ST 311 Exam 1

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29 Terms

1
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What is a Simple Random Sample (SRS)?

Every individual in the population has the same chance of being chosen.

2
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What is a Stratified Sample?

Population is divided into strata (groups) and random samples are taken from each group.

3
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What is a Cluster Sample?

Population is split into clusters, and entire clusters are randomly selected.

4
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What is a Convenience Sample?

Choosing individuals easiest to reach; usually biased.

5
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What is Undercoverage bias?

When some groups in the population are left out of the sampling process.

6
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What is Non-response bias?

When selected individuals do not respond, leading to bias.

7
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What is Response bias?

When respondents do not answer truthfully or question wording affects answers.

8
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What is the difference between an Experiment and an Observational Study?

Experiment = researcher imposes treatment. Observational study = only observing/recording.

9
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What is a Confounding Variable?

A hidden variable that influences both the explanatory and response variable.

10
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Categorical vs Quantitative Variables?

Categorical = groups/labels. Quantitative = numerical values.

11
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Discrete vs Continuous Variables?

Discrete = countable (e.g., # of pets). Continuous = measurable (e.g., weight).

12
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How does skew affect mean vs median?

Right skew: mean > median. Left skew: mean < median.

13
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What does the box in a boxplot represent?

The middle 50% of data (Q1 to Q3).

14
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What is Standard Deviation?

A measure of spread around the mean. Larger SD = more spread

15
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What is the Z-score formula?

z = (x - µ) / σ

16
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What is considered unusual in z-scores?

Values with |z| > 2 are unusual.

17
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What is the Empirical Rule?

68% within 1 SD, 95% within 2 SD, 99.7% within 3 SD.

18
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What is a Parameter vs a Statistic?

Parameter = population measure (µ, p). Statistic = sample measure

19
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What is the Central Limit Theorem?

For large n, the sampling distribution of the mean is approximately Normal

20
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What are the conditions of a Binomial distribution?

Fixed n, two outcomes, constant p, independent trials.

21
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What is Expected Value?

The long-run average of a random variable over many trials

22
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When is a value unusual?

If it is more than 2 SD away from the mean or has a z-score beyond ±2.

23
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If population is skewed but sample size is large, what is the shape of the sampling distribution of the mean?

Approximately Normal, due to the Central Limit Theorem.

24
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When should you use the median instead of the mean?

When the data is skewed or has strong outliers, since the median is more resistant to extremes.

25
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How does sample size affect the standard deviation of the sample proportion?

Larger sample sizes decrease the standard deviation of the sampling distribution.

26
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Which graphs are appropriate for continuous, skewed data?

Histogram, Boxplot, or Dot plot. Bar charts are for categorical data.

27
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For a Normal distribution, what is the best measure of spread?

Standard deviation, because it describes the typical distance from the mean

28
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Which measure of center is best when data is skewed?

The median, because it is less affected by extreme values compared to the mean.

29
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What does a Z-score tell us?

How many standard deviations a value is away from the mean. z = (x - µ)/σ.