S-adenosyl methionine (SAM-e) is a naturally occurring compound in human cells that is thought to have an effect on depression symptoms. Suppose that a researcher is interested in testing SAM-e on patients who are struggling with Alzheimer's. She obtains a sample of n= 30 patients and asks each person to take the suggested dosage each day for 4 weeks. At the end of the 4-week period, each individual takes the Beck Depression Inventory (BDI), which is a 21-item, multiple-choice self-report inventory for measuring the severity of depression. The scores from the sample produced a mean of M = 26.2 with a standard deviation of s = 2.97. In the general population of Alzheimer's patients, the standardized test is known to have a population mean of u = 28.1. Because there are no previous studies using SAM-e with this population, the researcher doesn't know how it will affect these patients; therefore, she uses a two-tailed single-samplet test to test the hypothesis. From the following, select the correct null and alternative hypotheses for this study: O He: PSAM-e s 28.1; H: PSAMe > 28.1 O Hạ: MSAMe 2 28.1; H,: MSAM-e < 28.1 O Họ: HSAM e - 28.1; H: PSAMe 28.1 O He: MSAMe 2 28.1; H: MSAM-e > 28.1 Assume that the depression scores among patients taking SAM-e are normally distributed. You will first need to determine the degrees of freedom. There are v degrees of freedom. Use the t distribution table to find the critical region for a = 0.01. The t Distribution: Proportion in One Tail 0.25 0.10 0.05 0.025 0.01 0.005 Proportion in Two Tails Combined df 0.50 0.20 0.10 0.05 0.02 0.01

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S-adenosyl methionine (SAM-e) is a naturally occurring compound in human cells that is thought to have an effect on depression symptoms. Suppose
that a researcher is interested in testing SAM-e on patients who are struggling with Alzheimer's. She obtains a sample of n% =
30 patients and asks
each person to take the suggested dosage each day for 4 weeks. At the end of the 4-week period, each individual takes the Beck Depression
Inventory (BDI), which is a 21-item, multiple-choice self-report inventory for measuring the severity of depression.
The scores from the sample produced a mean of M = 26.2 with a standard deviation of s = 2.97. In the general population of Alzheimer's patients, the
standardized test is known to have a population mean of p= 28.1. Because there are no previous studies using SAM-e with this population, the
researcher doesn't know how it will affect these patients; therefore, she uses a two-tailed single-sample t test to test the hypothesis.
From the following, select the correct null and alternative hypotheses for this study:
Ho: HSAM-e 28.1; H1: PSAM > 28.1
O Ho: MSAM-e 2 28.1; H: MSAM-e < 28.1
O Họ: HSAM-e = 28.1; H: USSAM-e 28.1
O Họ: MSAM- 2 28.1; H: MSAM-e > 28.1
Assume that the depression scores among patients taking SAM-e are normally distributed. You will first need to determine the degrees of freedom.
There are
degrees of freedom.
Use the t distribution table to find the critical region for a = 0.01.
The t Distribution:
Proportion in One Tail
0.25
0.10
0.05
0.025
0.01
0.005
Proportion in Two Tails Combined
df
0.50
0.20
0.10
0.05
0.02
0.01
1
1.000
3.078
6.314
12.706
31.821
63.657

21
0.686
1.323
1.721
2.080
2.518
2.831
22
0.686
1.321
1.717
2.074
2.508
2.819
23
0.685
1.319
1.714
2.069
2.500
2.807
24
0.685
1.318
1.711
2.064
2.492
2.797
25
0.684
1.316
1.708
2.060
2.485
2.787
26
0.684
1.315
1.706
2.056
2.479
2.779
27
0.684
1.314
1.703
2.052
2.473
2.771
28
0.683
1.313
1.701
2.048
2.467
2.763
29
0.683
1.311
1.699
2.045
2.462
2.756
30
0.683
1.310
1.697
2.042
2.457
2.750
40
0.681
1.303
1.684
2.021
2.423
2.704
60
0.679
1.296
1.671
2.000
2.390
2.660
120
0.677
1.289
1.658
1.980
2.358
2.617
0.674
1.282
1.645
1.960
2.326
2.576
8.
The critical t scores (the values that define the borders of the critical region) are
The estimated standard error is
The t statistic is
The t statistic
in the critical region. Therefore, the null hypothesis
rejected.
Therefore, the researcher
conclude that SAM-e has a significant effect on the moods of Alzheimer's patients.

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