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Homework statistics

Title: Homework statistics chapter 9

Name: Date:

Introduction: The most important application of statistics is describing the data using descriptive and inferential statistics. The two main branches are descriptive and inferential statistics. People who do not have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics. (Walpole, 1982). The descriptive statistics is the type of statistical analysis which helps to describes about the data in some meaningful way. The statistics is used to describe quantitatively about the important features of the data or information. The descriptive statistics gives the summaries of the given sample as well as the observations done. These summaries or descriptions can either be graphical or quantitative. For example the data about Framingham Heart Study dataset provided, using descriptive summary we can make some logical conclusion about the data, The descriptive summary is given below for both male and female. For male data set:

For Female data set:

In this part using the provided Dataset, I will compare the risk factors in men and women where I will use the following patient characteristics: Age, systolic blood pressure, diastolic blood pressure, use of anti-hypertensive medication, current smoker, total serum cholesterol, mg/dL, body mass index (BMI), and diabetes, The means for each risk factor is given in the above descriptive summary table. 1) Hypothesis Test: Hypothesis tests are also known as tests of significance which tests some claim for the population by analyzing sample. In this paper we will focus on hypothesis to test the raw and make a logical conclusion for example The Framingham Heart Study dataset provided, using T statistics. Null Hypothesis: H0 the risk factors for heart disease listed as patient characteristics are not related to if the patient is male or female in the Framingham Heart Study. Alternative Hypothesis: H1 the risk factors for heart disease listed as patient characteristics are related to if the patient is male or female in the Framingham Heart Study. Level of significance is 0.05 SEX is coded 1=male and 2=female. The output of the test is:

The null hypothesis is rejected for SYSBP, AGE, DIABP, CURSMOKE and DIABETES For these variables we concluded that the risk factors for heart disease listed as patient characteristics are related to if the patient is male or female in the Framingham Heart Study. The null hypothesis is fail to reject for. TOTCHOL, BMI and CIGPDAY For these variables we concluded that the risk factors for heart disease listed as patient characteristics are not related to if the patient is male or female in the Framingham Heart Study. References

Walpole, R. (1982). Introduction to Statistics. (3rd ed.). Prentice Hall Publication. Downie, N. M. & Heath, R. W. (1965). Basic Statistical Methods (2nd ed.). Harper & Row Publisher

Reid, H. (2013, August). Introduction to Statistics. SAGE Publication.

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Student paper

The most important application of statistics is describing the data using descriptive and inferential statistics. The two main branches are descriptive and inferential statistics. People who do not have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics.

Original source

The most usual applications of Statistics is describing a set of data descriptive statistics hypothesis testing and inferential statistics The two main branches are descriptive and inferential statistics People who do not have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics

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Student paper

The descriptive statistics is the type of statistical analysis which helps to describes about the data in some meaningful way. The statistics is used to describe quantitatively about the important features of the data or information. The descriptive statistics gives the summaries of the given sample as well as the observations done. These summaries or descriptions can either be graphical or quantitative.

Original source

The descriptive statistics is the type of statistical analysis which helps to describes about the data in some meaningful way The statistics is used to describe quantitatively about the important features of the data or information The descriptive statistics gives the summaries of the given sample as well as the observations done These summaries or descriptions can either be graphical or quantitative

2019/ 10/ 3 Originality Report

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Student paper 68%

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Student paper 100%

Student paper 100%

slideserve 100%

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1) Hypothesis Test:

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The alternative hypothesis 1

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Introduction to Statistics.

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Introduction To Statistics -

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Prentice Hall Publication.

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Prentice Hall Publication

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Basic Statistical Methods (2nd ed.). Harper & Row Publisher

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Basic Statistical Methods (2nd ed.) Harper & Row Publisher

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Introduction to Statistics.

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Introduction To Statistics -