A class survey in a large class for first‑year college students asked, “About how many hours do you study during a typical week?” The mean response of the 463 students was x¯=13.7 hours. Suppose that we know that the study time follows a Normal distribution with standard deviation σ=7.4 hours in the population of all first‑year students at this university. Regard these students as an SRS from the population of all first‑year students at this university. Does the study give good evidence that students claim to study more than 13 hours per week on the average? You may find Table A helpful. (a) State null and alternative hypotheses in terms of the mean study time in hours for the population. A) H0:μ=13 hours ; Ha:μ≠13 hours B) H0:μ=13 hours ; Ha:μ>13 hours C) H0:μ=13 hours ; Ha:μ=13 hours D) H0:μ=13 hours ; Ha:μ<13 hours
A class survey in a large class for first‑year college students asked, “About how many hours do you study during a typical week?” The mean response of the 463 students was x¯=13.7 hours. Suppose that we know that the study time follows a Normal distribution with standard deviation σ=7.4 hours in the population of all first‑year students at this university. Regard these students as an SRS from the population of all first‑year students at this university. Does the study give good evidence that students claim to study more than 13 hours per week on the average? You may find Table A helpful. (a) State null and alternative hypotheses in terms of the mean study time in hours for the population. A) H0:μ=13 hours ; Ha:μ≠13 hours B) H0:μ=13 hours ; Ha:μ>13 hours C) H0:μ=13 hours ; Ha:μ=13 hours D) H0:μ=13 hours ; Ha:μ<13 hours
A class survey in a large class for first‑year college students asked, “About how many hours do you study during a typical week?” The mean response of the 463 students was x¯=13.7 hours. Suppose that we know that the study time follows a Normal distribution with standard deviation σ=7.4 hours in the population of all first‑year students at this university. Regard these students as an SRS from the population of all first‑year students at this university. Does the study give good evidence that students claim to study more than 13 hours per week on the average? You may find Table A helpful. (a) State null and alternative hypotheses in terms of the mean study time in hours for the population. A) H0:μ=13 hours ; Ha:μ≠13 hours B) H0:μ=13 hours ; Ha:μ>13 hours C) H0:μ=13 hours ; Ha:μ=13 hours D) H0:μ=13 hours ; Ha:μ<13 hours
A class survey in a large class for first‑year college students asked, “About how many hours do you study during a typical week?” The mean response of the 463 students was x¯=13.7 hours. Suppose that we know that the study time follows a Normal distribution with standard deviation σ=7.4 hours in the population of all first‑year students at this university.
Regard these students as an SRS from the population of all first‑year students at this university. Does the study give good evidence that students claim to study more than 13 hours per week on the average?
You may find Table A helpful.
(a) State null and alternative hypotheses in terms of the mean study time in hours for the population.
A) H0:μ=13 hours ; Ha:μ≠13 hours
B) H0:μ=13 hours ; Ha:μ>13 hours
C) H0:μ=13 hours ; Ha:μ=13 hours
D) H0:μ=13 hours ; Ha:μ<13 hours
(b) What is the value of the test statistic z ? (Enter your answer rounded to two decimal places.)
z=
(c) What is the P ‑value of the test?
A) larger than 0.05
B) between 0.020 and 0.030
C) between 0.001 and 0.005
D) less than 0.0001
Can you conclude that students do claim to study more than 13 hours per week on average?
A) Yes, the large P ‑value is strong evidence that students do claim to study more than 13 hours per week on average.
B) Yes, the small P ‑value is strong evidence that students do claim to study more than 13 hours per week on average.
C) No, the large P ‑value is strong evidence that students do not claim to study more than 13 hours per week on average.
D) No, the small P ‑value is strong evidence that students do not claim to study more than 13 hours per week on average.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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