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hot spots), high rain (B hot spots), moderate rate (20 hot spots) and low rate ( 12 hot spots). in euch group, hulf the hot spots wal be randomly assigned the new crime preventon program and ithe. other haf no iresement. For both mothods, after several woeks the crime tales in the hot spots whare the program was implemented will be compared with nese weh no that terert Complete paits a though d below. a. Mentily the data collection method for Mefrod 1. Choose the coerect aniwer beice. A. Published counce B. Obebrvational study c. Fandern sample D. Designed expentiant b. ISentfy ithe data coloction method for Mehod 2 Choose the conect answer below A. Designed euperment B. Publshed source c. Observational study D. Random sample e. Is this an appleation of describtive of inderential atabites? Explain. A. It is an application of inferential stabisfics because it utiires sample data to make a generalzabion abeut a larger set of data, drug crime fate. B. It is an application of description slatistics because it uthats samplo dsta to make a generakzation about a larger set of duta, drug crine rate c. It is an appleation of infecential sestsbies because it uelizes numberical and graphical mathods to lock for patterns in a data set, drug crime rate. d. Given that there is a great deal of variation in the drug crime rates at the 56 hot spots, which data collection method do you recommend? Explain. A. Recommend Method 2 since it divides the hot spots based on the level of drug crimes. B. Recemmend Method 2 since more of the overall population will be in the treatment group, which will heip to ahow where the variablity lies. C. Recommend Method 1 since more of the ovetall population will be in the treatment group, which will help to show where the variability lies. D. Recommend Method 1 since it does not divide the hot spots into subgroups, which means the results will suppress the variability in the drug crime rates.

1 Answer

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Final answer:

a. Method 1: Observational study; b. Method 2: Designed experiment; c. Application of inferential statistics; d. Recommend Method 2 for a more balanced treatment and control group distribution.

Step-by-step explanation:

Certainly, let's break down each part:

a. Data collection method for Method 1:

Choice: A. Published source

Explanation: In Method 1, the data collection method involves obtaining information from existing published sources, possibly reports, studies, or databases. This could include crime statistics or research findings that have already been documented and made publicly available.

b. Data collection method for Method 2:

Choice: A. Designed experiment

Explanation: Method 2 involves a designed experiment where hot spots are divided into subgroups based on the level of drug crimes. The random assignment of the new crime prevention program to half of the hot spots is a key characteristic of a designed experiment.

c. Application of descriptive or inferential statistics:

Choice: A. It is an application of inferential statistics because it utilizes sample data to make a generalization about a larger set of data, the drug crime rate.

Explanation: Inferential statistics involves making predictions or inferences about a population based on a sample of data.

In this case, the goal is to generalize the impact of the new crime prevention program on the drug crime rate across all hot spots based on the data collected from a subset of hot spots.

d. Recommendation for data collection method considering variation in drug crime rates:

Choice: B. Recommend Method 2 since more of the overall population will be in the treatment group, which will help to show where the variability lies.

Explanation: Method 2, with its division of hot spots into subgroups based on the level of drug crimes, allows for a more detailed analysis of the impact of the new crime prevention program.

Having more of the overall population in the treatment group enhances the ability to identify patterns and variability in drug crime rates, providing a more comprehensive understanding of the program's effectiveness.

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