The "Freshman 15" refers to the belief that college students gain 15 lb (or 6.8 kg) during their freshman year. Listed in the accompanying table are weights (kg) of randomly selected male college freshmen. The weights were measured in September and later in April. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Complete parts (a) through (c). September April 73 75 57 54 65 92 56 55 53 75 82 58 56 71 92 58 60 52 a. Use a 0.05 significance level to test the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April. In this example, " is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the Aprill weight minus the September weight. What are the null and alternative hypotheses for the hypothesis test? Ho: Hakg H₁: Hakg (Type integers or decimals. Do not round.) Identify the test statistic. c. What do you conclude about the Freshman 15 belief? The test does not address the specific weight gain of 15 lb, but it does suggest that there is t= (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is the significance level, the null hypothesis. There sufficient evidence to support the claim that for the population f freshman male college students, the weights in September are less than the weights in the following April b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The confidence interval is kg

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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September    April
73    75
75    82
57    58
54    56
65    71
92    92
56    58
55    60
53    52

The "Freshman 15" refers to the belief that college students gain 15 lb (or 6.8 kg) during their freshman year. Listed in the accompanying
table are weights (kg) of randomly selected male college freshmen. The weights were measured in September and later in April. Use the
listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is
approximately normal. Complete parts (a) through (c).
C
Ho: Hd ▼
kg
H₁: Hd
kg
(Type integers or decimals. Do not round.)
Identify the test statistic.
September
April
73 75 57 54 65 92 56 55 53
75 82 58 56 71 92 58 60 52
a. Use a 0.05 significance level to test the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April.
In this example, " is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the April weight minus the September weight. What are the null and alternative hypotheses for the hypothesis test?
t = (Round to two decimal places as needed.)
Identify the P-value.
P-value= (Round to three decimal places as needed.)
What is the conclusion based on the hypothesis test?
Since the P-value is
the significance level,
the null hypothesis. There
sufficient evidence to support the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April.
b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)?
The confidence interval is kg < d < kg.
(Type integers or decimals rounded to one decimal place as needed.)
What feature of the confidence interval leads to the same conclusion reached in part (a)?
Because the confidence interval includes
Ho
c. What do you conclude about the Freshman 15 belief?
The test does not address the specific weight gain of 15 lb, but it does suggest that there is
evidence to conclude that males gain weight during their freshman year. The confidence interval
a weight gain of 6.8 kg.
Transcribed Image Text:The "Freshman 15" refers to the belief that college students gain 15 lb (or 6.8 kg) during their freshman year. Listed in the accompanying table are weights (kg) of randomly selected male college freshmen. The weights were measured in September and later in April. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Complete parts (a) through (c). C Ho: Hd ▼ kg H₁: Hd kg (Type integers or decimals. Do not round.) Identify the test statistic. September April 73 75 57 54 65 92 56 55 53 75 82 58 56 71 92 58 60 52 a. Use a 0.05 significance level to test the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April. In this example, " is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the April weight minus the September weight. What are the null and alternative hypotheses for the hypothesis test? t = (Round to two decimal places as needed.) Identify the P-value. P-value= (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is the significance level, the null hypothesis. There sufficient evidence to support the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April. b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The confidence interval is kg < d < kg. (Type integers or decimals rounded to one decimal place as needed.) What feature of the confidence interval leads to the same conclusion reached in part (a)? Because the confidence interval includes Ho c. What do you conclude about the Freshman 15 belief? The test does not address the specific weight gain of 15 lb, but it does suggest that there is evidence to conclude that males gain weight during their freshman year. The confidence interval a weight gain of 6.8 kg.
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