To Be Confident or To Be Probable? That is the Question.
Spill the t... or the z?
What's Your Number?
In Other Words...
I Like Your Proportions, Even if You Are Mean.
A.S.S.U.M.E.
Always Strive for Sound and Useful Models in Estimation
100

True or False: Confidence intervals are random events.

False

100

What is the critical value for a 95% confidence interval of a population mean when the population standard deviation is known?

1.96

100

Estimate the sample size needed to construct a 95% confidence interval for a population mean with a margin of error of 1.3 and a population standard deviation of 15.7.

561

100

Interpret the following 98% confidence interval for the population mean: (5.23, 7.65).

We are 98% confident that the true population mean lies between 5.23 and 7.65.

100

Construct a 98% confidence interval for a population proportion given a sample proportion of 0.543 in a sample of 200 individuals.

(0.461,0.625)

100

What is an assumption about samples when constructing ALL confidence intervals?

Simple Random Sample

200

True or False: A method used to construct confidence intervals is a random event.

True

200

What is the critical value for a 98% confidence interval of a population proportion?

2.326

200

Estimate the sample size needed to construct a 98% confidence interval for a population mean with a margin of error of 1.3 and a sample standard deviation of 15.7 from a previous sample of size 52.

790

200

Interpret the following 93% confidence interval for the population proportion: 0.452  +- 0.133.

We are 93% confident that the true population proportion lies between 0.319 and 0.585.

200

Construct a 90% confidence interval for a population proportion given 12 individuals of 63 sampled have a desired characteristic.

(0.109,0.272)

200

Name an assumption for constructing a confidence interval for a population mean when the standard deviation is unknown.

Sample is large (n > 30) or population is approximately normal.

300

A researcher claims that the probability is 0.99 that the confidence interval constructed using an appropriate method for a given sample of data will cover the population mean. Is this statement correct?

Yes, it is correct.

300

What is the critical value for a 95% confidence interval of a population mean when the population standard deviation is unknown and n=10?

2.262

300

Estimate the sample size needed to construct a 90% confidence interval for a population proportion with a margin of error of 0.6 and a sample proportion of 0.278 from a previous sample.

151

300

This confidence interval represents the proportion of voters in agreement with a certain legislation: (0.125,0.154)

A researcher had previously claimed 14% of the voters agree with the legislation. Does your confidence interval support or contradict this claim?

Because 0.14 is within the 95% confidence interval, the interval supports the researcher’s claim.

300

Construct a 99% confidence interval for a population proportion given a sample of 12 individuals and 3 with the desired quality.

(0.014,0.611)

300

Name an assumption for constructing a confidence interval for a population mean when the standard deviation is known.

Sample is large (n > 30) or population is approximately normal.

400

After calculating a confidence interval for the population mean, a researcher claims that the probability is 0.99 that the population mean is between 4.2 and 6.4. Is this statement correct?

No, this statement is incorrect.

400

Construct a 99% confidence interval for a population mean if xbar= 23.8, n=49 and sigma=0.93.

(23.46,24.14)

400

Estimate the sample size needed to construct a 90% confidence interval for a population proportion with a margin of error of 0.6 and no previous sample proportion available.

188
400

A government official suspects that the mean age of licensed drivers is getting older. He thinks that reports that the mean age of drivers is 38.4 is fraudulent. Therefore, he constructs a 98% confidence interval to estimate the mean age of drivers and finds it to be 36.8 +- 3.5. Did he uncover fraud?

The official did not uncover fraud. The confidence interval suggests that the true mean could indeed be 38.4.

400

Why might two confidence intervals constructed from samples of the same size and with the same confidence level yield different results?

Two confidence intervals from the same population, with the same sample size, and same confidence level can differ because each comes from a different sample. Therefore, each will have a different xbar or phat, resulting in different confidence intervals, even if the margins of error are the same.

This is why we say that we have a certain level of confidence that the interval will contain the true population mean or proportion or that the method of constructing the confidence interval has a probability equivalent to a certain level of confidence of covering the true population mean or proportion.

400

Name an assumption related to the population size for constructing a confidence interval for a population proportion.

The population is at least 20 times as large as the sample.

The population is divided into two categories.

500

Interpret the following 98% confidence interval: 0.263<p<0.428

We are 98% confident that the population proportion is between 0.263 and 0.428.
500

Construct a 90% confidence interval for a population mean if xbar= 52.6, n=35 and s=1.3.

(52.23,52.97)

500

Does the margin of error, and thus the necessary sample size for a given margin of error, depend on the population size?

No, assuming a population is not very small.

500

Another government official suspects that the mean age of licensed drivers is getting younger. He thinks that reports that the mean age of drivers is 38.4 is fraudulent. Therefore, he constructs a 98% confidence interval to estimate the mean age of drivers and finds it to be 35.2 +- 1.3. Did he uncover fraud?

The confidence interval does not support the claim of 38.4. The official’s findings suggest the reported mean may be inaccurate.

500

Two government officials suspect that the mean age of licensed drivers is not accurate. Both think that reports that the mean age of drivers is 38.4 is fraudulent. Therefore, they both construct 98% confidence intervals to estimate the mean age of drivers. One finds it to be 36.8 +- 3.5. The other finds it to be 35.2 +- 1.3. Taken together, did they uncover fraud? Why or why not?

Taken together, the officials cannot definitively uncover fraud. One interval includes the reported mean, so there is still a reasonable possibility that the reported mean could be accurate.

500

Name an assumption related to the sample for constructing a confidence interval for a population proprtion.

The sample must contain at least 10 individuals in each category.

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