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https://drive.google.com/file/d/0B8cwe-uGdyWmZFZ0eUFmRnpZWEU/view?usp=sharing ab

ID: 3294768 • Letter: H

Question

https://drive.google.com/file/d/0B8cwe-uGdyWmZFZ0eUFmRnpZWEU/view?usp=sharing

above is the link to the data document and more detail of help needed. Thank you

Term Paper

Topic: “One-Sample Test of Hypothesis Analysis”
Can this be done? just testing the data and doing the hypothesis? If so I will send the data file. Thanks

I have a term paper that I cannot test the data or form a hypothesis. Here are the Directions: The purpose of the one-sample test of hypothesis analysis is to enhance your ability to conduct statistical research. This involves the formulation of a hypothesis with appropriate literature review, gathering secondary data, and empirically testing your hypothesis. having a super hard time getting data on this site.

Age Group

Sex

Race

Urinary Bladder

<45 years

Female

Black or African American

62.10%
(54.20% - 69.10%)

194

Urinary Bladder

<45 years

Female

White

87.40%
(85.90% - 88.80%)

2,429

Urinary Bladder

<45 years

Male

Black or African American

78.00%
(73.50% - 81.90%)

499

Urinary Bladder

<45 years

Male

White

89.20%
(88.20% - 90.10%)

5,851

Urinary Bladder

45-54 years

Female

Black or African American

58.90%
(54.50% - 63.10%)

666

Urinary Bladder

45-54 years

Female

White

83.60%
(82.50% - 84.50%)

6,951

Urinary Bladder

45-54 years

Male

Black or African American

73.90%
(71.20% - 76.40%)

1,662

Urinary Bladder

45-54 years

Male

White

84.70%
(84.00% - 85.30%)

20,056

Urinary Bladder

55-64 years

Female

Black or African American

59.20%
(55.80% - 62.50%)

1,262

Urinary Bladder

55-64 years

Female

White

81.60%
(80.80% - 82.30%)

15,314

Urinary Bladder

55-64 years

Male

Black or African American

71.10%
(68.90% - 73.20%)

3,266

Urinary Bladder

55-64 years

Male

White

82.20%
(81.80% - 82.70%)

51,945

Age Group

Sex

Race

Urinary Bladder

<45 years

Female

Black or African American

62.10%
(54.20% - 69.10%)

194

Urinary Bladder

<45 years

Female

White

87.40%
(85.90% - 88.80%)

2,429

Urinary Bladder

<45 years

Male

Black or African American

78.00%
(73.50% - 81.90%)

499

Urinary Bladder

<45 years

Male

White

89.20%
(88.20% - 90.10%)

5,851

Urinary Bladder

45-54 years

Female

Black or African American

58.90%
(54.50% - 63.10%)

666

Urinary Bladder

45-54 years

Female

White

83.60%
(82.50% - 84.50%)

6,951

Urinary Bladder

45-54 years

Male

Black or African American

73.90%
(71.20% - 76.40%)

1,662

Urinary Bladder

45-54 years

Male

White

84.70%
(84.00% - 85.30%)

20,056

Urinary Bladder

55-64 years

Female

Black or African American

59.20%
(55.80% - 62.50%)

1,262

Urinary Bladder

55-64 years

Female

White

81.60%
(80.80% - 82.30%)

15,314

Urinary Bladder

55-64 years

Male

Black or African American

71.10%
(68.90% - 73.20%)

3,266

Urinary Bladder

55-64 years

Male

White

82.20%
(81.80% - 82.70%)

51,945

Explanation / Answer

Since topic: “One-Sample Test of Hypothesis Analysis”, we have to reduce our hypothesis to ONE variable.

Note: It is a two tailed test, since it will be affected by BOTH greater than, AND less than values,

Null Hypothesis, Ho : 5-Year Relative Survival Rate of our population is NOT 75.99% (mean)

Alternative Hypothesis H1: 5-Year Relative Survival Rate of our population IS 75.99%

Decision rule is, if p < 0.05, accept the null hypothesis.

The level of significance is 95%.

The test statistic is ‘p’.

Calculated:

The P-Value is 0.999587. The result is not significant at p < 0.05.

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