Practise Lab Final DOC V2
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Grant MacEwan University *
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161
Subject
Statistics
Date
Feb 20, 2024
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docx
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11
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1.The survey data STATISTICSSTUDENTSSURVEYSAV contains several columns. Identify the type of variable in the column FEDBEST, a variable that measures which federal political party students think has the best platform (Conservative, Green, Liberal, NDP).
qualitative categorical (ordinal)
quantitative numerical discrete
qualitative categorical (non-ordinal)
quantitative numerical continuous
2.The survey data STATISTICSSTUDENTSSURVEYSAV contains the column FAAGESTUDBIRTH which is a variable that measures the age of students' fathers when students were born. Use SPSS to make a histogram to describe the data. Choose the most correct answer to describe what you see in the shape of the data distribution.
right skewed
uniform
left skewed
Symmetric
Graphs > Legacy Dialogs>Histogram
Variable: FAAGESTUDBIRTH
OK
3.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column BEFPULSEMIN (a numerical variable that measures student pulses before completing an online survey) and the column BEFBREATHMIN (a numerical variable that measures student breaths per minute before completing an online survey). For education purposes, consider this dataset to be a sample of size 60 taken from a much larger population for statistics students. Consider BEFPULSEMIN to be
a response variable and BEFBREATHMIN to be an explanatory variable. Choose the most correct answer below
The line of best fit for this data is BEFPULSEMIN = 46.186 + 1.51BEFBREATHMIN and the correlation between the variables is 0.685
The line of best fit for this data is BEFPULSEMIN = 46.186 + 1.51BEFBREATHMIN and the correlation between the variables is 0.828.
The line of best fit for this data is BEFBREATHMIN = -15.070 + 0.454BEFPULSEMIN and the correlation between the variables is 0.828.
The line of best fit for this data is BEFBREATHMIN = -15.070 + 0.454BEFPULSEMIN and the correlation between the variables is 0.685.
Analyze > Regression > Linear
Dependent: BEFPULSEMIN
Block 1 of 1: BEFBREATHMIN, OK
4.Randomly collected student data in the dataset STATISTICSSTUDENTSSURVEYSAV contains the columns FEDVOTE(voted Federal party (Conservative, Green, Liberals, or NDP) ). Make a frequency distribution for the variable FEDVOTE. What is the probability a randomly selected student votes Federal NDP? Choose the most correct (closest) answer below.
0.217
0.500
0.450
0.283
Analyze > Descriptive Statistics > Frequencies
Variable: FEDVOTE, OK
5.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column FEDBEST, a variable that measures which federal political party students think Ha d the best platform (Conservative, Green, Liberal, NDP) and the column FAVSEASON, a variable that measures students favourite season (Spring, Summer, Fall, Winter). Create a cluster bar chart to illustrate the relationship between FEDBEST and FAVSEASON. Choices for FEDBEST should add to 100% within each of the four choices for FAVSEASON. Within the cluster for Spring, what percent of students view Liberals as best?
10.00%
25.00%
37.50%
35.29%
Graphs> Chart Builder, OK
Double Click on Icon for Side by Side Clusters
Move FAVSEASON to the X axis
Move FEDBEST to the “Cluster on X” legend
Under Elements Propertites tab, go to Statistics dropdown and choose Percentage
Click “Set Parameters”
In “Element Properties Set Parameters” pop up box, choose “Total for Each X Axis Category”, Continue
OK
Click on graph to Bring up Chart Editor
Right click on a bar and select “Show data labels”
OK
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6.The survey data STATISTICSSTUDENTSSURVEYSAV contains the column ENDPULSEMIN (a variable that measures student pulse in beats per min (bpm) after doing the survey) and the column UNDERGORGRAD (a variable that measures whether the student is pursuing an undergraduate or graduate degree). Use SPSS to find the mean and standard deviation of student pulse rate in beats per minute for the undergrad students and the mean and standard deviation of student pulse rate in beats per minute for the graduate students. Choose the most correct answer below.
The undergraduate mean is less than the graduate mean and the undergraduate standard deviation is less than the graduate standard deviation.
The undergraduate mean is more than the graduate mean and the undergraduate standard
deviation is less than the graduate standard deviation.
The undergraduate mean is less than the graduate mean and the undergraduate standard deviation is more than the graduate standard deviation.
The undergraduate mean is more than the graduate mean and the undergraduate standard
deviation is more than the graduate standard deviation.
Analyze > Descriptive Statistics > Explore
Dependent List: ENDPULSEMIN
Factor List: UNDERGORGRAD
Ok
7.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column BEFPULSEMIN (a numerical variable that measures student pulses before completing an online survey). For education purposes, consider this dataset to be a sample of size 60 taken from a much larger population for statistics students. You test, with a significance level of 5% , whether there is significant evidence that the average beats per minute for the population is below 76.2. Which of the following statements is most correct?
Your test statistic is -2.383, your pvalue is 0.010, and you can reject Ho .
your test statistic is 2.383, your pvalue is 0.010, and you can reject Ho .
your test statistic is -2.383, your pvalue is 0.020, and you can reject Ho .
your test statistic is 2.383, your pvalue is 0.020, and you cannot reject Ho .
Analyze > Compare Means > One-Sample T test
Test Variable: BEFPULSEMIN, OK
8.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column ENDPULSEMIN (a numerical variable that measures student pulses after completing an online survey) and the column BEFPULSEMIN (a numerical variable that measures student pulses before completing an online survey). For education purposes, consider this dataset to be a sample of size 60 taken from a much larger population for statistics students. Consider the paired differences d=ENDPULSEMIN - BEFPULSEMIN. Calculate a 94% confidence interval for the mean of the population paired differences. Choose the most correct (closest) answer.
.your confidence interval is (0.475, 1.525) and there is no significant evidence that, on average, the two pulse rate measurements give different results.
.your confidence interval is (0.497, 1.503) and there is no significant evidence that, on average, the two pulse rate measurements give different results, on average.
.your confidence interval is (0.475, 1.525) and there is significant evidence that, on average, the two pulse rate measurements give different results.
.your confidence interval is (0.497, 1.503) and there is significant evidence that, on average, the two pulse rate measurements give different results.
Analyze > Compare Means>Paired-Samples T-test
Paried Variables
Variable1: ENDPULSEMIN
Variable2: BEFPULSEMIN
Options: Confidence Interval Percent: 94, Continue, OK
9.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column ENDPULSEMIN (a numerical variable that measures student pulses after completing an online survey) and the column BEFPULSEMIN (a numerical variable that measures student pulses before completing an online survey). For education purposes, consider this dataset to be a sample of size 60 taken from a much larger population for statistics students. Consider the paired differences d=ENDPULSEMIN - BEFPULSEMIN. You wish to test whether there is significant evidence that the
post-survey bpm differs from pre-survey bpm, on average. Use a level of significance of 5%. Choose the most correct (closest) answer.
your test statistic is -3.809 and your reject your Ho
your test statistic is 3.809 and you fail to reject your Ho .
your test statistic is 3.809 and you reject your Ho .
your test statistic is -3.809 and you fail to reject your Ho .
Analyze > Compare Means>Paired-Samples T-test
Paried Variables
Variable1: ENDPULSEMIN
Variable2: BEFPULSEMIN
OK
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10.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column YRAGE (a numerical variable that measures student age) and the column JTGOOD (a categorical variable that measures whether the student feels Justin Trudeau is doing a good job (No, Yes) ). For education
purposes, assume that the two groups are two independent samples from a much larger normal
population for statistics students. Use the appropriate test to test, at the 5% significance level, whether, on average, the student age differs for the no and yes groups. Use the difference µNo- µYes. Choose the most correct (closest) answer.
Your test statistics is -1.223 and you fail to reject your Ho .
your test statistic is -1.223 and you reject your Ho .
your test statistic is 1.223 and your fail to reject your Ho .
your test statistic is 1.223 and you reject your Ho .
Analyze > Compare Means > Independent Sample T test
Test Variable: YRAGE
Grouping Variable: JTGOOD
Define Groups: Group 1: No
Group 2: Yes
Continue, OK
11.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column MOTHDEGREE (a categorical variable that indicates the degree obtained (or being obtained) by a student's mother (GraduateProfessional, HighSchool, Undergraduate) and the column JTGOOD (a categorical variable that indicates whether a student thinks Justin Trudeau is doing a good job (no, yes)) we consider, somewhat artificially, the Statistics 151 student data in the STATISTICSSTUDENTSSURVEYSAV file to be a random sample from a much larger hypothetical population of Canadian students. Using a level of significance of 5%, you perform a chi-square test of independence to determine if mothers degree and student view on Justin Trudeau's job performance are independent. Choose the most correct (closest) answer below.
Your pvalue is 0.643, and you reject your null hypothesis.
your pvalue is 0.643, and you fail to reject your null hypothesis.
your pvalue is 0.322, and you fail to reject your null hypothesis.
a chi-square test of independence requires numerical variables and you cannot do this problem.
Analyze > Descriptive Statistics > Crosstabs
Rows: MOTHDEGREE
Columns: JTGOOD
Statistics tab: Check Chi-square
Continue, OK
12.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column MOTHDEGREE (a categorical variable that indicates the degree obtained (or being obtained) by a student's mother (GraduateProfessional, HighSchool, Undergraduate) and the column JTGOOD (a categorical variable that indicates whether a student thinks Justin Trudeau is doing a good job (no, yes)) we consider, somewhat artificially, the Statistics 151 student data in the STATISTICSSTUDENTSSURVEYSAV file to be a random sample from a much larger hypothetical population of Canadian students. At the 5% significance level, do the data provide sufficient evidence to conclude that preferred mothers degree and opinion on Justin Trudeauâ s job are associated)? Use SPSS to conduct the hypothesis test of interest. Be sure to include expected frequencies in your output. Choose the most correct (closest) answer below.
Your expected count of students in the (GraduateProfessional, No) cell is 10 and there is insufficient evidence to support association between mothers degree and opinion on Justin
Trudeau.
your expected count of students in the (GraduateProfessional, No) cell is 8.3 and there is sufficient evidence to support an association between mothers degree and opinion on Justin Trudeau.
Your expected count of students in the (GraduateProfessional, No) cell is 8.3 and there is insufficient evidence to support an association between mothers degree and opinion on Justin Trudeau.
your expected count of students in the (GraduateProfessional, No) cell is 10 and there is sufficient evidence to support an association between mothers degree and opinion on Justin Trudeau.
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Analyze > Descriptive Statistics > Crosstabs
Rows: MOTHDEGREE
Columns: JTGOOD
Statistics tab: Check Chi-square
Cells tab: Check Expected
Continue, OK
13.The Excel file STATISTICSSTUDENTSSURVEYSAV contains the column MOTHDEGREE (a categorical variable that indicates the degree obtained (or being obtained) by a students mother
(GraduateProfessional, HighSchool, Undergraduate), and the column WKHRSHWKPC (a numerical variable that measures the hours of homework students do per course per week). Create a column NMOTHEDEGREE (a categorical variable that assigns the value 1 to GraduateProfessional, the value 2 to HighSchool and the value 3 to Undergraduate). Using a level of significance of 10%, we wish to perform an ANOVA test to compare the means weekly homework hours per course for students with mothers from the three (treatment) degree groups (GraduateProfessional, HighSchool, Undergraduate) and determine if at least one of the treatment group mean hours of homework per course per week differs significantly from the others. Choose the most correct answer below.)
The p-value is P(F > 2.661) and the result is not significant.
The p-value is P(F > 2.661) and the result is significant.
The test statistic value is 2.661 and the result is not significant.
The p-value is 0.079 and the result is not significant.
Transform > Recode into Different Variables
Input Variable > Output Variable: MOTHDEGREE
Output Variable: NMOTHDEGREE
Old and New Variables: Old Value: GraduateProfessional
New Value: 1
Add
Old Value: HighSchool
New Value: 2
Add
Old Value: Undergraduate
New Value: 3
Add
Continue, OK
Analyze > Compare Means >One-Way ANOVA
Dependent List: WKHRSHWKPC
Factor: NMOTHDEGREE
OK
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