Chapter 7 Flashcards

1
Q

Sampling error

A

The difference between the value of a sample statistic and the value of the corresponding population parameter.
Can’t be avoided.

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2
Q

Non-sampling error

A

Errors occurring in collecting, recording and tabulation of data.
Can be minimized.

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3
Q

Probability distribution of X bar

A

Sampling distribution

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4
Q

Sample mean is a…

A

Random variable

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5
Q

Mean of x bar is always equal to…

A

The mean of the population

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6
Q

Unbiased estimator

A

When the mean of a sample statistic is equal to the value of the corresponding population parameter

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7
Q

The standard deviation of x bar is…

A

Not equal to the standard deviation of the population.
SD of x bar decreases as n increases.
SD of x bar is less than population SD.

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8
Q

Finite population correction factor

A

Multiplied to the SD sample when n/N is less than or equal to 0.05.

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9
Q

Sampling distribution shape of x bar: case one

A

If the population from which the samples are drawn are normally distributed, then the sampling distribution of the sample mean, x bar, will also be normally distributed.

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10
Q

Sampling distribution shape of x bar: case two

A

If the populations from which the samples are drawn is not normally distributed, according to the central limit theorem, for a large sample size (n greater than or equal to 30) the sampling distribution of x bar is approx. Normal, irrespective of the shape of the population distribution.

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11
Q

Empirical rule

A

68.26 % of the sample means will be within one standard deviation of the population mean.
95.44% is within 2 SD’s.
99.74% is within 3 SD’s.

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12
Q

Population proportion

A

Represents the fraction of individuals in a population that possess a certain characteristic.
P =x/ N
X= number of elements in the population that possess the characteristic.
N = total elements in population

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13
Q

Sample proportion

A

Estimates the population proportion based on a sample taken from the population.
Phat = x/n
X= number of elements in the sample that possess a specific characteristic.
N= total sample elements

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14
Q

Sampling error for proportions

A

P hat - p
Difference between sample proportions and population proportion.

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15
Q

Sampling distribution of p hat

A

Since p hat is a Radom variable it has a probability distribution

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16
Q

Mean of the sample proportion is equal to…

A

The population proportion

17
Q

Sampling distribution shape of p hat

A

According to the central limit theorem, the sample distribution of p hat is approx. normal if np >5 and nq >5