TABLE 8-1 A Random Sample of 100 Stores from a Large Chain

question 215

True/False

TABLE 8-1
A random sample of 100 stores from a large chain of 500 garden supply stores was selected to determine the mean number of lawnmowers sold at an end-of-season clearance sale. The sample results indicated a mean of 6 and a standard deviation of 2 lawnmowers sold. A 95% confidence interval (5.623 to 6.377) was established based on these results.
-Referring to Table 8-1, of all possible samples of 100 stores taken from the population of 1,000 stores, 95% of the confidence intervals developed will contain the true population mean within the interval.

Recognize the significance of everyday conversations and interactions in constructing social reality.

Identify the types of conversations analyzed by ethnomethodologists and understand their structured nature.

Describe how ethnomethodological analysis applies to different conversational techniques and their effects.

Comprehend the critique against ethnomethodology regarding its focus and applicability.

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Definitions:

Nonsampling Error

Any difference between the value of a sample statistic (such as the sample mean, sample standard deviation, or sample proportion) and the value of the corresponding population parameter (population mean, population standard deviation, or population proportion) that is not the result of sampling error. These include but are not limited to coverage error, nonresponse error, measurement error, interviewer error, and processing error.

Nonresponse Error

Nonsampling error that results when some segments of the population are either more or less likely to respond to the survey mechanism.

Nonsampling Errors

Errors that occur during data collection, causing data to differ from the true values, not related to the sample being non-representative.

Coverage Error

Nonsampling error that results when the research objective and the population from which the sample is to be drawn are not aligned.