Appendix A: Standard Normal Cumulative Table5 min
Appendix A presents cumulative probabilities for the standard normal distribution, N(z), for positive and negative z-values in tabular form. The table is used to find tail probabilities and z-critical values for constructing confidence intervals and conducting z-tests. For example, to find the two-sided 5 percent critical z value (leaving 2.5 percent in each tail), find 0.9750 in the body and read the corresponding z approximately 1.96. The table covers z from 0.00 to 4.00 and shows cumulative probabilities to four decimal places.

Key Points

  • Use the table to find P(Z <= z) for z values.
  • To get two-tailed critical z, split alpha into two tails and locate the cumulative probability.
  • As z increases, cumulative probability approaches 1.0000.
Appendix B: Student's t Distribution Table (One-Tailed)5 min
Appendix B contains one-tailed critical values of Student's t distribution for a variety of degrees of freedom and tail probabilities (p = 0.10, 0.05, 0.025, 0.01, 0.005). It explains how to use df and desired tail probability to obtain the critical t-value for one- or two-tailed tests (note two-tailed alpha is split into two one-tailed probabilities). As degrees of freedom increase, the t-values approach the standard normal critical values.

Key Points

  • t critical values depend on degrees of freedom and chosen tail probability.
  • For two-tailed tests, use alpha/2 when looking up one-tailed table entries.
  • t-values converge to z-values as df becomes large.
Appendix C: Chi-square Distribution Values5 min
Appendix C gives critical values of the chi-square distribution for many degrees of freedom and right-tail probabilities (from 0.99 down to 0.005). Chi-square critical values are used for variance tests and goodness-of-fit tests and in constructing confidence intervals for variances.

Key Points

  • Chi-square critical values are asymmetric and depend only on degrees of freedom.
  • Used for tests involving variances and contingency tables.
  • Tables provide right-tail critical values for multiple significance levels.
Appendix D: F-Distribution Tables5 min
Appendix D provides critical F-distribution values for tests that compare variances or for ANOVA, with multiple panels showing right-tail critical values for tail areas equal to 0.05, 0.025, 0.01, and 0.005. The table is organized by numerator degrees of freedom (df1) and denominator degrees of freedom (df2). Users must locate the intersection of df1 and df2 for the chosen right-tail area to obtain the critical F.

Key Points

  • F critical values require both numerator and denominator degrees of freedom.
  • Used in ANOVA and variance ratio tests.
  • Multiple panels cover common alpha levels for right-tail tests.
Appendix E: Durbin-Watson Critical Values5 min
Appendix E displays Durbin-Watson critical lower and upper bounds (dl and du) for alpha = 0.05 across sample sizes n and model parameter count K (the number of slope parameters). The Durbin-Watson test compares the test statistic d to dl and du to decide on evidence for positive serial correlation, inconclusive region, or no evidence of positive serial correlation. Because many applied problems require interpolation or use of asymptotic values (large df), the appendices also show limiting values (such as infinity) where relevant. These appendices serve as ready references for hypothesis testing, regression diagnostics, confidence/prediction intervals, and model assessments in quantitative methods.

Key Points

  • Durbin-Watson test compares d to dl and du to assess positive serial correlation.
  • dl and du depend on sample size and number of slope regressors K.
  • If d < dl then evidence of positive autocorrelation; if d > du then no evidence; if dl <= d <= du inconclusive.

Questions

Question 1

Using the standard normal table (Appendix A), what is the cumulative probability P(Z <= 1.28) approximately?

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Question 2

If you need the two-tailed 5 percent critical z value, which z should you use from Appendix A?

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Question 3

What cumulative probability P(Z <= -1.96) is shown in Appendix A for negative z?

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Question 4

For a one-tailed t-test at alpha = 0.05 with df = 10, what critical t-value does Appendix B provide (one-tailed)?

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Question 5

If you run a two-tailed t-test with alpha = 0.01 and df = 20, which t critical should you use (read from Appendix B one-tailed table)?

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Question 6

Which statement correctly describes the relationship between t critical values and degrees of freedom as shown in Appendix B?

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Question 7

Appendix C provides chi-square critical values. For df = 10 and right-tail probability 0.05, which chi-square value is listed?

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Question 8

You want a 99 percent confidence interval for a variance estimate using a chi-square table. Which right-tail probabilities from Appendix C would you use to find the interval endpoints?

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Question 9

For an F-test comparing two variances with numerator df1 = 3 and denominator df2 = 10 at right-tail alpha = 0.05, what F critical value does Appendix D (Panel A) give approximately?

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Question 10

When using Appendix D Panel C for a right-tail area of 0.01, why must you specify both numerator and denominator degrees of freedom?

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Question 11

Which Appendix would you consult to test whether residuals from an OLS regression are positively autocorrelated at alpha = 0.05?

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Question 12

If you have n = 30 observations and K = 2 slope parameters in the regression, what are the Durbin-Watson dl and du approximately (Appendix E)?

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Question 13

Suppose your computed Durbin-Watson statistic is d = 1.20 and for your model n = 25 and K = 3 Appendix E gives dl = 1.12 and du = 1.55. What conclusion about positive serial correlation is appropriate?

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Question 14

From Appendix B, what is the one-tailed t-value for df = 1 at p = 0.01?

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Question 15

You plan a two-tailed t-test at alpha = 0.10 with df = 15. Which one-tailed p should you look up in Appendix B and what t critical will you find approximately?

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Question 16

Appendix C lists chi-square values. If you need the 95 percent lower critical value (i.e., left-tail 0.05) for df = 5, which right-tail entry should you use from the table?

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Question 17

Which appendix would you use to find the critical value for an ANOVA F-test with df1 = 2, df2 = 30 at alpha = 0.05?

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Question 18

Using Appendix D Panel A, if df1 = 1 and df2 = 120, what is the approximate F critical value at right-tail alpha = 0.05?

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Question 19

Appendix E lists Durbin-Watson critical values for alpha = .05. If K = 4 and n = 40, what are the approximate dl and du?

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Question 20

When constructing a 95 percent prediction interval for a mean using z-critical values, which appendix provides the appropriate z quantile?

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Question 21

If a researcher has sample size n = 60 and wants a two-tailed t critical for alpha = 0.05, which Appendix B value is most appropriate to use in place of z?

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Question 22

From Appendix C, what is the chi-square critical value for df = 1 at right-tail 0.95 (i.e., lower 0.05)?

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Question 23

You need an F critical value for a two-sided variance comparison test. If you plan to use Appendix D Panel B for right-tail area 0.025, how do you adjust for a two-sided test?

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Question 24

Appendix B lists a t critical of approximately 2.228 for df = 10 at p = 0.025 one-tailed. For a two-tailed test at alpha = 0.05 with df = 10, which critical should be used?

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Question 25

If Appendix A shows P(Z <= 2.33) ≈ 0.9901, what one-sided tail probability does that correspond to?

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Question 26

Which appendix is most appropriate to determine the critical value for testing whether observed categorical counts fit expected proportions?

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Question 27

You have two samples: sample variance s1^2 from sample size n1 = 12 and s2^2 from n2 = 15. To test equality of variances at alpha = 0.05 using an F-test, which table and which df pair do you consult in Appendix D Panel A?

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Question 28

From Appendix B, what is t(30, 0.01 one-tailed) approximately as df grows large: does it approach a specific z value and which?

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Question 29

For a chi-square test with df = 20 and right-tail alpha = 0.05, which critical value does Appendix C show approximately?

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Question 30

Appendix D Panel A shows F criticals for right-tail 0.05. If df1 = 5 and df2 = 6, what is the approximate critical value?

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Question 31

Which appendix would you consult to find the critical t value to use when the population standard deviation is unknown and n = 9 for a two-tailed 10 percent test?

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Question 32

Appendix A gives cumulative probabilities. If P(Z <= 0.00) = 0.5000, what is the two-sided p-value for observing z = 0.00 in a two-tailed z-test?

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Question 33

From Appendix D Panel A, the table shows an F critical of 4.96 for df1 = 10 and df2 = 3 at alpha = 0.05. Which statement is correct about this reading?

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Question 34

Which appendix would be most helpful when calculating a confidence interval for a normally distributed population mean when the population variance is known?

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Question 35

You have a sample variance s^2 from n = 16 observations and want a 95 percent CI for population variance. Which chi-square values from Appendix C should you use for the denominators?

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Question 36

Appendix E gives Durbin-Watson critical values for K up to 5. If your regression has K = 5 and n = 25, what approximate dl and du values do you use to test for positive autocorrelation?

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Question 37

Which appendix and value would you use to find the critical z-value for a one-tailed 2.5 percent significance test?

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Question 38

For sample sizes that are very large, which limiting values in the appendices are most relevant when using critical value tables?

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Question 39

Appendix D provides F criticals for multiple right-tail areas. If your application requires a right-tail area of 0.005, which panel should you consult?

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Question 40

If you require the critical F value for df1=1 and df2=3 at right-tail area 0.05, what numerical result does Appendix D give and what does it represent?

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Question 41

If Appendix C gives chi-square at df = 3 and right-tail 0.05 as 7.815, what implication does that have for a variance test with n = 4 at alpha = 0.05?

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Question 42

When reading Appendix A for P(Z <= 2.50), which cumulative probability is closest to the table value?

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Question 43

Appendix B shows t(5, 0.025 one-tailed) approx 2.571. For a two-tailed test at alpha = 0.05 with df = 5, what decision rule uses this number?

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Question 44

If Appendix D Panel A shows F(2,20,0.05) ≈ 3.49 and your computed F = 4.00, what is the inference at alpha = 0.05?

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Question 45

Which appendix table would be used to compute a confidence interval for a population standard deviation based on sample variance and which values are needed?

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Question 46

If Appendix B lists t(30,0.10 one-tailed) = 1.310, what is the appropriate use of this in hypothesis testing?

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Question 47

From Appendix A, what is the z value corresponding to cumulative probability 0.9750, and how is it typically used?

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Question 48

If you have an F statistic with df1 = 4 and df2 = 24 and you need the right-tail 0.025 critical value, which panel in Appendix D should you consult and what approximate value would you expect?

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Question 49

Appendix E lists Durbin-Watson bounds for alpha = 0.05. If K = 1 and n = 50, what dl and du are approximately provided?

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Question 50

Which of the following best describes how to use Appendix A and Appendix B together when constructing a 95 percent confidence interval for a mean when population variance is unknown and sample size is small?

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