instead of the actual sample proportion=0.19?
Claim: Most adults would erase all of their personal information online if they could. A software firm survey of 600 randomly selected adults showed that 62% of them would erase all of their personal information online if they could. Find the value of the test statistic.
You developed a way to measure anger people. Test the claim that the mean score of anger for younger people is equal to the mean score for older people. Use a significance level of .06. The scores are listed below. Scores for younger people: 25, 33, 19, 8, 39, 29, 28, 18, 41, 3, 27, 35, 14, 25, 36, 4, 11 Scores for older people: 38, 35, 21, 5, 19, 22, 35, 33, 54, 3, 55, 9, 15, 22, 47, 4, 21
Help!
p value only
An interior decorator wants to compare the prices at 2 stores to see if their mean prices are significantly different. She gathers the prices at each store on the same 26 items (from bath mats to window curtains). • What kind of hypotheisis test is this? 2 Means Matched Pairs t-test O 1 Mean t-test 2 Independent Means t-test O 1 Proportion z-test O 2 Proportions z-test • Which hypotheses do we want to test? O Họ: H1 = P2 HA: H1> H2 O Họ: H1 = H2 HA: H1# H2 O Ho: H1= H2 HA: H1 = H2 O Ho: H1 = P2 HA: H1< H2
Please help and explain it the easiest way possible lol