You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook. (Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.) The spend8 variable has a sample mean of ______. Make sure you use [pw=nesw] so your results are nationally representative. There is a probability of .95 that spend8’s true population mean falls between a score of ______ at the low end and a score of ______ at the high end. A student researcher hypothesizes that political science majors will score significantly higher on spend8 than the typical adult. The student researcher also hypothesizes that business majors will score significantly lower on spend8 than the average adult. Using the same questions asked in the NES, the researcher obtains scores on spend8 from a group of political science majors and a group of business majors. Here are the results: political science majors’ mean, 4.53; business majors’ mean, 4.05. Using the confidence interval approach, you can infer that (check one) ■ political science majors do not score significantly higher on spend8 than U.S. adults. ■ political science majors score significantly higher on spend8 than U.S. adults. Using the confidence interval approach, you can infer that (check one) ■ business majors do not score significantly lower on spend8 than U.S. adults. ■ business majors score significantly lower on spend8 than U.S. adults. Run lincom to evaluate the difference between the NES spend8 mean and the business majors’ mean. (For the purposes of this question, treat the business majors’ mean, 4.05, as a hypothesized value for a one-sample test.) The mean difference is equal to ______. The t-ratio of the mean difference is equal to _______. The p-value is equal to _______. Interpret the p-value you recorded in part D. Suppose someone hypothesized that the business majors’ mean was drawn from the same population that produced the NES spend8 mean. Applying the .05 rule, you would (circle one) reject not reject

You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook. (Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.) The spend8 variable has a sample mean of __. Make sure you use [pw=nesw] so your results are nationally representative. There is a probability of .95 that spend8’s true population mean falls between a score of at the low end and a score of at the high end. A student researcher hypothesizes that political science majors will score significantly higher on spend8 than the typical adult. The student researcher also hypothesizes that business majors will score significantly lower on spend8 than the average adult. Using the same questions asked in the NES, the researcher obtains scores on spend8 from a group of political science majors and a group of business majors. Here are the results: political science majors’ mean, 4.53; business majors’ mean, 4.05. Using the confidence interval approach, you can infer that (check one) ■ political science majors do not score significantly higher on spend8 than U.S. adults. ■ political science majors score significantly higher on spend8 than U.S. adults. Using the confidence interval approach, you can infer that (check one) ■ business majors do not score significantly lower on spend8 than U.S. adults. ■ business majors score significantly lower on spend8 than U.S. adults. Run lincom to evaluate the difference between the NES spend8 mean and the business majors’ mean. (For the purposes of this question, treat the business majors’ mean, 4.05, as a hypothesized value for a one-sample test.) The mean difference is equal to . The t-ratio of the mean difference is equal to _. The p-value is equal to ___. Interpret the p-value you recorded in part D. Suppose someone hypothesized that the business majors’ mean was drawn from the same population that produced the NES spend8 mean. Applying the .05 rule, you would (circle one) reject not reject

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook.

(Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.)

The spend8 variable has a sample mean of ______. Make sure you use [pw=nesw] so your results are nationally representative.
There is a probability of .95 that spend8’s true population mean falls between a score of ______ at the low end and a score of ______ at the high end.
A student researcher hypothesizes that political science majors will score significantly higher on spend8 than the typical adult. The student researcher also hypothesizes that business majors will score significantly lower on spend8 than the average adult. Using the same questions asked in the NES, the researcher obtains scores on spend8 from a group of political science majors and a group of business majors. Here are the results: political science majors’ mean, 4.53; business majors’ mean, 4.05.
Using the confidence interval approach, you can infer that (check one)
- ■ political science majors do not score significantly higher on spend8 than U.S. adults.
- ■ political science majors score significantly higher on spend8 than U.S. adults.
Using the confidence interval approach, you can infer that (check one)
- ■ business majors do not score significantly lower on spend8 than U.S. adults.
- ■ business majors score significantly lower on spend8 than U.S. adults.
Run lincom to evaluate the difference between the NES spend8 mean and the business majors’ mean. (For the purposes of this question, treat the business majors’ mean, 4.05, as a hypothesized value for a one-sample test.) The mean difference is equal to ______. The t-ratio of the mean difference is equal to _______. The p-value is equal to _______.
Interpret the p-value you recorded in part D. Suppose someone hypothesized that the business majors’ mean was drawn from the same population that produced the NES spend8 mean. Applying the .05 rule, you would (circle one)
reject not reject

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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