A CI is desired for the true average stray-load loss ? (watts) for a certain type of induction motor when the line current is held at 10 amps for a speed of 1500 rpm. Assume that stray-load loss is normally distributed with ? = 2.2. (Round your answers to two decimal places.) (a) Compute a 95% CI for ? when n = 25 and x = 53.7. , watts (b) Compute a 95% CI for ? when n = 100 and x = 53.7. , watts (c) Compute a 99% CI for ? when n = 100 and x = 53.7. , watts (d) Compute an 82% CI for ? when n = 100 and x = 53.7. , watts (e) How large must n be if the width of the 99% interval for ? is to be 1.0? (Round your answer up to the nearest whole number.) n = You may need to use the appropriate table in the Appendix of Tables to answer this question.
A CI is desired for the true average stray-load loss ? (watts) for a certain type of induction motor when the line current is held at 10 amps for a speed of 1500 rpm. Assume that stray-load loss is normally distributed with ? = 2.2. (Round your answers to two decimal places.) (a) Compute a 95% CI for ? when n = 25 and x = 53.7. , watts (b) Compute a 95% CI for ? when n = 100 and x = 53.7. , watts (c) Compute a 99% CI for ? when n = 100 and x = 53.7. , watts (d) Compute an 82% CI for ? when n = 100 and x = 53.7. , watts (e) How large must n be if the width of the 99% interval for ? is to be 1.0? (Round your answer up to the nearest whole number.) n = You may need to use the appropriate table in the Appendix of Tables to answer this question.
A CI is desired for the true average stray-load loss ? (watts) for a certain type of induction motor when the line current is held at 10 amps for a speed of 1500 rpm. Assume that stray-load loss is normally distributed with ? = 2.2. (Round your answers to two decimal places.) (a) Compute a 95% CI for ? when n = 25 and x = 53.7. , watts (b) Compute a 95% CI for ? when n = 100 and x = 53.7. , watts (c) Compute a 99% CI for ? when n = 100 and x = 53.7. , watts (d) Compute an 82% CI for ? when n = 100 and x = 53.7. , watts (e) How large must n be if the width of the 99% interval for ? is to be 1.0? (Round your answer up to the nearest whole number.) n = You may need to use the appropriate table in the Appendix of Tables to answer this question.
A CI is desired for the true average stray-load loss ? (watts) for a certain type of induction motor when the line current is held at 10 amps for a speed of 1500 rpm. Assume that stray-load loss is normally distributed with ? = 2.2. (Round your answers to two decimal places.)
(a) Compute a 95% CI for ? when n = 25 and x = 53.7.
,
watts
(b) Compute a 95% CI for ? when n = 100 and x = 53.7.
,
watts
(c) Compute a 99% CI for ? when n = 100 and x = 53.7.
,
watts
(d) Compute an 82% CI for ? when n = 100 and x = 53.7.
,
watts
(e) How large must n be if the width of the 99% interval for ? is to be 1.0? (Round your answer up to the nearest whole number.) n =
You may need to use the appropriate table in the Appendix of Tables to answer this question.
Transcribed Image Text:A CI is desired for the true average stray-load loss u (watts) for a certain type of induction motor when the line current is held at 10 amps for a speed of 1500 rpm. Assume that stray-load loss is normally
distributed with o = 2.2. (Round your answers to two decimal places.)
(a) Compute a 95% CI foru when n = 25 and x = 53.7.
watts
(b) Compute a 95% CI foru when n = 100 and x = 53.7.
watts
(c) Compute a 99% CI for u when n = 100 and x = 53.7.
watts
(d) Compute an 82% CI for u when n = 100 and x = 53.7.
watts
(e) How large must n be if the width of the 99% interval for u is to be 1.0? (Round your answer up to the nearest whole number.)
n =
You may need to use the appropriate table in the Appendix of Tables to answer this question.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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