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See the SPSS Command Syntax Reference for complete syntax information. in Java Maker 3 of 9 in Java See the SPSS Command Syntax Reference for complete syntax information. Data Matrix barcode for VB.NET




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502 35. generate, create none none for none projectsdata matrix creating vb.net See the SPSS Command Syntax Reference for complete syntax information. barcode 39 Binomial Test The Binomial Test procedur none none e compares the observed frequencies of the two categories of a dichotomous variable to the frequencies that are expected under a binomial distribution with a specified probability parameter. By default, the probability parameter for both groups is 0.5.

To change the probabilities, you can enter a test proportion for the first group. The probability for the second group will be 1 minus the specified probability for the first group..

Example. When you toss a d ime, the probability of a head equals 1/2. Based on this hypothesis, a dime is tossed 40 times, and the outcomes are recorded (heads or tails).

From the binomial test, you might find that 3/4 of the tosses were heads and that the observed significance level is small (0.0027). These results indicate that it is not likely that the probability of a head equals 1/2; the coin is probably biased.

Statistics. Mean, standard deviation, minimum, maximum, number of nonmissing. cases, and quartiles. Data. The variables that are tested should be numeric and dichotomous. To convert string variables to numeri none none c variables, use the Automatic Recode procedure, which is available on the Transform menu. A dichotomous variable is a variable that can take only two possible values: yes or no, true or false, 0 or 1, and so on. If the variables are not dichotomous, you must specify a cut point.

The cut point assigns cases with values that are greater than the cut point to one group and assigns the rest of the cases to another group.. Assumptions. Nonparametric tests do not require assumptions about the shape of the underlying distribution. The data are assumed to be a random sample.

. 503 Nonparametric Tests Figure 35-4 Binomial Test output Binomial Test Asymptotic S ignificance (2-tailed) .0031. Category Coin Group 1 Group 2 Total 1. Based on Z Approximation Head Tail N 30 10 40. Observed Proportion .75 .25 1.00 Test Proportion .50 To Obtain a Binomial Test E From the menus choose: A nalyze Nonparametric Tests Binomial...

Figure 35-5 Binomial Test dialog box. E Select one or more numer none for none ic test variables. E Optionally, click Options for descriptive statistics, quartiles, and control of the. treatment of missing data. 504 35 . Binomial Test Options Figure 35-6 Binomial Test Options dialog box Statistics. You can choose one or both summary statistics. Descriptive.

Displays the mean, standard deviation, minimum, maximum, and. number of nonmissing cases. Quartiles. Displays values corresponding to the 25th, 50th, and 75th percentiles. Missing Values.

Controls the treatment of missing values. Exclude cases test-by-test. When several tests are specified, each test is evaluated.

separately for missing values. Exclude cases listwise. Cases with missing values for any variable that is tested are excluded from all analyses. NPAR TESTS Command Additio nal Features (Binomial Test). The SPSS command language none for none also allows you to: Select specific groups (and exclude other groups) when a variable has more than two categories (with the BINOMIAL subcommand). Specify different cut points or probabilities for different variables (with the BINOMIAL subcommand). Test the same variable against different cut points or probabilities (with the EXPECTED subcommand).

See the SPSS Command Syntax Reference for complete syntax information.. 505 Nonparametric Tests Runs Test The Runs Test procedure te sts whether the order of occurrence of two values of a variable is random. A run is a sequence of like observations. A sample with too many or too few runs suggests that the sample is not random.

. Examples. Suppose that 20 none none people are polled to find out whether they would purchase a product. The assumed randomness of the sample would be seriously questioned if all 20 people were of the same gender.

The runs test can be used to determine whether the sample was drawn at random. Statistics. Mean, standard deviation, minimum, maximum, number of nonmissing.

cases, and quartiles. Data. The variables must b none none e numeric. To convert string variables to numeric variables,.

use the Automatic Recode procedure, which is available on the Transform menu. Assumptions. Nonparametric none none tests do not require assumptions about the shape of the underlying distribution. Use samples from continuous probability distributions.

. Figure 35-7 Runs Test output Runs Test Gender Test Value 1.00 7 13 20 15 2.234 .

025. Cases < Test Value Case none for none s >= Test Value Total Cases Number of Runs Z Asymptotic Significance (2-tailed) 1. Median. To Obtain a Runs Test E From the menus choose: Analyze Nonparametric Tests Runs... 506 35 Figure 35-8 Runs Test dialog box E Select one or more numer none for none ic test variables. E Optionally, click Options for descriptive statistics, quartiles, and control of the.
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