BIO 250L TEST BANK COMPLETE
QUESTIONS AND ANSWERS GUARANTEED
TO PASS PRACTICE SOLUTION
●● How do you perform a Chi-square test in SPSS for bird nesting
preferences?
Answer: Enter data: "Tree_Type" (Maple/Oak/Walnut) and
"Nest_Count" (21/47/32)
2) Analyze → Nonparametric Tests → Legacy Dialogs → Chi-Square
3) Move "Nest_Count" to Test Variable List
4) Select "All categories equal" or enter expected values
5) Click OK and check p-value (if p < 0.05, there's a significant
preference)
●● You're comparing pine tree densities at two elevations: High (87.5
trees/km²) vs. Low (100.4 trees/km²), with 15 samples each. What
statistical test should you use?
Answer: First test for normality using Shapiro-Wilk test. If data in both
groups is normally distributed (p > 0.05), use Independent Samples t-
test. This is appropriate for comparing means between two categorical
groups with numeric data.
●● How do you perform an Independent Samples t-test in SPSS for
comparing tree densities at different elevations?
Answer: 1) Enter data: "Elevation" (1=High, 2=Low) and "Density"
, 2) Test normality: Analyze → Descriptive Statistics → Explore (check
Normality plots)
3) If normal: Analyze → Compare Means → Independent-Samples T
Test
4) Move "Density" to Test Variable(s), "Elevation" to Grouping Variable
5) Define Groups (1,2) → OK
6) Check Levene's test first, then appropriate row of t-test results
●● You're measuring snail shell lengths in two habitats (Forest vs.
Meadow). Data is not normally distributed. What statistical test should
you use?
Answer: Mann-Whitney U test. This non-parametric alternative to t-test
is appropriate when comparing numeric data between two groups when
data isn't normally distributed. It compares ranks rather than means.
●● How do you perform a Mann-Whitney U test in SPSS for comparing
snail shell lengths?
Answer: 1) Enter data: "Habitat" (1=Forest, 2=Meadow) and
"ShellLength"
2) Analyze → Nonparametric Tests → Legacy Dialogs → 2 Independent
Samples
3) Move "ShellLength" to Test Variable List, "Habitat" to Grouping
Variable
4) Define Groups (1,2) → Continue
5) Ensure Mann-Whitney U is selected under Test Type
QUESTIONS AND ANSWERS GUARANTEED
TO PASS PRACTICE SOLUTION
●● How do you perform a Chi-square test in SPSS for bird nesting
preferences?
Answer: Enter data: "Tree_Type" (Maple/Oak/Walnut) and
"Nest_Count" (21/47/32)
2) Analyze → Nonparametric Tests → Legacy Dialogs → Chi-Square
3) Move "Nest_Count" to Test Variable List
4) Select "All categories equal" or enter expected values
5) Click OK and check p-value (if p < 0.05, there's a significant
preference)
●● You're comparing pine tree densities at two elevations: High (87.5
trees/km²) vs. Low (100.4 trees/km²), with 15 samples each. What
statistical test should you use?
Answer: First test for normality using Shapiro-Wilk test. If data in both
groups is normally distributed (p > 0.05), use Independent Samples t-
test. This is appropriate for comparing means between two categorical
groups with numeric data.
●● How do you perform an Independent Samples t-test in SPSS for
comparing tree densities at different elevations?
Answer: 1) Enter data: "Elevation" (1=High, 2=Low) and "Density"
, 2) Test normality: Analyze → Descriptive Statistics → Explore (check
Normality plots)
3) If normal: Analyze → Compare Means → Independent-Samples T
Test
4) Move "Density" to Test Variable(s), "Elevation" to Grouping Variable
5) Define Groups (1,2) → OK
6) Check Levene's test first, then appropriate row of t-test results
●● You're measuring snail shell lengths in two habitats (Forest vs.
Meadow). Data is not normally distributed. What statistical test should
you use?
Answer: Mann-Whitney U test. This non-parametric alternative to t-test
is appropriate when comparing numeric data between two groups when
data isn't normally distributed. It compares ranks rather than means.
●● How do you perform a Mann-Whitney U test in SPSS for comparing
snail shell lengths?
Answer: 1) Enter data: "Habitat" (1=Forest, 2=Meadow) and
"ShellLength"
2) Analyze → Nonparametric Tests → Legacy Dialogs → 2 Independent
Samples
3) Move "ShellLength" to Test Variable List, "Habitat" to Grouping
Variable
4) Define Groups (1,2) → Continue
5) Ensure Mann-Whitney U is selected under Test Type
