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The mean SAT score in mathematics is 548. The standard deviation of these scores is 27. A special preparation course claims that the mean SAT score, µ, of its graduates is greater than 548. An independent researcher tests this by taking a random sample of 60 students who completed the course; the mean SAT score in mathematics for the sample was 558. At the 0.10 level of significance, can we conclude that the population mean SAT score for graduates of the course is greater than 548? Assume that the population standard deviation of the scores of course graduates is also 27. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.) (a) State the null hypothesis $H_0$, and the alternative hypothesis $H_1$. $H_0$: $H_1$: (b) Determine the type of test statistic to use. (Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the $p$-value. (Round to three or more decimal places.) (e) Can we support the preparation course's claim that the population mean SAT score of its graduates is greater than 548? Yes No

          The mean SAT score in mathematics is 548. The standard deviation of these scores is 27. A special preparation course claims that the mean SAT score, µ, of its
graduates is greater than 548. An independent researcher tests this by taking a random sample of 60 students who completed the course; the mean SAT score
in mathematics for the sample was 558. At the 0.10 level of significance, can we conclude that the population mean SAT score for graduates of the course is
greater than 548? Assume that the population standard deviation of the scores of course graduates is also 27.
Perform a one-tailed test. Then complete the parts below.
Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.)
(a) State the null hypothesis $H_0$, and the alternative hypothesis $H_1$.
$H_0$:
$H_1$:
(b) Determine the type of test statistic to use.
(Choose one)
(c) Find the value of the test statistic. (Round to three or more decimal places.)
(d) Find the $p$-value. (Round to three or more decimal places.)
(e) Can we support the preparation course's claim that the population mean SAT
score of its graduates is greater than 548?
Yes No
        
Show more…
The mean SAT score in mathematics is 548. The standard deviation of these scores is 27. A special preparation course claims that the mean SAT score, µ, of its
graduates is greater than 548. An independent researcher tests this by taking a random sample of 60 students who completed the course; the mean SAT score
in mathematics for the sample was 558. At the 0.10 level of significance, can we conclude that the population mean SAT score for graduates of the course is
greater than 548? Assume that the population standard deviation of the scores of course graduates is also 27.
Perform a one-tailed test. Then complete the parts below.
Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.)
(a) State the null hypothesis H0, and the alternative hypothesis H1.
H0:
H1:
(b) Determine the type of test statistic to use.
(Choose one)
(c) Find the value of the test statistic. (Round to three or more decimal places.)
(d) Find the p-value. (Round to three or more decimal places.)
(e) Can we support the preparation course's claim that the population mean SAT
score of its graduates is greater than 548?
Yes No

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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Graduates is greater than 548. An independent researcher tests this by taking a random sample of 60 students who completed the course: the mean SAT score in mathematics for the sample was 558. At the 0.10 level of significance, can we conclude that the population mean SAT score for graduates of the course is greater than 548? Assume that the population standard deviation of the scores of course graduates is also 27. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. If necessary, consult a lit Afomulns. State the null hypothesis H and the alternative hypothesis H: H0: μ ≤ 548 Ha: μ > 548 Determine the type of test statistic to use: Z-test Find the value of the test statistic. (Round to three or more decimal places.) Find the p-value. (Round to three or more decimal places.) Can we support the preparation course's claim that the population mean SAT score of its graduates is greater than 548? Yes No
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The mean SAT score in mathematics, μ, is 592. The standard deviation of these scores is 28. A special preparation course claims that its graduates will score higher, on average, than the mean score 592. A random sample of 70 students completed the course, and their mean SAT score in mathematics was 601. At the 0.1 level of significance, can we conclude that the preparation course does what it claims? Assume that the standard deviation of the scores of course graduates is also 28. Perform a one-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places, and round your responses as specified in the table. The null hypothesis: The alternative hypothesis: The type of test statistic: The value of the test statistic: (Round to at least three decimal places.) The critical value at the 0.1 level of significance: (Round to at least three decimal places.) Can we support the preparation course's claim that its graduates score higher in SAT?

Madhur L.

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Qudsiya A.

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Ajiboye T.


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Transcript

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00:01 Hello students, given mean mu is equal to 592, standard deviation sigma is equal to 28, sample size n is equal to 70 and sample mean x bar is equal to 601.
00:22 Then hypothesis we are going to test is null hypothesis h0 mu equal to 592 versus alternative hypothesis ha mu greater than 592.
00:41 So it is a right tailed test.
00:48 Then given level of significance alpha is equal to 0 .10, the type of test statistic is z test since population standard deviation is null.
01:13 So z is equal to x bar minus mu divided by sigma divided by square root of n that is equal to 601 minus 592 divided by 28 divided by square root of 70 which is equal to 2 .689...
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