Every year, all incoming high school freshmen in a large school district take a math placement test. For this year's test, the district has prepared two possible versions: Version 1 that covers more material than last year's test and Version 2 test that is similar to last year's test. The district suspects that the mean score for Version 1 will be less than the mean score for Version 2. To examine this, over the summer the district randomly selects 50 incoming freshmen to come to its offices to take Version 1, and it randomly selects 80 incoming freshmen to come take Version 2. The 50 incoming freshmen taking Version 1 score a mean of 112.8 points with a standard deviation of 16.2. The 80 incoming freshmen taking Version 2 score a mean of 117.2 points with a standard deviation of 18.5. Assume that the population standard deviations of the test scores from the two versions can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the mean test score, H₁, for Version 1 is less than the mean test score, μ₂, for Version 2? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H₁. Ho :O H₁ :0 (b) Determine the type of test statistic to use. F Degrees of freedom: dfn: dfd: (c) Find the value of the test statistic. (Round to three more decimal places.) 0 H |x a X S ộ 00 Р 0=0 OSO 020 010 0*0 0<0 >O S
Every year, all incoming high school freshmen in a large school district take a math placement test. For this year's test, the district has prepared two possible versions: Version 1 that covers more material than last year's test and Version 2 test that is similar to last year's test. The district suspects that the mean score for Version 1 will be less than the mean score for Version 2. To examine this, over the summer the district randomly selects 50 incoming freshmen to come to its offices to take Version 1, and it randomly selects 80 incoming freshmen to come take Version 2. The 50 incoming freshmen taking Version 1 score a mean of 112.8 points with a standard deviation of 16.2. The 80 incoming freshmen taking Version 2 score a mean of 117.2 points with a standard deviation of 18.5. Assume that the population standard deviations of the test scores from the two versions can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the mean test score, H₁, for Version 1 is less than the mean test score, μ₂, for Version 2? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H₁. Ho :O H₁ :0 (b) Determine the type of test statistic to use. F Degrees of freedom: dfn: dfd: (c) Find the value of the test statistic. (Round to three more decimal places.) 0 H |x a X S ộ 00 Р 0=0 OSO 020 010 0*0 0<0 >O S
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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Transcribed Image Text:Every year, all incoming high school freshmen in a large school district take a math placement test. For this year's test, the district has prepared two possible
versions: Version 1 that covers more material than last year's test and Version 2 test that is similar to last year's test. The district suspects that the mean score
for Version 1 will be less than the mean score for Version 2. To examine this, over the summer the district randomly selects 50 incoming freshmen to come to its
offices to take Version 1, and it randomly selects 80 incoming freshmen to come take Version 2. The 50 incoming freshmen taking Version 1 score a mean of
112.8 points with a standard deviation of 16.2. The 80 incoming freshmen taking Version 2 score a mean of 117.2 points with a standard deviation of 18.5.
Assume that the population standard deviations of the test scores from the two versions can be estimated to be the sample standard deviations, since the
samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the mean test
score, H₁, for Version 1 is less than the mean test score, H₂, for Version 2? Perform a one-tailed test. Then complete the parts below.
Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.)
(a) State the null hypothesis Ho and the alternative hypothesis H₁.
Ho :O
H₁:0
(b) Determine the type of test statistic to use.
F
Degrees of freedom: dfn: dfd:
(c) Find the value of the test statistic. (Round to three or more ecimal place
0
(d) Find the critical value at the 0.05 level of significance. (Round to three or more decimal places.)
0
(e) Can we support the claim that the mean test score for Version 1 is less than the mean test
score of Version 2?
Yes No
μ
|x
4
0#0
X
O
S
Do
O<O
P
3
ê
OSO 020
00
>O
E
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