The statistical software output for this problem is:
Hence,
a) Right Tailed Test
b) Test statistic = 2.19
c) P - value = 0.0183
d) Fail to Reject Ho
e) Option B is correct.
AM -VS-PM Height (Raw Data, Software Required): It is widely accepted that people are a little...
PLEASE HELP AM -vs- PM Height (Raw Data, Software Required): It is widely accepted that people are a little taller in the morning than at night. Here we perform a test on how big the difference is. In a sample of 30 adults, the morning height and evening height are given in millimeters (mm) in the table below. Use this data to test the claim that, on average, people are more than 10 mm taller in the morning than at...
It is widely accepted that people are a little taller in the morning than at night. Here we perform a test on how big the difference is. In a sample of 30 adults, the morning height and evening height are given in millimeters (mm) in the table below. Use this data to test the claim that, on average, people are more than 10 mm taller in the morning than at night. Test this claim at the 0.01significance level. (a) The...
It is widely accepted that people are a little taller in the morning than at night. Here we perform a test on how big the difference is. In a sample of 32 adults, the mean difference between morning height and evening height was 5.5 millimeters (mm) with a standard deviation of 1.8 mm. Test the claim that, on average, people are more than 5 mm taller in the morning than at night. Test this claim at the 0.01 significance level....
AM -vs- PM Height (Raw Data, Software Required): We want to test the claim that people are taller in the morning than in the evening. Morning height and evening height were measured for 30 randomly selected adults and the difference (morning height) − (evening height) for each adult was recorded in the table below. Use this data to test the claim that on average people are taller in the morning than in the evening. Test this claim at the 0.10...
AM -vs- PM Height: We want to test the claim that people are taller in the morning than in the evening. Morning height and evening height were measured for 30 randomly selected adults and the difference (morning height) − (evening height) for each adult was recorded. The mean difference was 0.21 cm with a standard deviation of 0.39 cm. Use this information to test the claim that on average people are taller in the morning than in the evening. Test...
AM -vs- PM Height: We want to test the claim that people are taller in the morning than in the evening. Morning height and evening height were measured for 32 randomly selected adults and the difference (morning height) − (evening height) for each adult was recorded. The mean difference was 0.21 cm with a standard deviation of 0.40 cm. Use this information to test the claim that on average people are taller in the morning than in the evening. Test...
8. AM -vs- PM sections of Stats - Significance test (Raw Data, Software Required): There are two sections of statistics, one in the afternoon (PM) with 30 students and one in the morning (AM) with 22 students. Each section takes the identical test. The PM section, on average, scored higher than the AM section. The scores from each section are given in the table below. Test the claim that the PM section did significantly better than the AM section, i.e.,...
Foot-Length (Raw Data, Software Required): It has been claimed that, on average, right-handed people have a left foot that is larger than the right foot. Here we test this claim on a sample of 10 right-handed adults. The table below gives the left and right foot measurements in millimeters (mm). Test the claim at the 0.01 significance level. You may assume the sample of differences comes from a normally distributed population. Person Left Foot (x) Right Foot (y) 1 269...
Sleep (Raw Data, Software Required): Assume the general population gets an average of 7 hours of sleep per night. You randomly select 35 college students and survey them on the number of hours of sleep they get per night. The data is found in the table below. You claim that college students get less sleep than the general population. That is, you claim the mean number of hours of sleep for all college students is less than 7 hours. Test...
Math & Music (Raw Data, Software Required): There is a lot of interest in the relationship between studying music and studying math. We will look at some sample data that investigates this relationship. Below are the Math SAT scores from 8 students who studied music through high school and 11 students who did not. Test the claim that students who study music in high school have a higher average Math SAT score than those who do not. Test this claim...