Question

In: Statistics and Probability

A study was conducted that measured the total brain volume (TBV) (in mm3) of patients that...


A study was conducted that measured the total brain volume (TBV) (in mm3) of patients that had schizophrenia and patients that are considered normal. Table #1 contains the TBV of the normal patients and Table #2 contains the TBV of schizophrenia patients ("SOCR data Oct2009," 2013).

Table #1: Total Brain Volume (in mm3) of Normal Patients

1663407

1583940

1299470

1535137

1431890

1578698

1453510

1650348

1288971

1366346

1326402

1503005

1474790

1317156

1441045

1463498

1650207

1523045

1441636

1432033

1420416

1480171

1360810

1410213

1574808

1502702

1203344

1319737

1688990

1292641

1512571

1635918

Table #2: Total Brain Volume (in mm3) of Schizophrenia Patients

1331777

1487886

1066075

1297327

1499983

1861991

1368378

1476891

1443775

1337827

1658258

1588132

1690182

1569413

1177002

1387893

1483763

1688950

1563593

1317885

1420249

1363859

1238979

1286638

1325525

1588573

1476254

1648209

1354054

1354649

1636119

Is there enough evidence to show that the patients with schizophrenia have less TBV on average than a patient that is considered normal? Test at the 10% level.

(i) Let ?1= mean TBV of patients that are considered normal. Let ?2 = mean TBV of patients that had schizophrenia. Which of the following statements correctly defines the null hypothesis HO?

A. ?1 + ?2= 0

B. ?1 – ?2< 0 (?1 < ?2)

C. ?1 ? ?2 > 0 (?1 > ?2)

D. ?1 ? ?2 = 0 (?1 = ?2)

Enter letter corresponding to correct answer

(ii)   Let ?1= mean TBV of patients that are considered normal. Let ?2 = mean TBV of patients that had schizophrenia. Which of the following statements correctly defines the alternate hypothesis HA?

A. ?1 ? ?2 = 0 (?1 = ?2)

B. ?1 – ?2< 0 (?1 < ?2)

C. ?1 ? ?2 > 0 (?1 > ?2)

D. ?1 + ?2= 0

Enter letter corresponding to correct answer

(iii) Enter the level of significance ? used for this test:

Enter in decimal form. Examples of correctly entered answers: 0.01    0.02    0.05    0.10

(iv) For sample from population with mean = ?1 : Determine sample mean x¯1 and sample standard deviation s1iv  For sample from population with mean = ?1 :          Determine sample mean x¯1 and sample standard deviation s1 {"version":"1.1","math":"<math xmlns="http://www.w3.org/1998/Math/MathML"><mstyle mathsize="14px"><mrow><mfenced><mi mathvariant="bold">iv</mi></mfenced><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">For</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">sample</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">from</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">population</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">with</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">mean</mi><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">=</mo><mo mathvariant="bold">&#xA0;</mo><msub><mi mathvariant="bold-italic">&#x3BC;</mi><mn mathvariant="bold">1</mn></msub><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">:</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mspace linebreak="newline"></mspace><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">Determine</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">sample</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">mean</mi><mo mathvariant="bold">&#xA0;</mo><msub><mover><mi mathvariant="bold">x</mi><mo mathvariant="bold">&#xAF;</mo></mover><mn mathvariant="bold">1</mn></msub><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">and</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">sample</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">standard</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">deviation</mi><mo mathvariant="bold">&#xA0;</mo><msub><mi mathvariant="bold-italic">s</mi><mn mathvariant="bold">1</mn></msub></mrow></mstyle></math>"}

Enter sample mean in integer form (no decimals), then comma, then sample standard deviation in integer form. Examples of correctly entered answers:

13145,1211

-112845,13187

(v) For sample from population with mean = ?2 : Determine sample mean x¯2 and sample standard deviation s2v  For sample from population with mean = ?2 :       Determine sample mean x¯2 and sample standard deviation s2 {"version":"1.1","math":"<math xmlns="http://www.w3.org/1998/Math/MathML"><mstyle mathsize="14px"><mrow><mfenced><mi mathvariant="bold">v</mi></mfenced><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">For</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">sample</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">from</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">population</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">with</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">mean</mi><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">=</mo><mo mathvariant="bold">&#xA0;</mo><msub><mi mathvariant="bold-italic">&#x3BC;</mi><mn mathvariant="bold">2</mn></msub><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">:</mo><mspace linebreak="newline"></mspace><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">Determine</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">sample</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">mean</mi><mo mathvariant="bold">&#xA0;</mo><msub><mover><mi mathvariant="bold">x</mi><mo mathvariant="bold">&#xAF;</mo></mover><mn mathvariant="bold">2</mn></msub><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">and</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">sample</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">standard</mi><mo mathvariant="bold">&#xA0;</mo><mi mathvariant="bold">deviation</mi><mo mathvariant="bold">&#xA0;</mo><msub><mi mathvariant="bold-italic">s</mi><mn mathvariant="bold">2</mn></msub></mrow></mstyle></math>"}

Enter sample mean in integer form (no decimals), then comma, then sample standard deviation in integer form. Examples of correctly entered answers:

13145,1211

-112845,13187

(vi) Determine degrees of freedom df :

Enter value in decimal form rounded down to nearest whole number. Examples of correctly entered answers:

2 3 16 110

(vii) Determine test statistic:

Enter value in decimal form rounded to nearest ten-thousandth. Examples of correctly entered answers:

0.0104      3.0370        16.5000        110.0819

(viii) Using tables, calculator, or spreadsheet: Determine and enter p-value corresponding to test statistic.

Enter value in decimal form rounded to nearest ten-thousandth. Examples of correctly entered answers:

0.0001     0.0021     0.0305     0.6004      0.8143    1.0000

(ix) Comparing p-value and ? value, which is the correct decision to make for this hypothesis test?

A. Reject Ho

B. Fail to reject Ho

C. Accept Ho

D. Accept HA

Enter letter corresponding to correct answer.

(x) Select the statement that most correctly interprets the result of this test:

A. The result is not statistically significant at .10 level of significance. Sufficient evidence exists to support the claim that patients with schizophrenia have less TBV on average than a patient that is considered normal.

B. The result is not statistically significant at .10 level of significance. There is not enough evidence to support the claim that patients with schizophrenia have less TBV on average than a patient that is considered normal.

C. The result is statistically significant at .10 level of significance. Sufficient evidence exists to support the claim that patients with schizophrenia have less TBV on average than a patient that is considered normal.

D. The result is statistically significant at .10 level of significance. There is not enough evidence to support the claim that patients with schizophrenia have less TBV on average than a patient that is considered normal.

Enter letter corresponding to most correct answer














































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































Solutions

Expert Solution

The Null Hypothesis is

The alternative hypothesis is

#### By using R command

> X1=c(1663407,1583940,1299470,1535137,1431890,1578698,1453510,1650348,1288971,1366346,1326402,1503005,1474790,1317156,1441045,1463498,1650207,1523045,1441636,1432033,1420416,1480171,1360810,1410213,1574808,1502702,1203344,1319737,1688990,1292641,1512571,1635918)
> X1 ####TBV of the normal patients
[1] 1663407 1583940 1299470 1535137 1431890 1578698 1453510 1650348 1288971
[10] 1366346 1326402 1503005 1474790 1317156 1441045 1463498 1650207 1523045
[19] 1441636 1432033 1420416 1480171 1360810 1410213 1574808 1502702 1203344
[28] 1319737 1688990 1292641 1512571 1635918
> X2=c(1331777,1487886,1066075,1297327,1499983,1861991,1368378,1476891,1443775,1337827,1658258,1588132,1690182,1569413,1177002,1387893,1483763,1688950,1563593,1317885,1420249,1363859,1238979,1286638,1325525,1588573,1476254,1648209,1354054,1354649,1636119)
> X2 ####TBV of the schizophrenia patients
[1] 1331777 1487886 1066075 1297327 1499983 1861991 1368378 1476891 1443775
[10] 1337827 1658258 1588132 1690182 1569413 1177002 1387893 1483763 1688950
[19] 1563593 1317885 1420249 1363859 1238979 1286638 1325525 1588573 1476254
[28] 1648209 1354054 1354649 1636119
> mean(X1) ### Sample mean of X1
[1] 1463339
> mean(X2) ### Sample mean of X2
[1] 1451293
> var(X1) ##sample variance of X1
[1] 15739779000
> var(X2) ##sample variance of X2
[1] 29560690487
> sd(X1) ## sample standard deviation of X1
[1] 125458.3
> sd(X2) ## sample standard deviation of X2.
[1] 171932.2

> t.test(X1,X2)

Welch Two Sample t-test

data: X1 and X2
t = 0.31684, df = 54.817, p-value = 0.7526
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-64151.34 88243.39
sample estimates:
mean of x mean of y
1463339 1451293

The degrees of freedom is =54.817

The test statistics is =0.31841

p-value = 0.7513

The Pvalue 0.7513 indicates that we are unable to reject the null hypothesis at 10% level of significance.

The result is not statistically significant at .10 level of significance. There is not enough evidence to support the claim that patients with schizophrenia have less TBV on average than a patient that is considered normal.


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