Lecture 6 - Independent Samples T-Test. T-Statistics. Hypothesis Testing. Box Plots. Flashcards

1
Q

Which statistic tells us about the variability in our sample?

A

The standard deviation

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2
Q

Estimations of means and mean differences are more accurate when sample sizes are ______ and standard deviations are _______.

A

Estimations of means and mean differences are more accurate when sample sizes are LARGER and standard deviations are SMALLER.

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3
Q

Which statistic encapsulates the sample size and the standard deviation?

A

The standard error of the mean.

σ ∕ √N

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4
Q

We expect greater accuracy in estimation when the SE of the mean is _________.

A

We expect greater accuracy in estimation when the SE of the mean is SMALLER.

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5
Q

A difference is bigger when the mean differences are ______ and standard deviations are _______.

A

A difference is bigger when the mean differences are GREATER and standard deviations are SMALLER.

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6
Q

Which statistic encapsulates the mean difference and the standard deviations in a sample?

A

The effect size.

d = M1 - M2 / SD

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7
Q

Which statistic encapsulates the sample size, the mean difference, and the standard deviations?

A

The T-Statistic

One Sample t = x̄ - μ / SE

Related Samples t = x̄1 - x̄2 / SE

Independent Samples
t = x̄1 - x̄2 / √ (Ssq1 / N1) + (Ssq2 / N2)

sq = squared (sorry, can’t seem to copy the superscript 2!)

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8
Q

What does a greater magnitude (large positive or large negative) of t-value indicate?

A

Stronger evidence of a difference

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9
Q

On a t-distribution, which areas under the curve represent the p-value?

A

The areas from the t-statistic and more extreme on both sides of the distribution.

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10
Q

Which statistics are represented in a box and whisker diagram?

A

Median, Range, Highest and Lowest Observations, Quartile 1 (Lower Q) and Quartile 3 (Upper Q)

You can also see the general distribution of the scores ie whether the data are symmetrical or skewed.

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11
Q

Which 3 things do you need to cover when reporting the results of a t-test?

A
  1. DIRECTION: How do the groups compare using directional words? eg Group A was faster than Group B, Group A was shorter than Group B.
  2. MAGNITUDE: Descriptive statistics - Means, SD, Effect Size (cohen’s d)
  3. SIGNIFICANCE: Inferential Statistics - T-Test results t(df)=0.00, p=.000 and the decision/conclusion
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12
Q

If the t-value is larger, the difference between the means is ________.

A

Larger.

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13
Q

If the t-value is larger, the standard error of differences between the means is ________.

A

Smaller.

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14
Q

The t-value is larger if the standard deviation of the samples is ______.

A

Smaller.

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15
Q

The t-value is larger if the sample size is _______.

A

Larger.

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16
Q

How does the df affect the p-value?

A

The same t-value for a group with a higher df will result in a smaller p-value.

17
Q

Why do we use a t-test?

A

The t-test is used to determine whether we have enough evidence of a difference in our sample data.

Running a t-test gives us a probability (p-value) that we can use as evidence of whether or not there is a mean difference.