To test against
Here
sample mean of difference
sample standard deviation of difference
and sample size
The test statistic can be written as
which under H0 follows a t distribution with n-1 df.
We reject H0 at 1% level of significance if p-value < 0.01
Now,
The value of the test statistic =
and p-value
Since p-value > 0.01, so we fail to reject H0 at 1% level of significance. There is not sufficient evidence to conclude that sons are the same height as their fathers at the 0.01 level of significance.
Are taller than their tathers, a student randomly selects 13 fathers who have adult male children...
To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the alphaαequals=0.050.05 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. LOADING... Click the icon to view the table...
To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the a = 0.05 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click the icon to view the...
To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the α=0.10 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Height of Father Height of Son 71.5 ...
To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the a= 0.01 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click here to view the table of...
to test the believe that songs are taller than their fathers a student randomly selects 13 fathers who have adult male children she records the height of both the father and son in inches and obtains the following data are sons taller than their fathers? use a=.10 level of significance Note: normal probability plot in box plot of the data indicate that the difference are approximately normally distributed with no outliers To test the belief that sons are taller than...
To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the a=0.01 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click here to view the table of data....
9. To test the belief that sons are taller than their fathers, a student randomly selects I3 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data: Height of father, X 70.3 67.1 709 66.8 Height of son, Y 74.1 69.2 669 692 689 70.2 70.4 728 70.4 71.8 一81-9 | 10 | 11 | 12 | 13 Height of father, 70.1 69.9 70.8 70.2 704 724...
i need the last question. Question Help To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the x = 0.05 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no...
A researcher randomly selects 6 fathers who have adult sons and records the fathers' and sons' heights to obtain the data shown in the table below. Test the claim that sons are taller than their fathers at the alpha equals 0.10α=0.10 level of significance. The normal probability plot and boxplot indicate that the differences are approximately normally distributed with no outliers so the use of a paired t-test is reasonable. Observation 1 2 3 4 5 6 Height of father...
To test the belief that sons are taller than their fathers, a student ran- domly selects 13 fathers who have adult male children. She records the height (in inches) of both the father and the son in the following table. Are sons taller than their fathers? NOTE: A normal probability plot indicated that the differences (X -Y) are approximately normally distributed with no outliers. 70.4 71.8 70.1 70.2 70.4 69.3 eight of Father, Y eight of Son, X eight of...