What is the definition of independent samples quizlet?

A. -10.30 to -4.23

CI = (d bar) ± tα/₂ • (sd/√n)

1) Find di
-11, -5.5, -9.4, -13.6, 2.9, -10.7, 0.1, -7.4, -21.5, 5.3, 3.8, -11.4, -13.4, -13.1, -9, -3.9, -5.7
∑di = -123.5

2) Find (d bar)
(d bar) = ∑di/n = -123.5/17 = -7.264705882

3) Find [di - (d bar)]²
13.9524, 3.11419, 4.55948, 40.13595, 103.32125, 11.80125, 54.23889, 0.018304, 202.64360, 157.87183, 122.42772, 17.10066, 37.64183, 34.05066, 3.011246

4) Find sd
sd = √{∑[di - (d bar)]²/(n-1)}
sd = √(819.658815/16) = 7.157421018

5) Find df; df=n-1 = 17-1 = 16

6) Find tα/₂
CL=1-α
0.9=1-α
α=0.10; α/2=0.05
t₀.₀₅ w/ 16 df = ±1.746

7) Plug it all in
CI: (d bar) ± tα/₂ • sd/√n
= -7.264705882 ±1.746 • 7.157421018/√17

B.
a. We can be 90% confident that the weight gain that'd be obtained, on average, by using the family therapy treatment is somewhere between the endpoints of the confidence interval.

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What is the definition of independent samples?

groups of individuals or sets of data that are unrelated to one other. For example, experimental groups consisting of different and unrelated participants are independent samples, as are the data sets obtained from these groups. Also called independent groups. Compare dependent samples.

What is the independent samples t

What is the purpose of Independent sample t-test? It is used when you have two samples that are not related to one another and you want to see of there is a difference between the means of the two populations form which the samples are drawn.

What is independent sample experiment?

The Independent Samples t Test compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different.

What are two independent samples?

The independent samples mean that the two samples cannot be from the same group of people and they cannot be related in any way. However, two-sample T-test can also be used for pairwise comparisons when the “two” samples represent the same items tested in different scenarios.