rofessional baseball players gave the following information. lable that represents the percentage of strikeouts of a pr 0.334 0.286 0.340 4.0 0.248 0.367 0.269 3.4 7.4 8.6 3.1 11.1 (a) Verify that Ex = 1.844, Ey = 37.6, Ex - 0.577506, Ey? - 289.1, Exy = 10.8684, and r= -0.905. %3! Ex Ey Exy (b) Use a 5% level of significance to test the claim that p+ 0. (Use 2 decimal places.) critical t + Conclusion Reject the null hypothesis, there is sufficient evidence that p differs from 0. Reject the null hypothesis, there is insufficient evidence that p differs from 0. O Fail to reject the null hypothesis, there is insufficient evidence that p differs from 0. O Fail to reject the null hypothesis, there is sufficient evidence that p differs from 0. (c) Verify that S,= 1.5542, a = 25.856, and b = -63.740. Se a b.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Let x be a random variable that represents the batting average of a professional baseball player. Let y be a random variable that represents the percentage of strikeouts of a professional baseball player. A random sample of n = 6
professional baseball players gave the following information.
0.334
0.286
0.340
0.248
0.367
0.269
3.4
7.4
4.0
8.6
3.1
11.1
(a) Verify that Ex = 1.844, Ey = 37.6, Ex = 0.577506, Ey = 289.1, Exy = 10.8684, and r= -0.905.
Σχ
%D
%3D
Ey
Ex2
Ey?
Σχy
r
(b) Use a 5% level of significance to test the claim thatp # 0. (Use 2 decimal places.)
critical t +
Conclusion
Reject the null hypothesis, there is sufficient evidence that p differs from 0.
O Reject the null hypothesis, there is insufficient evidence that p differs from 0.
O Fail to reject the null hypothesis, there is insufficient evidence that p differs from 0.
O Fail to reject the null hypothesis, there is sufficient evidence that p differs from 0.
(c) Verify that S 1.5542, a - 25.856, and b -63.740.
e
S.
e
a
(d) Find the predicted percentage ŷ of strikeouts for a player with an x = 0.33 batting average. (Use 2 decimal places.)
(e) Find a 99% confidence interval for y when x =
0.33. (Use 2 decimal places.)
lower limit
%
upper limit
(f) Use a 5% level of significance to test the claim that ß # 0. (Use 2 decimal places.)
critical t +
Conclusion
Reject the null hypothesis, there is sufficient evidence that B differs from 0.
Transcribed Image Text:Let x be a random variable that represents the batting average of a professional baseball player. Let y be a random variable that represents the percentage of strikeouts of a professional baseball player. A random sample of n = 6 professional baseball players gave the following information. 0.334 0.286 0.340 0.248 0.367 0.269 3.4 7.4 4.0 8.6 3.1 11.1 (a) Verify that Ex = 1.844, Ey = 37.6, Ex = 0.577506, Ey = 289.1, Exy = 10.8684, and r= -0.905. Σχ %D %3D Ey Ex2 Ey? Σχy r (b) Use a 5% level of significance to test the claim thatp # 0. (Use 2 decimal places.) critical t + Conclusion Reject the null hypothesis, there is sufficient evidence that p differs from 0. O Reject the null hypothesis, there is insufficient evidence that p differs from 0. O Fail to reject the null hypothesis, there is insufficient evidence that p differs from 0. O Fail to reject the null hypothesis, there is sufficient evidence that p differs from 0. (c) Verify that S 1.5542, a - 25.856, and b -63.740. e S. e a (d) Find the predicted percentage ŷ of strikeouts for a player with an x = 0.33 batting average. (Use 2 decimal places.) (e) Find a 99% confidence interval for y when x = 0.33. (Use 2 decimal places.) lower limit % upper limit (f) Use a 5% level of significance to test the claim that ß # 0. (Use 2 decimal places.) critical t + Conclusion Reject the null hypothesis, there is sufficient evidence that B differs from 0.
from 0.
(c) Verify that S 1.5542, a 25.856, and b -63.740.
e
Se
a
(d) Find the predicted percentage ŷ of strikeouts for a player with an x = 0.33 batting average. (Use 2 decimal places.)
(e) Find a 99% confidence interval for y when x = 0.33. (Use 2 decimal places.)
lower limit
upper limit
%
(f) Use a 5% level of significance to test the claim that ß # 0. (Use 2 decimal places.)
critical t +
Conclusion
Reject the null hypothesis, there is sufficient evidence that B differs from 0.
Reject the null hypothesis, there is insufficient evidence that B differs from 0.
Fail to reject the null hypothesis, there is insufficient evidence that ß differs from 0.
Fail to reject the null hypothesis, there is sufficient evidence that ß differs from 0.
(g) Find a 99% confidence interval for B and interpret its meaning. (Use 2 decimal places.)
lower limit
upper limit
Interpretation
For every unit increase in batting average, the percentage strikeouts increases by an amount that falls outside the confidence interval.
For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls outside the confidence interval.
For every unit increase in batting average, the percentage strikeouts increases by an amount that falls within the confidence interval.
For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls within the confidence interval.
Transcribed Image Text:from 0. (c) Verify that S 1.5542, a 25.856, and b -63.740. e Se a (d) Find the predicted percentage ŷ of strikeouts for a player with an x = 0.33 batting average. (Use 2 decimal places.) (e) Find a 99% confidence interval for y when x = 0.33. (Use 2 decimal places.) lower limit upper limit % (f) Use a 5% level of significance to test the claim that ß # 0. (Use 2 decimal places.) critical t + Conclusion Reject the null hypothesis, there is sufficient evidence that B differs from 0. Reject the null hypothesis, there is insufficient evidence that B differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that ß differs from 0. Fail to reject the null hypothesis, there is sufficient evidence that ß differs from 0. (g) Find a 99% confidence interval for B and interpret its meaning. (Use 2 decimal places.) lower limit upper limit Interpretation For every unit increase in batting average, the percentage strikeouts increases by an amount that falls outside the confidence interval. For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls outside the confidence interval. For every unit increase in batting average, the percentage strikeouts increases by an amount that falls within the confidence interval. For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls within the confidence interval.
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