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WGU STatistics Test EXAM QUESTIONS AND VERIFIED CORRECT ANSWERS GRADED A+ -LATEST - GUARANTEED PASS.docx

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WGU STatistics Test EXAM QUESTIONS AND VERIFIED CORRECT ANSWERS GRADED A+ -LATEST - GUARANTEED PASS.docx

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WGU STatistics Test Exam QUESTIONS AND
VERIFIED CORRECT ANSWERS GRADED
A+ LATEST 100% GUARANTEED PASS



Which two assumptions are made when the linear regression model is used?



Choose 2 answers




Critical value is based on Fisher's exact test.

Error terms are independent and identically distributed.

Variances are not equal.

Parameters β 0, β 1, and σ 2 are constant. - CORRECT ANSWER-Error terms are independent and
identically distributed.

Parameters β 0, β 1, and σ 2 are constant.



Which assumption is required to perform a two-sample t-test?



Equal variance

Large sample size

Small sum of residuals

Equal mean - CORRECT ANSWER-Equal variance



Given the following statistical model:

,y = 42 - 4.6 b



Match each element of the model with its corresponding term.



Answer options may be used more than once or not at all. Select your answers from the pull-
down list.




y Dependent variable Dependent variable

42 Intercept Intercept

-4.6 Slope Slope

b Independent variable Independent variable - CORRECT ANSWER-y Dependent variable
Dependent variable

42 Intercept Intercept

-4.6 Slope Slope

b Independent variable Independent variable



Given the following generalized two-sample t-test equation:



yi ,j = µi + εi ,j



Classify each element in the equation.



Answer options may be used more than once or not at all.

,Select your answers from the pull-down list. - CORRECT ANSWER-yi ,j Observed value Observed
value

µi Mean response Mean response

εi ,j Error term Error term



Given the following linear model:



y i = β 0 + β 1 xi + ε i



Classify each element correctly.



Answer options may be used more than once or not at all.



Select your answer from the pull-down list. - CORRECT ANSWER-y i Response variable Response
variable

β 0 + β 1 xi Mean response Mean response

xi Explanatory variable Explanatory variable



A study comparing graduating cumulative GPAs from students with two different majors is
conducted to study the effect of each major on academic achievement. From the list of all
graduating students in both majors, a random sample of 30 students from Major One and 30
students from Major Two are selected. The researcher decides to use an ANOVA test for this
study.



What will the researcher need to calculate?




Sample size and sample mean

, Group means and standard deviations

Population mean and standard deviation

Percentage of the population sampled and population mean - CORRECT ANSWER-Group means
and standard deviations



A data analyst is studying the relationship between gender and marriage using the result below:



T = test: Paired two sample for means

Married Gender

Mean 0.48 0.64

Variance 0.26 0.24

Observations 25 25

Pearson correlation 0.220176

Hypothesized mean difference 0

df 24

T stat -1.28103

Confidence level 0.95

P (T<=t) one-tail 0.106213

t critical one-tail 1.710882

P (T<=t) two-tail 0.212425

t critical two-tail 2.063899

Given a confidence level of 95%, what can be concluded?



There is no significant difference of mean between these two groups given the t-values.

There is a significant difference of mean between these two group as our null hypothesis is µ 1 -
µ 2 = 0.

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