StatTutor Lesson - Two-Sample t Procedures

true
Stat Tutor
true
true
You have completed 0 question sequences out of 19.
Two-sample t procedures
Video Player is loading.
Current Time 0:00
Duration 0:00
Loaded: 0%
Stream Type LIVE
Remaining Time 0:00
 
1x
    • Chapters
    • descriptions off, selected

      Question 1

      95

      Question 1.

      True or false: If σ1 and σ2 were known, then ¯x¯¯¯x1¯x¯¯¯x 2 would have a Normal distribution.

      A.
      B.

      Correct. If σ1 and σ2 were known, then ¯x¯¯¯x1¯x¯¯¯x2 would have a Normal distribution with mean µ1 – µ2 and standard deviation σ21n1+σ22n2σ21n1+σ22n2.
      Incorrect. Correct. If σ1 and σ2 were known, then ¯x¯¯¯x1¯x¯¯¯x2 would have a Normal distribution with mean µ1 – µ2 and standard deviation σ21n1+σ22n2σ21n1+σ22n2.
      2
      Try again.

      Question 2

      111

      Question 2.

      What should we do when we don’t know σ1 and σ2?

      A.
      B.
      C.

      Correct. Just as with a one-sample t, we use s to estimate σ. Specifically, we use s1 to estimate σ1 and s2 to estimate σ2.
      Incorrect. Just as with a one-sample t, we use s to estimate σ. Specifically, we use s1 to estimate σ1 and s2 to estimate σ2.
      2
      Try again.

      Question 3

      156

      Question 3.

      With statistical software, which option is the best for degrees of freedom?

      A.
      B.

      Correct. Using software and the approximate two-sample t option is the best option for degrees of freedom as those degrees of freedom are higher than for the conservative two-sample t.
      Incorrect. Using software and the approximate two-sample t option is the best option for degrees of freedom as those degrees of freedom are higher than for the conservative two-sample t.
      2
      Try again.

      Question 4

      184

      Question 4.

      True or false: The null hypothesis is a statement of no difference between the two population means.

      A.
      B.

      Correct. H0: µ1 – µ2 = 0 which is equivalent to H0: µ1 = µ2 is a statement of zero difference or no difference.
      Incorrect. H0: µ1 – µ2 = 0 which is equivalent to H0: µ1 = µ2 is a statement of zero difference or no difference.
      2
      Try again.

      Question 5

      265

      Question 5.

      What value is used as the claimed parameter value for µ1 – µ2 in the test statistic for testing H0: µ1 = µ2?

      A.
      B.
      C.
      D.

      Correct. H0: µ1 = µ2 is equivalent to H0: µ1 – µ2 = 0, so the value used for µ1 – µ2 is zero.
      Incorrect. H0: µ1 = µ2 is equivalent to H0: µ1 – µ2 = 0, so the value used for µ1 – µ2 is zero.
      2
      Try again.

      Question 6

      356

      Question 6.

      What do we use as a point estimate for µ1 – µ2 in a confidence interval?

      A.
      B.
      C.
      D.
      E.

      Correct. We use ¯x1¯¯¯x1 - ¯x2¯¯¯x2 as a point estimate of µ1 – µ2.
      Incorrect. We use ¯x1¯¯¯x1 - ¯x2¯¯¯x2 as a point estimate of µ1 – µ2.
      2
      Try again.

      Question 7

      412

      Question 7.

      What table do we use to find the P-value for t=¯x1¯x2s21n1+s22n2t=¯¯¯x1¯¯¯x2s21n1+s22n2 with df = smaller of (n1 – 1, n2 – 1)?

      A.
      B.

      Correct. Since the formula begins with “t =”, we use the t table to find P-value.
      Incorrect. Since the formula begins with “t =”, we use the t table to find P-value.
      2
      Try again.

      Question 8

      430

      Question 8.

      What table do we use to find the multiplier in the formula ¯x1¯x2±ts21n1+s22n2¯¯¯x1¯¯¯x2±ts21n1+s22n2 with df = smaller of (n1 – 1, n2 – 1)?

      A.
      B.

      Correct. Since the formula includes “t*," we use the t table to find the multiplier.
      Incorrect. Since the formula includes “t*," we use the t table to find the multiplier.
      2
      Try again.

      Question 9

      534

      Question 9.

      Why do we only need to check for outliers if n1 + n2 < 40?

      A.
      B.
      C.

      Correct. We can apply the Central Limit Theorem whenever the combined sample size is large and data are collected appropriately.
      Incorrect. We can apply the Central Limit Theorem whenever the combined sample size is large and data are collected appropriately.
      2
      Try again.

      Question 10

      569

      Question 10.

      If we want to test whether the mean water intake for rats receiving the anti-depressant is greater than the mean water intake for rats receiving the placebo, what alternative hypotheses should we test? Note: D = anti-depressant drug and P = placebo

      A.
      B.
      C.

      Correct. If we want to show that the mean water intake of rats receiving the drug is greater than the mean water intake of rats receiving the placebo, then we want Ha:μD>μPHa:μD>μP.
      Incorrect. If we want to show that the mean water intake of rats receiving the drug is greater than the mean water intake of rats receiving the placebo, then we want Ha:μD>μPHa:μD>μP.
      2
      Try again.

      Question 11

      641

      Question 11.

      Why do we need a two-sample t test for means?

      A.
      B.
      C.
      D.

      Correct. When we have two separate sets of quantitative data, we compare two means. In this case, the response variable is water intake which is quantitative and we have a data set for the drug group of rats and a data set for the placebo group of rats. We don’t have two populations of rats for this example.
      Incorrect.When we have two separate sets of quantitative data, we compare two means. In this case, the response variable is water intake which is quantitative and we have a data set for the drug group of rats and a data set for the placebo group of rats. We don’t have two populations of rats for this example.
      2
      Try again.

      Question 12

      650

      Question 12.

      How should these rats be allocated to the two treatments?

      A.
      B.
      C.

      Correct. Since this is an experiment, the rats should be assigned to treatments with random allocation.
      Incorrect. Since this is an experiment, the rats should be assigned to treatments with random allocation.
      2
      Try again.

      Question 13

      673

      Question 13.

      What is the response variable?

      A.
      B.
      C.
      D.

      Correct. Water intake was measured on each rat; this is the response variable.
      Incorrect. Water intake was measured on each rat; this is the response variable.
      2
      Try again.

      Question 14

      685

      Question 14.

      Are there any outliers in either data set?

      A.
      B.

      Correct. We observe no observation for which you might say, “Oh, wow!!! That’s an outlier!”
      Incorrect. We observe no observation for which you might say, “Oh, wow!!! That’s an outlier!”
      2
      Try again.

      Question 15

      728

      Question 15.

      For the conservative two-sample t procedure, degrees of freedom are the smaller of (n1 – 1) and (n2 – 1). What are the degrees of freedom for this example?

      A.
      B.
      C.
      D.
      E.

      Correct. n1 – 1 = 10 – 1 = 9 and n2 – 1 = 10 – 1 = 9 so df = 9.
      Incorrect. n1 – 1 = 10 – 1 = 9 and n2 – 1 = 10 – 1 = 9 so df = 9.
      2
      Try again.

      Question 16

      788

      Question 16.

      With 0.025 < P-value < 0.05 and α = 0.05, should we reject H0?

      A.
      B.

      Correct. 0.025 < P-value < 0.05 is less than α = 0.05 so we reject H0.
      Incorrect. 0.025 < P-value < 0.05 is less than α = 0.05 so we reject H0.
      2
      Try again.

      Question 17

      798

      Question 17.

      Can we conclude that the anti-depressant drug caused an increase in water intake?

      A.
      B.

      Correct. Because this was a valid experiment, we can conclude that the drug caused an increase in water intake.
      Incorrect. Because this was a valid experiment, we can conclude that the drug caused an increase in water intake.
      2
      Try again.

      Question 18

      883

      Question 18.

      In symbols, the parameter being estimated with this confidence interval is µ1 – µ2. What is this parameter in context?

      A.
      B.
      C.
      D.

      Correct. µ1 – µ2 is the difference between the two treatment means. In this example, it is the difference between the mean water intake of rats receiving the anti-depressant drug and the mean water intake of rats receiving a placebo.
      Incorrect. µ1 – µ2 is the difference between the two treatment means. In this example, it is the difference between the mean water intake of rats receiving the anti-depressant drug and the mean water intake of rats receiving a placebo.
      2
      Try again.

      Question 19

      890

      Question 19.

      This confidence interval estimates µ1 – µ2. On the basis of this interval, can we say that µ1 – µ2 ≠ 0?

      A.
      B.

      Correct. Since the interval does not include the value of zero, we can say that µ1 – µ2 does not equal zero.
      Incorrect. Since the interval does not include the value of zero, we can say that µ1 – µ2 does not equal zero.
      2
      Try again.