ACC 117 Quiz 2

They determine probability of characteristics of population based on the characteristics of sample and help assess strength of the relationship between independent (causal) variables, and dependent (effect) variables.

• Descriptive Statistic

• Inferential Statistic

• Nominal data

• Ordinal data

It a type of non probability sampling which the investigator may take those that his hands rest on, without conscious to planning.

• Convenience sampling

• systematic sampling

• Haphazard Sampling

• Judgement Sampling or Subjective Sampling

It is a type of probability sampling which obtained by selecting every kth individual from the population, when there is no count of the population size.

• Systematic Sampling

• Cluster Sampling

• Volunteer Sampling

• Haphazard Sampling

It is a type of Hypothesis which suggests no effect or relationship exists between variables

• Alternative Hypothesis

• Null Hypothesis

• Pearson Correlation

• Confidence Interval

Is that value of a statistic, which has been calculated from a sample, and it estimates a parameter of the population.

• Proportion

• Mean

• Variance

• Point Estimate

Is a range of values used to estimate a population parameter, such as a population mean or proportion, with a specified level of confidence. Instead of providing a single point estimate (like the sample mean), an interval estimate gives a range that is likely to contain the true value of the parameter.

• Confidence Level

• Interval estimate

• Confidence Interval

• Degree of Freedom

Is the probability that a confidence interval contains the true population parameter, such as a population mean or proportion. It represents the degree of certainty or reliability of the interval estimate. It is usually expressed as a percentage. It indicates how often the confidence intervals, created from repeated samples of the population, would contain the true parameter if the process were repeated indefinitely.

• Interval estimate

• Confidence Interval

• Confidence level

• Point Estimate

It reflects the level of uncertainty associated with a particular statistic and is often used alongside a margin of error. It indicates how confident you can be that the results from a poll or survey represent what you would expect to find if the entire population were surveyed. When an interval estimate includes a confidence level, it conveys this degree of confidence

• Confidence Level

• Confidence Interval

• PointEstimate

• Interval Estimate

A group of 9 company managers had a mean weight of 280 pounds. The sample standard deviation was 30 pounds. Find a confidence interval for a sample for the true mean weight of all company managers. Confidence level is 95%. Compute for Interval Estimate- the lower and upper limit.

(T-distribution table value- 2.306)