Question

In: Statistics and Probability

A probability of 1 is the same as a probability of 100% The difference between interval...

A probability of 1 is the same as a probability of 100%

The difference between interval and ordinal data is that interval data has a natural zero.

If you are doing a study and the population is Americans, the easiest type of study to run would be a simple random sample.

If your population is 80% female and your sample is 60% male, there is undercoverage bias.

In order to calculate a mean on Excel, we type in "=MEAN".

Solutions

Expert Solution

A probability of 1 is the same as a probability of 100%.

correct/ true.

The range of probability is 0 to 1. In term of percentage i.e fraction of 100, multiply the probability by 100.

Hence probability of 1 is the same as a probability of 100%.

The difference between interval and ordinal data is that interval data has a natural zero.

incorrect/ false.

The interval scale the zero is arbitrary( NO NATURAL ZERO POINT), like zero temperature.It does not mean that there is no temperature. But when interval data have a natural zero point it is a ratio scale.

Ordinal data are defined categories

The main difference between the   interval and ordinal data is that interval data are related to difference of value within two consecutive values, and ordinal data are related to order, rank or categories etc.

If you are doing a study and the population is Americans, the easiest type of study to run would be a simple random sample.

correct/true.

In simple random sampling each unit has an equal probability of getting selected, hence have very little bias.

For a large population like Americans, cluster sampling will be more appropriate (each state will be cluster) but it is time consuming and complex. The easiest way is simple random sampling.

If your population is 80% female and your sample is 60% male, there is undercoverage bias.

correct/ true

Here the proportion of male in sample is representing bias (especially selection bias.). There is lack of enough randomness in selection procedure . Hence there is undercoverage bias.

In order to calculate a mean on Excel, we type in "=MEAN".

Incorrect/false

The function for mean in Excel is "=AVERAGE" and not "=MEAN".Hence   to calculate a mean on Excel, we type in "=AVERAGE".


Related Solutions

10.11 Use the same information provided to construct the required confidence interval for the difference between...
10.11 Use the same information provided to construct the required confidence interval for the difference between the two population means a) a 90% confidence interval Sample1 Sample 2 x1= 105 x2= 97 x21= 131 s22= 112 n1= 13 n2= 16 b) a 95% confidence interval Sample1 Sample 2 x1= 131 x2= 97 x21= 950 s22= 1050 n1= 102 n2= 133
Explain the difference between a confidence interval and a prediction interval?
Explain the difference between a confidence interval and a prediction interval?
1. Explain the difference between the point estimate and interval estimate (confidence interval). 2. What is...
1. Explain the difference between the point estimate and interval estimate (confidence interval). 2. What is margin of error? 3. Why must we use the point estimate pˆ (sample proportion) in the calculation of the standard error when producing a confidence interval for p (population proportion)? 4. Assamplesizeincreases,whatistheeffectonthemarginoferror? Why? 5. Asconfidencelevelincreases,whatistheeffectonthemarginof error? Why? 6. Whatdetermineswhethertouseat-distributionoranormaldistribution for finding a confidence interval for μ ? 7. What is the condition to use Chi-squared distribution when estimating the population standard deviation? 8. Describe...
(1) Describe the difference between empirical and theoretical probability. (2) Find the theoritical probability of tossing...
(1) Describe the difference between empirical and theoretical probability. (2) Find the theoritical probability of tossing three coins and getting 2 heads, 1 tail. (3) Toss three coins at once 50 times and record the out come of getting 2 heads, 1 tail. (4)) Based on your observations, give the empirical probability of each result.
Describe a confidence interval for the difference in means between two population by stating 1. a...
Describe a confidence interval for the difference in means between two population by stating 1. a pair of populations composed of the same type of individuals and a quantitative variable on those populations, 2. sizes and degrees of freedom of samples from those populations, 3. the means of those samples, and 4. the standard deviations of those samples. Then state 5. a confidence level and find 6. find the interval. Finally, perform a test of significance concerning the difference in...
the difference between central tendency & variability? A. There is no difference they mean the same...
the difference between central tendency & variability? A. There is no difference they mean the same thing B. central tendency describes the average score, while variability describes how the scores are spread out C. none of the above D. central tendency describes how the scores are spread out, while variability describes the average score
1. Confidence interval for the difference between the two population means. (Assume that the two samples...
1. Confidence interval for the difference between the two population means. (Assume that the two samples are independent simple random samples selected from normally distributed populations.) A researcher was interested in comparing the GPAs of students at two different colleges. Independent simple random samples of 8 students from college A and 13 students from college B yielded the following summary statistics: College A College B = 3.1125 = 3.4385 s1 = 0.4357 s2 = 0.5485 n1 = 8 n2 =...
1. The tolerance interval of 95.44 percent is ________ a 95.44 percent confidence interval. the same...
1. The tolerance interval of 95.44 percent is ________ a 95.44 percent confidence interval. the same width as narrower than wider than 2. The U.S. Department of Health and Human Services collected sample data for 772 males between the ages of 18 and 24. That sample group has a mean height of 69.7 inches with a standard deviation of 2.8 inches. Find the 99 percent confidence interval for the mean height of all males between the ages of 18 and...
Discuss interval estimates for the difference between two population proportions
Discuss interval estimates for the difference between two population proportions
What is the difference between semiclassical probability density and classical probability density? Note: This is for...
What is the difference between semiclassical probability density and classical probability density? Note: This is for a quantum physics 2 course.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT