(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a? O At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant. O At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant. At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant. O At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. (e) Interpret your conclusion in the context of the application. Reject the null hypothesis, there is sufficient evidence that the mean percentage of young adults who attend college is higher. O Reject the null hypothesis, there is insufficient evidence that the mean percentage of young adults who attend college is higher. O Fail to reject the null hypothesis, there is insufficient evidence that the mean percentage of young adults who attend college is higher. O Fail to reject the null hypothesis, there is sufficient evidence that the mean percentage of young adults who attend college is higher.
(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a? O At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant. O At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant. At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant. O At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. (e) Interpret your conclusion in the context of the application. Reject the null hypothesis, there is sufficient evidence that the mean percentage of young adults who attend college is higher. O Reject the null hypothesis, there is insufficient evidence that the mean percentage of young adults who attend college is higher. O Fail to reject the null hypothesis, there is insufficient evidence that the mean percentage of young adults who attend college is higher. O Fail to reject the null hypothesis, there is sufficient evidence that the mean percentage of young adults who attend college is higher.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Hi can you correct the wrong questions?
![(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a?
O At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.
O At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
(e) Interpret your conclusion in the context of the application.
O Reject the null hypothesis, there is sufficient evidence that the mean percentage of young adults who attend college is higher.
O Reject the null hypothesis, there is insufficient evidence that the mean percentage of young adults who attend college is higher.
O Fail to reject the null hypothesis, there is insufficient evidence that the mean percentage of young adults who attend college is higher.
O Fail to reject the null hypothesis, there is sufficient evidence that the mean percentage
young adults who attend college is higher.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8619578c-37b5-4fb0-aae6-ee38ee9fdc66%2Fe9b4f9b9-541c-443e-936a-b110b5709fad%2Ffxd3qnm_processed.png&w=3840&q=75)
Transcribed Image Text:(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a?
O At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.
O At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
(e) Interpret your conclusion in the context of the application.
O Reject the null hypothesis, there is sufficient evidence that the mean percentage of young adults who attend college is higher.
O Reject the null hypothesis, there is insufficient evidence that the mean percentage of young adults who attend college is higher.
O Fail to reject the null hypothesis, there is insufficient evidence that the mean percentage of young adults who attend college is higher.
O Fail to reject the null hypothesis, there is sufficient evidence that the mean percentage
young adults who attend college is higher.
![Education influences attitude and lifestyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and
older were taken in n, = 37 U.S. cities. The sample mean for these cities showed that x, = 15.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken
in n2 = 38 U.S. cities. The sample mean for these cities showed that x2 = 17.7% of the young adults had attended college. From previous studies, it is known that o, = 6.6% and ag = 4.6%. Does
this information indicate that the population mean percentage of young adults who attended college is higher? Use a = 0.05.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8619578c-37b5-4fb0-aae6-ee38ee9fdc66%2Fe9b4f9b9-541c-443e-936a-b110b5709fad%2Ff50leb_processed.png&w=3840&q=75)
Transcribed Image Text:Education influences attitude and lifestyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and
older were taken in n, = 37 U.S. cities. The sample mean for these cities showed that x, = 15.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken
in n2 = 38 U.S. cities. The sample mean for these cities showed that x2 = 17.7% of the young adults had attended college. From previous studies, it is known that o, = 6.6% and ag = 4.6%. Does
this information indicate that the population mean percentage of young adults who attended college is higher? Use a = 0.05.
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