A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for
a sample of 10 salespersons. Salesperson Years of Experience Annual Sales ($1000s) 1 1 80 2 3 97 3 4 92 4 4 102 5 6 103 6 8 111 7 10 119 8 10 123 9 11 117 10 13 136(a) Write an alternative hypothesis.(b). Develop an estimated regression equation that can be used to predict annual sales given the years of experience.(c) Use the estimated regression equation to predict annual sales tor a salesperson with 9 years of experience.
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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> =
= 24.96 ≈ 25
Hence, the value of test statistics is 25.
