I can't see photo so pls put one
Answer:
The standard error for the distribution of exam grades is 1.482.
Step-by-step explanation:
The data provided is attached below.
Steps to compute the standard error of exam grades in SPSS are as follows:
Step 1:
Enter the data in a SPSS sheet
Step 2:
Go to Analyze → Descriptive Statistics → Descriptives...
A dialog box will open.
Step 3:
Move Score to the box labelled as "Variable(s)"
Step 4:
Go to options.
A dialog box will open.
Step 5:
Select all the statistics value required. Press OK.
Step 6:
Press OK.
The SPSS output is attached below.
The standard error for the distribution of exam grades is 1.482.
-8 x 217 = 1728
I believe this is correct
Answer:
240 units I think
Step-by-step explanation
20 by 2 equal 10 you now know the triangle length
then 4 X 10 equal 40 by 2 equal 20 by 2 equal 40. area of both triangles
20 X 10 equal 200 length of rectangle add both and equal 240.
Answer:
A)Predicted value = 103.5
B)Actual value = 102
C)So, these are not same
Step-by-step explanation:
The researcher used the line
to model the data.
A)When the researcher substituted the value of x = 65 into this equation, what is the resulting y value?
Substitute value x=65 in equation :
y = -0.1 x +110
y=-0.1(65)+110
y=103.5
Predicted value = 103.5
B)Based on the coordinates of the given data points, what is the actual actual vision score when x=65?
Use the given graph
When x = 65
y = 102
So, The actual actual vision score when x=65 is 102
C)When the researcher substituted x = 65 into the line of equation, is the resulting y value the predicted value or the exit value for the vision score of a 65-year-old? Use your results for parts a and b to answer this question.
Predicted value = 103.5
Actual value = 102
So, these are not same