Practice Quiz-Lecture 4 Flashcards

1
Q

The central limit theorem describes the distribution of

A

sample mean

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2
Q

To obtain an 80% confidence interval for the population mean of triglyceride levels using a sample of n = 20 individuals, the critical value is

A

1.328

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3
Q

To obtain an 80% confidence interval for the population mean of triglyceride levels, researchers sample n = 25 individuals and obtained a sample mean triglyceride level of 120 mg/dL. The population standard deviation of 5 mg/dL. The standard error of the distribution of the sample mean is

A

1 mg/dL
-standard error of the sample mean of triglyceride level = standard deviation of triglyceride level / square root of n.

Here standard deviation of triglyceride level = 5 and n = 25. Hence, standard error = 5 / square root of 25 = 5/5 = 1.

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4
Q

To test whether the average triglyceride level in the population of United States (denoted mu) is below 145 mg/dL, researchers sample n = 25 individuals and obtained a sample mean triglyceride level of 120 mg/dL with standard deviation of 5 mg/dL. The null hypothesis is

A

H0: mu = 145 mg/dL

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5
Q

To test whether the average triglyceride level in the population of United States (denoted mu) is below 145 mg/dL, researchers sample n = 25 individuals and obtained a sample mean triglyceride level of 120 mg/dL with standard deviation of 5 mg/dL. The critical value at alpha = 0.05 is

A

2.064

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6
Q

Type I error is the probability that:

A

H0 is rejected when H0 is actually true

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7
Q

When rejecting a null hypothesis H0: mu = mu0 against an alternative hypothesis HA: mu not equal to mu0 using a test statistic T, we reject H0 when

A

Absolute value of T is greater than the critical value

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8
Q

P-value is

A

Probability of observing the test statistic T or something more extreme under the null hypothesis

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9
Q

When testing hypothesis about proportions

A

The standard error is calculated using the proportion under the null hypothesis

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10
Q

When testing hypothesis about proportions, obtain the critical value from

A

Always obtain from a standard normal distribution, regardless of n

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