Statistics Lecture Review

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These flashcards cover key concepts, hypothesis testing, and statistical terms from the lecture notes on statistics.

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19 Terms

1
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What is the claim regarding the mean weight of the cereal pack?

The claim is that μ is greater than or equal to 14 ounces.

2
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What is the null hypothesis in this lecture?

H₀: μ = 14 ounces.

3
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What is the alternative hypothesis formulated during the lecture?

H₁: μ < 14 ounces.

4
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What is the value of the t score calculated in the example?

The t score calculated was approximately 0.408.

5
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What is the significance level mentioned during the lecture?

The level of significance mentioned is 0.01.

6
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For hypothesis testing with sigma known, which score is used?

The z score is used when sigma is known.

7
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How is p hat defined in the context of hypothesis testing?

P hat (p̂) represents the sample probability.

8
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What is the difference between p and p hat?

P is the population proportion, while p hat is the sample proportion.

9
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What does it mean if you fail to reject the null hypothesis?

It means there is insufficient evidence to support the alternative hypothesis.

10
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What is the significance level for the right tail test mentioned in the lecture?

The significance level for the right tail test is 0.05.

11
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What critical value is related to the significance level of 0.05 in a right-tailed test?

The critical value is approximately 1.645.

12
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What does it indicate if a test statistic falls within the fail to reject region?

It indicates that you do not have enough evidence to reject the null hypothesis.

13
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What is the formula used in hypothesis testing for proportions?

The formula is p hat minus p over the square root of p times q divided by n.

14
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How do you find the critical value for a two-tailed test with alpha 0.05?

The critical values are approximately -1.96 and 1.96.

15
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What does it indicate if the test statistic is greater than the critical value in a right-tailed test?

It indicates you reject the null hypothesis.

16
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What is the sample size (n) mentioned for calculating p hat?

The sample size (n) mentioned is 200.

17
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In hypothesis tests, what does the alpha level represent?

The alpha level represents the probability of making a Type I error.

18
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What does the term 'two tails' imply in hypothesis testing?

It implies that the test considers deviations in both directions from the mean.

19
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What is the p value discussed during the lecture when there is a failure to reject the null hypothesis?

The p value is greater than the alpha level.