Answer:
The value of test statistics is 25.
Step-by-step explanation:
We are given below the SAT reading and writing section scores of a random sample of twenty 11th-grade students in a certain high school;
380, 520, 480, 510, 560, 630, 670, 490, 500, 550, 400, 350, 440, 490, 620, 660, 700, 730, 740, 560
<em>Let </em>
<em> = population standard of the reading and writing section SAT score of the students in this school</em>
So, Null Hypothesis,
:
100 {means that the reading and writing section SAT score of the students in this school is lesser than or equal to 100}
Alternate Hypothesis,
:
<em> </em>> 100 {means that the reading and writing section SAT score of the students in this school is higher than 100}
The test statistics that would be used here is <u>One-sample Chi-square</u> test statistics;
T.S. =
~
where,
= sample variance =
= 13135.8
n = sample of 11th-grade students = 20
So, <u><em>the test statistics</em></u> = ![\frac{(20-1)\times 13135.8^{2} }{100^{2} }](https://tex.z-dn.net/?f=%5Cfrac%7B%2820-1%29%5Ctimes%2013135.8%5E%7B2%7D%20%7D%7B100%5E%7B2%7D%20%7D)
= 24.96 ≈ 25
Hence, the value of test statistics is 25.