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T-TEST FOR TWO SAMPLE MEAN
• 𝒕 =
𝒙 𝟏− 𝒙 𝟐
𝒔 𝟏
𝟐
𝒏 𝟏−𝟏 + 𝒔 𝟐
𝟐
𝒏 𝟐−𝟏
(𝒏 𝟏+𝒏 𝟐)−𝟐
𝟏
𝒏 𝟏
+
𝟏
𝒏 𝟐
• df= (𝒏 𝟏+𝒏 𝟐) − 𝟐
EXAMPLE OF T-TEST FOR TWO SAMPLE MEAN
• 1. A taxi company wishes to find out whether the use
of radial tires and belted tires provide the same fuel
consumption. Twelve cars were driven twice over a
prescribed test course; and for each test a car used a
different type of tire (radial or belted) in random order.
The data obtained were recorded, as follows. Is there a
significant difference on the fuel consumption of cars
using radial and belted tires? Use 𝜶 =0.01
Type of Tire Sample Mean SD
Radial 5.75 1.10
Belted 5.61 1.30
SOLUTION
• I. State the null and alternative hypothesis.
• A. 𝑯 𝒐 = There is no significant difference on
the fuel consumption of cars using radial and
belted tires.
• 𝑯 𝒐: 𝝁 𝟏 = 𝝁 𝟐
• B. 𝑯 𝒂 = There is a significant difference on the
fuel consumption of cars using radial and
belted tires.
• 𝑯 𝒂: 𝝁 𝟏 ≠ 𝝁 𝟐
SOLUTION
• II. Set the level of significance.
• 𝜶 = 𝟎. 𝟎1
III. Test Statistic
T-test for Two Sample Mean
SOLUTION
• IV. Computation
• 𝒕 =
𝒙 𝟏− 𝒙 𝟐
𝒔 𝟏
𝟐
𝒏 𝟏−𝟏 + 𝒔 𝟐
𝟐
𝒏 𝟐−𝟏
𝒏 𝟏+𝒏 𝟐 −𝟐
𝟏
𝒏 𝟏
+
𝟏
𝒏 𝟐
• 𝒕 =
𝟓.𝟕𝟓−𝟓.𝟔𝟏
𝟏.𝟏𝟎 𝟐 𝟏𝟐−𝟏 + 𝟏.𝟑𝟎 𝟐 𝟏𝟐−𝟏
𝟏𝟐+𝟏𝟐 −𝟐
𝟏
𝟏𝟐
+
𝟏
𝟏𝟐
Type of Tire Sample Mean SD
Radial 5.75 1.10
Belted 5.61 1.30
SOLUTION
• IV. Computation
• 𝒕 =
𝒙 𝟏− 𝒙 𝟐
𝒔 𝟏
𝟐
𝒏 𝟏−𝟏 + 𝒔 𝟐
𝟐
𝒏 𝟐−𝟏
𝒏 𝟏+𝒏 𝟐 −𝟐
𝟏
𝒏 𝟏
+
𝟏
𝒏 𝟐
• 𝒕 =
𝟓.𝟕𝟓−𝟓.𝟔𝟏
𝟏.𝟏𝟎 𝟐 𝟏𝟐−𝟏 + 𝟏.𝟑𝟎 𝟐 𝟏𝟐−𝟏
𝟏𝟐+𝟏𝟐 −𝟐
𝟏
𝟏𝟐
+
𝟏
𝟏𝟐
Type of Tire Sample Mean SD
Radial 5.75 1.10
Belted 5.61 1.30
𝑡 𝑐𝑜𝑚𝑝𝑢𝑡𝑒𝑑 = 0.2848
SOLUTION
• V. Critical/Tabular Value
• 𝒅𝒇 = (𝒏 𝟏 + 𝒏 𝟐) − 𝟐 (12+12)-2=22
• 𝒕 𝒕𝒂𝒃 = ±𝟐. 𝟖𝟏𝟗 (𝜶 = 𝟎. 𝟎𝟏) (use the critical table for t-test)
• VI. Decision Rule
• Since the 𝒕 𝒄𝒐𝒎𝒑𝒖𝒕𝒆𝒅 𝒗𝒂𝒍𝒖𝒆 is less than the
𝒕 𝒕𝒂𝒃𝒖𝒍𝒂𝒓 𝒗𝒂𝒍𝒖𝒆 , reject the alternative
hypothesis and accept the null hypothesis.
SOLUTION
• VII. Conclusion
• Since the 𝒕 𝒄𝒐𝒎𝒑𝒖𝒕𝒆𝒅 𝒗𝒂𝒍𝒖𝒆 of 0.2848 is les than the
𝒕 𝒕𝒂𝒃𝒖𝒍𝒂𝒓 𝒗𝒂𝒍𝒖𝒆 of 2.8190, reject the alternative
hypothesis and accept the null hypothesis,
regardless of sign at 0.01 level of significance.
The research hypothesis confirms that there is
no significant difference on the fuel
consumption of cars using the radial and
belted tires.
QUIZ 4
1. A college graduate is trying to decide whether to
pursue a masters degree or not. He will only do so if he is
convinced that masters degree loan more than college
graduates. He experimented in 20 master’s degree holders and
25 college graduates. The yearly salaries were P170, 000 and
P126, 000 respectively with corresponding standard deviations
of P6, 000 and P5,400. Using 0.10 significance level, test if
there is a significant difference in the amount of loan that a
master’s degree holder and a college graduates could avail.
QUIZ 4
2. An admission test was administered to incoming freshmen in
the Colleges of Nursing and Veterinary Medicine with 15
students each. Each was randomly selected. The mean scores of
the given samples were = 10 and =15 and the variances
of the test scores were 40 and 35, respectively. Is there a
significant difference between the two groups? Use 0.01 level of
significance.

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T test for two sample mean

  • 1.
  • 2.
  • 3. T-TEST FOR TWO SAMPLE MEAN • 𝒕 = 𝒙 𝟏− 𝒙 𝟐 𝒔 𝟏 𝟐 𝒏 𝟏−𝟏 + 𝒔 𝟐 𝟐 𝒏 𝟐−𝟏 (𝒏 𝟏+𝒏 𝟐)−𝟐 𝟏 𝒏 𝟏 + 𝟏 𝒏 𝟐 • df= (𝒏 𝟏+𝒏 𝟐) − 𝟐
  • 4. EXAMPLE OF T-TEST FOR TWO SAMPLE MEAN • 1. A taxi company wishes to find out whether the use of radial tires and belted tires provide the same fuel consumption. Twelve cars were driven twice over a prescribed test course; and for each test a car used a different type of tire (radial or belted) in random order. The data obtained were recorded, as follows. Is there a significant difference on the fuel consumption of cars using radial and belted tires? Use 𝜶 =0.01 Type of Tire Sample Mean SD Radial 5.75 1.10 Belted 5.61 1.30
  • 5. SOLUTION • I. State the null and alternative hypothesis. • A. 𝑯 𝒐 = There is no significant difference on the fuel consumption of cars using radial and belted tires. • 𝑯 𝒐: 𝝁 𝟏 = 𝝁 𝟐 • B. 𝑯 𝒂 = There is a significant difference on the fuel consumption of cars using radial and belted tires. • 𝑯 𝒂: 𝝁 𝟏 ≠ 𝝁 𝟐
  • 6. SOLUTION • II. Set the level of significance. • 𝜶 = 𝟎. 𝟎1 III. Test Statistic T-test for Two Sample Mean
  • 7. SOLUTION • IV. Computation • 𝒕 = 𝒙 𝟏− 𝒙 𝟐 𝒔 𝟏 𝟐 𝒏 𝟏−𝟏 + 𝒔 𝟐 𝟐 𝒏 𝟐−𝟏 𝒏 𝟏+𝒏 𝟐 −𝟐 𝟏 𝒏 𝟏 + 𝟏 𝒏 𝟐 • 𝒕 = 𝟓.𝟕𝟓−𝟓.𝟔𝟏 𝟏.𝟏𝟎 𝟐 𝟏𝟐−𝟏 + 𝟏.𝟑𝟎 𝟐 𝟏𝟐−𝟏 𝟏𝟐+𝟏𝟐 −𝟐 𝟏 𝟏𝟐 + 𝟏 𝟏𝟐 Type of Tire Sample Mean SD Radial 5.75 1.10 Belted 5.61 1.30
  • 8. SOLUTION • IV. Computation • 𝒕 = 𝒙 𝟏− 𝒙 𝟐 𝒔 𝟏 𝟐 𝒏 𝟏−𝟏 + 𝒔 𝟐 𝟐 𝒏 𝟐−𝟏 𝒏 𝟏+𝒏 𝟐 −𝟐 𝟏 𝒏 𝟏 + 𝟏 𝒏 𝟐 • 𝒕 = 𝟓.𝟕𝟓−𝟓.𝟔𝟏 𝟏.𝟏𝟎 𝟐 𝟏𝟐−𝟏 + 𝟏.𝟑𝟎 𝟐 𝟏𝟐−𝟏 𝟏𝟐+𝟏𝟐 −𝟐 𝟏 𝟏𝟐 + 𝟏 𝟏𝟐 Type of Tire Sample Mean SD Radial 5.75 1.10 Belted 5.61 1.30 𝑡 𝑐𝑜𝑚𝑝𝑢𝑡𝑒𝑑 = 0.2848
  • 9. SOLUTION • V. Critical/Tabular Value • 𝒅𝒇 = (𝒏 𝟏 + 𝒏 𝟐) − 𝟐 (12+12)-2=22 • 𝒕 𝒕𝒂𝒃 = ±𝟐. 𝟖𝟏𝟗 (𝜶 = 𝟎. 𝟎𝟏) (use the critical table for t-test) • VI. Decision Rule • Since the 𝒕 𝒄𝒐𝒎𝒑𝒖𝒕𝒆𝒅 𝒗𝒂𝒍𝒖𝒆 is less than the 𝒕 𝒕𝒂𝒃𝒖𝒍𝒂𝒓 𝒗𝒂𝒍𝒖𝒆 , reject the alternative hypothesis and accept the null hypothesis.
  • 10. SOLUTION • VII. Conclusion • Since the 𝒕 𝒄𝒐𝒎𝒑𝒖𝒕𝒆𝒅 𝒗𝒂𝒍𝒖𝒆 of 0.2848 is les than the 𝒕 𝒕𝒂𝒃𝒖𝒍𝒂𝒓 𝒗𝒂𝒍𝒖𝒆 of 2.8190, reject the alternative hypothesis and accept the null hypothesis, regardless of sign at 0.01 level of significance. The research hypothesis confirms that there is no significant difference on the fuel consumption of cars using the radial and belted tires.
  • 11. QUIZ 4 1. A college graduate is trying to decide whether to pursue a masters degree or not. He will only do so if he is convinced that masters degree loan more than college graduates. He experimented in 20 master’s degree holders and 25 college graduates. The yearly salaries were P170, 000 and P126, 000 respectively with corresponding standard deviations of P6, 000 and P5,400. Using 0.10 significance level, test if there is a significant difference in the amount of loan that a master’s degree holder and a college graduates could avail.
  • 12. QUIZ 4 2. An admission test was administered to incoming freshmen in the Colleges of Nursing and Veterinary Medicine with 15 students each. Each was randomly selected. The mean scores of the given samples were = 10 and =15 and the variances of the test scores were 40 and 35, respectively. Is there a significant difference between the two groups? Use 0.01 level of significance.