9.73 Statistics on Large Sample Tests of Hypotheses?

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SUMMARY

The discussion focuses on hypothesis testing for SAT scores of California students in the class of 2003 compared to national averages. The relevant data includes a sample size of 100 students, with a verbal score average of 499 and a national average of 507, along with a standard deviation of 98. The correct z-score calculation for the verbal score is derived using the formula z = (sample mean - population mean) / (standard deviation / sqrt(n)), resulting in a z-score of -3.33, indicating a significant difference at alpha = 0.05. The math score analysis shows no significant difference, with a z-score of 1.

PREREQUISITES
  • Understanding of hypothesis testing and significance levels (alpha = 0.05)
  • Familiarity with z-score calculations in statistics
  • Knowledge of standard deviation and standard error concepts
  • Ability to interpret SAT score data and its implications
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  • Study the calculation of z-scores in hypothesis testing
  • Learn about standard error and its role in statistical analysis
  • Explore the implications of alpha levels in hypothesis testing
  • Investigate the differences between one-sample and two-sample z-tests
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Students, educators, and statisticians interested in understanding hypothesis testing, particularly in the context of educational assessments and SAT score comparisons.

Little Bear
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Homework Statement


a. Do the data provide sufficient evidence to indicate that the average verbal score for all California students in the class of 2003 is different from the national average? Test using alpha = .05.
b. Do the data provide sufficient evidence to indicate that the average math score for all California students in the class of 2003 is different from the national average? Test using alpha = .05.
c. Could you use this data to determine if there is a difference between the average math and verbal scores for all California
students in the class of 2003? Explain your answer.

Homework Equations


Relevant DATA:
n = 100 (California students sampled)
national average scores for verbal = 507
sample California average for verbal = 499
standard dev California for verbal = 98

Relevant EQUATION:
z = [sample California average - mean National]
[standard dev Californial for verbal/sqrt(n)]

The Attempt at a Solution


z = [499 - 507]/[98(sqrt(100))]
= -8/9.8
= - 0.816

This answer for part a. is wrong.

Answers at the back of the book:
a. yes; z = -3.33 b. no; z = 1 c. no

I am stuck at part a. My wrong answer is z = -0.816. Please show me how step-by-step to derive at the correct answer. Thank you very much.
 
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I'm confused. You say "My wrong answer is z = -0.816" but none of these questions asks for a value of z! What have you done to answer a?

In any case, I will point out that 98\sqrt{100}= 980, not 9.8. The correct z-score is much less than -0.816. (That's assuming that your figure of 100 for the standard deviation is correct. It seems awfully high for average scores around 500. It would pretty much mean that the test is meaningless!)
 
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Little Bear said:

Homework Statement


(I forgot to write out the problem statement too!)
How do California H.S. students compare to students nationwide in their college readiness, as measured by their SAT scores? The national average scores for the class of 2003 were 507 on the verbal portion and 519 on the math portion. Suppose that 100 California students from the class of 2003 were randomly selected and their SAT scores recorded as:

Verbal: Sample average = 499, Sample standard dev = 98

Math: Sample average = 516, Sample standard dev = 96




a. Do the data provide sufficient evidence to indicate that the average verbal score for all California students in the class of 2003 different from the national average? Test using alpha = .05.is different from the national average? Test using alpha = .05.
b. Do the data provide sufficient evidence to indicate that the average math score for all California students in the class of 2003 is different from the national average? Test using alpha = .05.

c. Could you use this data to determine if there is a difference between the average math and verbal scores for all California
students in the class of 2003? Explain your answer.


Homework Equations


Relevant DATA:
n = 100 (California students sampled)
national average scores for verbal = 507
sample California average for verbal = 499
standard dev California for verbal = 98

Relevant EQUATION:

SE = standard dev/sqrt(n)
z = [sample California average - mean National]
[standard dev Californial for verbal/sqrt(n)]
OR
z = [sample California average - mean National]/ SE




The Attempt at a Solution


z = [499 - 507]/[98(sqrt(100))]
I forgot the the "/" between 98 and sqrt(100)
For the denominator of z is actually standard error = standard dev/n
Since, standard dev of california sample for verbal test = 98 and n = 100 samples
SE = standard dev/sqrt(n) = 98/sqrt(100) = 9.8
Thus z = [mean of sample California - mean of National (Popn)]/SE
= [499-507]/9.8
= -8/9.8
= - 0.816

This answer for part a. is wrong.

Answers at the back of the book:
a. yes; z = -3.33 b. no; z = 1 c. no
I am stuck at part a. My wrong answer is z = -0.816. The back of the book says -3.33. Please show me how step-by-step to derive at the correct answer. Thank you very much.

I forgot the slash between 98 and sqrt(100)!. It was my typo. Sorry.
Still I get the same answer of z = -0.816 instead of -3.33. I am only concerned about getting the z value because how can I answer yes or no, without knowing it.
Also, it is asking for us to test using alpha = .05. Z-test is the only test that seems to apply here since we were are comparing a sample (California) from a population (National).
I also forgot to write the problem statement. I didn't notice it was omitted. See above in red.
 
Last edited:

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