Your task is to first identify the proposed analysis and why you chose that analysis for each of these scenarios, then proceed to respond to the other sections related to each scenario. All of your written responses should be recorded in the three tables provided below. Please use α = .05 for all analyses. If an assumption is not met, please continue with the analysis for the purpose of this assignment. Scenario: Data from the Motor Vehicle Department indicate that 80% of all licensed drivers are older than age 25. Information on the age of n = 50 people who recently received speeding tickets was sourced by researchers who are interested in whether the age distribution for the sample of drivers who recently received speeding tickets is different from the age distribution for the population of licensed drivers. Data (n=50) (17 are 25 or younger) (33 are older than 25) Proposed analysis and why you chose the analysis: A Chi Square goodness of fit test Measurement type (i.e., nominal, ordinal, continuous) for variable(s) that will be used in the analysis: ordinal Null and alternative hypotheses (based on context of study) in symbols: H0: P = 0.8 H1: P ≠ 0.8 apa stats format if possible please Test assumptions and make a decision (please provide written evidence to support your decision): Inferential statistic(s) and p-value(s): what is the Decision:

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Your task is to first identify the proposed analysis and why you chose that analysis for each of these scenarios, then proceed to respond to the other sections related to each scenario.
All of your written responses should be recorded in the three tables provided below.
Please use α = .05 for all analyses.
If an assumption is not met, please continue with the analysis for the purpose of this assignment.

Scenario: Data from the Motor Vehicle Department indicate that 80% of all licensed drivers are older than age 25. Information on the age of n = 50 people who recently received speeding tickets was sourced by researchers who are interested in whether the age distribution for the sample of drivers who recently received speeding tickets is different from the age distribution for the population of licensed drivers.

Data (n=50) (17 are 25 or younger) (33 are older than 25)

Proposed analysis and why you chose the analysis:

A Chi Square goodness of fit test

Measurement type (i.e., nominal, ordinal, continuous) for variable(s) that will be used in the analysis:

ordinal

Null and alternative hypotheses (based on context of study) in symbols:

H0: P = 0.8

H1: P ≠ 0.8

apa stats format if possible please

Test assumptions and make a decision (please provide written evidence to support your decision):

Inferential statistic(s) and p-value(s):

what is the Decision:

Statistics that allow for inferences or estimates about the population. Inferential statistics enable analysts come to conclusions about the population based on sample data. Inferential statistics cover the basics of inferential statistics, all kinds of hypotheses tests and their confidence intervals, design of experiments, and statistical power and errors. It also includes point estimation techniques, limit theorems, sampling distributions, approximations, and bounds. Correlation, regression, and association are also covered under inferential statistics to infer relationships between variables.

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