A survey was conducted by nursing students to investigate the current nursing profession situation in Pakistan. Variables collected included gender, education level, ethnicity, location, age, marital status, and employment status. The appropriate graph to display marital status data which includes categories like married, unmarried, and divorced would be a pie chart. The level of education is nominal data. The best way to display age data is with a histogram or bar chart.
This document contains a quiz on nursing research and biostatistics. It includes 53 multiple choice questions testing concepts like sampling techniques, scales of measurement, measures of central tendency and variability, probability, distributions, and research methodology (both quantitative and qualitative). The questions cover topics like random sampling, nominal vs. ratio scales, measures like mean, median and mode, standard deviation, normal distributions, hypothesis testing, research design types, and qualitative research approaches.
1. The stages of cancer are recorded using an ordinal scale of 0, I, II, III, IV.
2. Mean, median, variance, and standard deviation are fundamental statistical indicators.
3. The average of a series of values is the sum of the values divided by their number, which is an indicator of central tendency.
This document contains 16 multiple choice questions testing statistical concepts. The questions cover topics such as statistical inference, populations and samples, quantitative and qualitative data, types of errors in data collection, graphical representations of data including histograms, scatter plots, and frequency distributions, measures of central tendency and variability including mean, variance and standard deviation, probability, and conditional probability. The correct answers to each question are also provided.
The document contains 73 multiple choice questions related to statistical concepts such as hypothesis testing, measures of central tendency, correlation, regression, sampling, and chi-square tests. The questions cover topics like the difference between parameters and statistics, types of errors in hypothesis testing, measures of dispersion, levels of significance, and definitions of key statistical terms.
This document provides information about statistical hypothesis testing procedures including t-tests, z-tests, and F-tests. It defines key terms like the null hypothesis, alternative hypothesis, and level of significance. It explains the steps to conduct hypothesis tests including setting the hypotheses, fixing the significance level, choosing a test criterion, performing calculations, and making a conclusion. Specifically, it discusses one-sample and two-sample z-tests for large samples and one-sample and two-sample t-tests for small samples. The assumptions, conditions, and procedures for each test are outlined in detail over multiple pages.
This document contains a quiz on statistical measures of central tendency and dispersion. It includes 40 multiple choice questions covering topics like mean, median, mode, range, standard deviation, variance, coefficient of variation, quartile deviation, and how these measures are affected by changes to the data. The questions ask about concepts like which measures use all observations, which are unaffected by outliers, and how the measures change if the data is shifted or scaled.
The document contains multiple choice questions about biostatistics and public health dentistry. It includes questions about measures of central tendency such as mean, median, and mode. Other questions address correlation, scales of measurement, random sampling, statistical significance, and skewed distributions. The questions are intended as a learning tool for dental students and professionals.
This document contains a quiz on nursing research and biostatistics. It includes 53 multiple choice questions testing concepts like sampling techniques, scales of measurement, measures of central tendency and variability, probability, distributions, and research methodology (both quantitative and qualitative). The questions cover topics like random sampling, nominal vs. ratio scales, measures like mean, median and mode, standard deviation, normal distributions, hypothesis testing, research design types, and qualitative research approaches.
1. The stages of cancer are recorded using an ordinal scale of 0, I, II, III, IV.
2. Mean, median, variance, and standard deviation are fundamental statistical indicators.
3. The average of a series of values is the sum of the values divided by their number, which is an indicator of central tendency.
This document contains 16 multiple choice questions testing statistical concepts. The questions cover topics such as statistical inference, populations and samples, quantitative and qualitative data, types of errors in data collection, graphical representations of data including histograms, scatter plots, and frequency distributions, measures of central tendency and variability including mean, variance and standard deviation, probability, and conditional probability. The correct answers to each question are also provided.
The document contains 73 multiple choice questions related to statistical concepts such as hypothesis testing, measures of central tendency, correlation, regression, sampling, and chi-square tests. The questions cover topics like the difference between parameters and statistics, types of errors in hypothesis testing, measures of dispersion, levels of significance, and definitions of key statistical terms.
This document provides information about statistical hypothesis testing procedures including t-tests, z-tests, and F-tests. It defines key terms like the null hypothesis, alternative hypothesis, and level of significance. It explains the steps to conduct hypothesis tests including setting the hypotheses, fixing the significance level, choosing a test criterion, performing calculations, and making a conclusion. Specifically, it discusses one-sample and two-sample z-tests for large samples and one-sample and two-sample t-tests for small samples. The assumptions, conditions, and procedures for each test are outlined in detail over multiple pages.
This document contains a quiz on statistical measures of central tendency and dispersion. It includes 40 multiple choice questions covering topics like mean, median, mode, range, standard deviation, variance, coefficient of variation, quartile deviation, and how these measures are affected by changes to the data. The questions ask about concepts like which measures use all observations, which are unaffected by outliers, and how the measures change if the data is shifted or scaled.
The document contains multiple choice questions about biostatistics and public health dentistry. It includes questions about measures of central tendency such as mean, median, and mode. Other questions address correlation, scales of measurement, random sampling, statistical significance, and skewed distributions. The questions are intended as a learning tool for dental students and professionals.
This document appears to be a multiple choice quiz on quantitative techniques and statistics. It contains 36 multiple choice questions covering topics like correlation, normal distributions, probability, hypothesis testing, and regression. The questions range from calculating probabilities and percentages to identifying statistical concepts and relationships between variables based on data provided.
The document discusses the concept of degrees of freedom. It provides definitions from various statistics textbooks and dictionaries. Degrees of freedom refers to the number of independent variables or pieces of information in a sample. The document also gives everyday examples to help explain degrees of freedom, such as dividing up time among tasks. Finally, it discusses statistical applications of degrees of freedom, such as in calculating sample variance, t-tests, ANOVA, and regression analysis.
The document discusses testing for independence between two variables using a contingency table and chi-square test. It explains how to set up a contingency table with observed and expected frequencies, and how to calculate the chi-square test statistic to determine if the variables are independent or dependent. An example is provided that tests if blood pressure is independent of jogging status using a contingency table and chi-square test.
This document contains a quiz on statistics concepts. It includes 43 multiple choice questions covering topics such as the definition of statistics, types of variables, methods of data collection and presentation, classification of data, frequency distributions, diagrams and charts. The questions assess understanding of key statistical terminology and how to represent and analyze various types of data.
Stat 130 chi-square goodnes-of-fit testAldrin Lozano
- The chi-square goodness-of-fit test can be used to determine if a frequency distribution fits a specific pattern or theoretical distribution. It compares observed frequencies to expected frequencies.
- To perform the test, the chi-square statistic is calculated using the formula (O-E)^2/E, where O is the observed frequency and E is the expected frequency. This value is then compared to a critical value from the chi-square distribution based on the degrees of freedom.
- If the chi-square statistic exceeds the critical value, the null hypothesis that the observed and expected frequencies are the same is rejected, indicating a poor fit between the observed and expected distributions.
Hypothesis testing chi square test for independenceNadeem Uddin
This document discusses how to conduct a chi-square test for independence using an example of testing whether a sports team's results are independent of the weather. It explains that the chi-square test is used to determine if there is a significant association between two categorical variables. The procedure involves defining hypotheses, selecting a significance level, calculating the test statistic by summing the squared differences between observed and expected values divided by expected values, comparing the test statistic to a critical value, and making a conclusion about whether to reject or accept the null hypothesis. For the example, the calculated test statistic is less than the critical value, so the null hypothesis that the team's results are independent of the weather is accepted.
Hypothesis testing , T test , chi square test, z test Irfan Ullah
- The document discusses hypothesis testing and the p-value approach, which involves specifying the null and alternative hypotheses, calculating a test statistic, determining the p-value, and comparing it to the significance level α to determine whether to reject or accept the null hypothesis.
- It also discusses type I and type II errors, degrees of freedom as the number of independent pieces of information, and chi-square and t-tests as statistical tests.
Biostatistics exam questions by tadele girumTadele Girum
This document contains a 30-question biostatistics exam prepared by Tadele Girum for Wolkite University students. It includes multiple choice and essay questions testing concepts like measures of central tendency, normal distributions, percentiles, probability, binomial experiments, and interpreting graphs and tables of data. An additional 12 question exam is provided focusing on probability, normal distributions, and interpreting normal curve parameters.
1) The chi-square test of independence is used to determine if there is a relationship between two categorical variables. It compares observed frequencies to expected frequencies if the null hypothesis of independence is true.
2) A contingency table is constructed with the observed frequencies. Expected frequencies are calculated for each cell based on row and column totals and the grand total.
3) The chi-square statistic is calculated by summing the squared differences between observed and expected frequencies divided by the expected frequency for each cell. This value is then compared to a critical value from the chi-square distribution to determine if the null hypothesis should be rejected.
Small sample theory deals with statistical inference when sample sizes are small (n ≤ 30). It involves t and F distributions which are defined in terms of degrees of freedom. The t-distribution was developed by William Gosset and is used when sample sizes are small. It has a bell shape but is more spread out than the normal distribution. The F-distribution is used to test if two variances are equal and is defined as the ratio of two chi-square variables. Both distributions depend on degrees of freedom.
Overview of Advance Marketing ResearchEnamul Islam
This document provides information on frequency distributions, cross-tabulation, hypothesis testing, and analysis of variance. It defines key terms like frequency distribution, measures of location and variability, cross-tabulation, chi-square test, and one-way ANOVA. It also outlines the general procedures for hypothesis testing and conducting one-way ANOVA, including decomposing total variation, measuring effects, and interpreting results.
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 8: Hypothesis Testing
8.1: Basics of Hypothesis Testing
Tests of significance are statistical methods used to assess evidence for or against claims based on sample data about a population. Every test of significance involves a null hypothesis (H0) and an alternative hypothesis (Ha). H0 represents the theory being tested, while Ha represents what would be concluded if H0 is rejected. A test statistic is computed and compared to a critical value to either reject or fail to reject H0. Type I and Type II errors can occur. Steps in hypothesis testing include stating hypotheses, selecting a significance level and test, determining decision rules, computing statistics, and interpreting the decision. Hypothesis tests are used to answer questions about differences in groups or claims about populations.
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 9: Inferences from Two Samples
9.3 Two Means, Two Dependent Samples, Matched Pairs
Powerpoint Lecture Notes: Estimation and Hypothesis Testing (One Population)
Content created by Linda Williams of Tidewater Community College for Z Degree Project, originally published at http://www.slideshare.net/LumenLearning/module-9-lecture-notes under a CC BY-NC-SA license.
This document discusses hypothesis testing, including the three main methods: traditional, p-value, and confidence interval. It describes the null and alternative hypotheses and different types of tests. The key steps in hypothesis testing using the traditional method are outlined. Formulas are provided for the z-test, t-test, test for a proportion, and chi-square test. Assumptions for these tests and the relationship between confidence intervals and hypothesis testing are also summarized.
Testing of Hypothesis and Goodness of Fit
This document discusses hypothesis testing and goodness of fit. It defines hypothesis testing as a procedure to determine if sample data agrees with a hypothesized population characteristic. The key steps are stating the null and alternative hypotheses, selecting a significance level, determining the test distribution, defining rejection regions, performing the statistical test, and drawing a conclusion. Common hypothesis tests discussed include the Student's t-test and chi-square test of goodness of fit.
The document discusses key concepts in estimation theory including point estimation, interval estimation, and sample size determination. Point estimation involves calculating a single value to estimate an unknown population parameter. Interval estimation provides a range of values that the population parameter is likely to fall within. Sample size is important for balancing statistical power and cost; larger samples improve precision but also increase expenses. The document outlines methods for constructing confidence intervals for means, proportions, and differences between parameters.
This course syllabus outlines an introductory psychology course for first semester nursing students. The course will help students understand human behavior, attitudes, and responses through examining concepts like consciousness, memory, perception, personality development, social behavior, and biological and psychological perspectives. Upon completion, students will be able to discuss modern psychological approaches and relate concepts of personality and lifespan development to abnormal psychology.
This document provides instructions for exercises related to summarizing a physical examination. It begins by stating the purpose is to complete the exercises by selecting or writing answers. It then lists 13 multiple choice or fill-in-the-blank questions about the physical examination process, including purposes of examinations, appropriate draping and positioning of patients, and body systems typically examined. The document concludes by providing the answers to the questions to check responses.
This document appears to be a multiple choice quiz on quantitative techniques and statistics. It contains 36 multiple choice questions covering topics like correlation, normal distributions, probability, hypothesis testing, and regression. The questions range from calculating probabilities and percentages to identifying statistical concepts and relationships between variables based on data provided.
The document discusses the concept of degrees of freedom. It provides definitions from various statistics textbooks and dictionaries. Degrees of freedom refers to the number of independent variables or pieces of information in a sample. The document also gives everyday examples to help explain degrees of freedom, such as dividing up time among tasks. Finally, it discusses statistical applications of degrees of freedom, such as in calculating sample variance, t-tests, ANOVA, and regression analysis.
The document discusses testing for independence between two variables using a contingency table and chi-square test. It explains how to set up a contingency table with observed and expected frequencies, and how to calculate the chi-square test statistic to determine if the variables are independent or dependent. An example is provided that tests if blood pressure is independent of jogging status using a contingency table and chi-square test.
This document contains a quiz on statistics concepts. It includes 43 multiple choice questions covering topics such as the definition of statistics, types of variables, methods of data collection and presentation, classification of data, frequency distributions, diagrams and charts. The questions assess understanding of key statistical terminology and how to represent and analyze various types of data.
Stat 130 chi-square goodnes-of-fit testAldrin Lozano
- The chi-square goodness-of-fit test can be used to determine if a frequency distribution fits a specific pattern or theoretical distribution. It compares observed frequencies to expected frequencies.
- To perform the test, the chi-square statistic is calculated using the formula (O-E)^2/E, where O is the observed frequency and E is the expected frequency. This value is then compared to a critical value from the chi-square distribution based on the degrees of freedom.
- If the chi-square statistic exceeds the critical value, the null hypothesis that the observed and expected frequencies are the same is rejected, indicating a poor fit between the observed and expected distributions.
Hypothesis testing chi square test for independenceNadeem Uddin
This document discusses how to conduct a chi-square test for independence using an example of testing whether a sports team's results are independent of the weather. It explains that the chi-square test is used to determine if there is a significant association between two categorical variables. The procedure involves defining hypotheses, selecting a significance level, calculating the test statistic by summing the squared differences between observed and expected values divided by expected values, comparing the test statistic to a critical value, and making a conclusion about whether to reject or accept the null hypothesis. For the example, the calculated test statistic is less than the critical value, so the null hypothesis that the team's results are independent of the weather is accepted.
Hypothesis testing , T test , chi square test, z test Irfan Ullah
- The document discusses hypothesis testing and the p-value approach, which involves specifying the null and alternative hypotheses, calculating a test statistic, determining the p-value, and comparing it to the significance level α to determine whether to reject or accept the null hypothesis.
- It also discusses type I and type II errors, degrees of freedom as the number of independent pieces of information, and chi-square and t-tests as statistical tests.
Biostatistics exam questions by tadele girumTadele Girum
This document contains a 30-question biostatistics exam prepared by Tadele Girum for Wolkite University students. It includes multiple choice and essay questions testing concepts like measures of central tendency, normal distributions, percentiles, probability, binomial experiments, and interpreting graphs and tables of data. An additional 12 question exam is provided focusing on probability, normal distributions, and interpreting normal curve parameters.
1) The chi-square test of independence is used to determine if there is a relationship between two categorical variables. It compares observed frequencies to expected frequencies if the null hypothesis of independence is true.
2) A contingency table is constructed with the observed frequencies. Expected frequencies are calculated for each cell based on row and column totals and the grand total.
3) The chi-square statistic is calculated by summing the squared differences between observed and expected frequencies divided by the expected frequency for each cell. This value is then compared to a critical value from the chi-square distribution to determine if the null hypothesis should be rejected.
Small sample theory deals with statistical inference when sample sizes are small (n ≤ 30). It involves t and F distributions which are defined in terms of degrees of freedom. The t-distribution was developed by William Gosset and is used when sample sizes are small. It has a bell shape but is more spread out than the normal distribution. The F-distribution is used to test if two variances are equal and is defined as the ratio of two chi-square variables. Both distributions depend on degrees of freedom.
Overview of Advance Marketing ResearchEnamul Islam
This document provides information on frequency distributions, cross-tabulation, hypothesis testing, and analysis of variance. It defines key terms like frequency distribution, measures of location and variability, cross-tabulation, chi-square test, and one-way ANOVA. It also outlines the general procedures for hypothesis testing and conducting one-way ANOVA, including decomposing total variation, measuring effects, and interpreting results.
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 8: Hypothesis Testing
8.1: Basics of Hypothesis Testing
Tests of significance are statistical methods used to assess evidence for or against claims based on sample data about a population. Every test of significance involves a null hypothesis (H0) and an alternative hypothesis (Ha). H0 represents the theory being tested, while Ha represents what would be concluded if H0 is rejected. A test statistic is computed and compared to a critical value to either reject or fail to reject H0. Type I and Type II errors can occur. Steps in hypothesis testing include stating hypotheses, selecting a significance level and test, determining decision rules, computing statistics, and interpreting the decision. Hypothesis tests are used to answer questions about differences in groups or claims about populations.
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 9: Inferences from Two Samples
9.3 Two Means, Two Dependent Samples, Matched Pairs
Powerpoint Lecture Notes: Estimation and Hypothesis Testing (One Population)
Content created by Linda Williams of Tidewater Community College for Z Degree Project, originally published at http://www.slideshare.net/LumenLearning/module-9-lecture-notes under a CC BY-NC-SA license.
This document discusses hypothesis testing, including the three main methods: traditional, p-value, and confidence interval. It describes the null and alternative hypotheses and different types of tests. The key steps in hypothesis testing using the traditional method are outlined. Formulas are provided for the z-test, t-test, test for a proportion, and chi-square test. Assumptions for these tests and the relationship between confidence intervals and hypothesis testing are also summarized.
Testing of Hypothesis and Goodness of Fit
This document discusses hypothesis testing and goodness of fit. It defines hypothesis testing as a procedure to determine if sample data agrees with a hypothesized population characteristic. The key steps are stating the null and alternative hypotheses, selecting a significance level, determining the test distribution, defining rejection regions, performing the statistical test, and drawing a conclusion. Common hypothesis tests discussed include the Student's t-test and chi-square test of goodness of fit.
The document discusses key concepts in estimation theory including point estimation, interval estimation, and sample size determination. Point estimation involves calculating a single value to estimate an unknown population parameter. Interval estimation provides a range of values that the population parameter is likely to fall within. Sample size is important for balancing statistical power and cost; larger samples improve precision but also increase expenses. The document outlines methods for constructing confidence intervals for means, proportions, and differences between parameters.
This course syllabus outlines an introductory psychology course for first semester nursing students. The course will help students understand human behavior, attitudes, and responses through examining concepts like consciousness, memory, perception, personality development, social behavior, and biological and psychological perspectives. Upon completion, students will be able to discuss modern psychological approaches and relate concepts of personality and lifespan development to abnormal psychology.
This document provides instructions for exercises related to summarizing a physical examination. It begins by stating the purpose is to complete the exercises by selecting or writing answers. It then lists 13 multiple choice or fill-in-the-blank questions about the physical examination process, including purposes of examinations, appropriate draping and positioning of patients, and body systems typically examined. The document concludes by providing the answers to the questions to check responses.
This document contains a 51 question multiple choice test on cardiac medicine and coronary artery disease. The test covers topics such as risk factors for and treatments of coronary artery disease including medications, procedures like cardiac catheterization and angioplasty, and symptoms. Multiple choice questions address concepts like the cardiac cycle, blood pressure regulation, electrocardiograms, and specific conditions like angina, myocardial infarction and hypertension.
The document summarizes the structure and function of the genitourinary tract. It discusses the kidneys, ureters, bladder, and urethra. It describes urine formation and the roles of the kidneys in regulating blood pressure and fluid/electrolyte balance. Common genitourinary disorders are also outlined, including urinary tract infections like cystitis and pyelonephritis. Acute and chronic renal failure are summarized as well as conditions like nephrolithiasis. Nursing management of related issues is briefly discussed.
1) The document discusses perioperative nursing, including types of surgical procedures, classifications of procedures, informed consent, preoperative medications and teachings, and the surgical team.
2) It also discusses postoperative complications involving various body systems like respiratory, circulatory, and wounds. Principles of surgical asepsis and PACU/RR care are outlined.
3) Oncology nursing is discussed, differentiating benign and malignant neoplasms. Recommendations for cancer screening and warning signs of cancer are provided. Internal radiation therapy and nursing management are summarized.
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldabaux singapore
How can we take UX and Data Storytelling out of the tech context and use them to change the way government behaves?
Showcasing the truth is the highest goal of data storytelling. Because the design of a chart can affect the interpretation of data in a major way, one must wield visual tools with care and deliberation. Using quantitative facts to evoke an emotional response is best achieved with the combination of UX and data storytelling.
This document summarizes a study of CEO succession events among the largest 100 U.S. corporations between 2005-2015. The study analyzed executives who were passed over for the CEO role ("succession losers") and their subsequent careers. It found that 74% of passed over executives left their companies, with 30% eventually becoming CEOs elsewhere. However, companies led by succession losers saw average stock price declines of 13% over 3 years, compared to gains for companies whose CEO selections remained unchanged. The findings suggest that boards generally identify the most qualified CEO candidates, though differences between internal and external hires complicate comparisons.
Statistics
Summer 2019
Name: Cindy Charles
Multiple choice section:
1. A researcher is interested in studying the eating behavior of a rats and selects a group of 25 rats to be tested in a research study. The group of 25 rates is an example of a
a. sample
.
b. statistic
c. population
d. parameter
2. A researcher uses an anonymous survey to investigate the study habits of the American college students. The entire group of American college students is an example of a
a. sample
.
b. statistic
c. population
d. parameter
3. A characteristic, usually a numerical value, that describes a sample is called a
a. sample
.
b. statistic
c. population
d. parameter
4. Determining the class standing for the graduating seniors at a high school would involve measurement on a(n) ____________ scale of measurement.
a. nominal
.
b. ordinal
c. interval
d. ratio
5. A researcher conducts a study to determine whether moderate doses of St. John’s Wort have any effect on memory in college students. For this study, with is the independent variable?
a. the amount of St. John’s Wort given to each participant.
b. the memory score for each participant
c. the group of college students
d. cannot answer without more information.
6. When we are interested in simply looking at the association or relationship between two contiguous variables as they exist naturally , the following research method is likely to be helpful:
a. correlational
b. experimental
c. quasi-experimental
d. non-parametric
7. In an experiment looking at the effect of eating varied levels of multiple portions of ice cream, daily, on blood serum cholesterol levels (HDL)
a. eating ice cream is the independent variable (IV) and HDL is the dependent variable (DV).
b. ice cream, the DV and HDL, the IV
c. neither, this is a correlational study
d. ice cream and HDL are both independent variables
8. “Girl, boy, girl, girl, boy, boy, boy, girl. So, there’s 4 girls and 4 boys.” Our enumerator is employing which of the following scales
a. ratio
b. sex differential
c. interval
d. nominal
9. “I came in first place in the “Best Statistics Professor” category. That clearly shows I am much better at this than most other professors on campus.”
a. This is a reasonable conclusion, since first place in Statistics must be a higher rating than, say, third place in Multicultural Education.
b. The speaker mistakenly attributes arithmetic characteristics to ordinal data.
c. The statement has absolutely no meaning, since we do not know the number of other professors on campus or teaching statistics. It represents an example of the absolute or ratio scale.
d. The interval scale applies here, because voters used a relative standar.
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When it comes to information and communication technologies, we employ state-of-the-art and latest tools and technology to connect with students and expert tutors. Students from various countries including the USA, UK, Canada, UAE and Australia have used our services for the past several years to achieve excellence in their academic and professional pursuits. Statisticsassignmentexperts.com works closely with its strong and dynamic team of subject experts to create new models for exchange of information, in consonance with the changing needs of students as well as academic and professional programs.
test 3 AAMultiple ChoiceIdentify the choice that best comple.docxmattinsonjanel
test 3 AA
Multiple Choice
Identify the choice that best completes the statement or answers the question.
____ 1. For an ANOVA comparing three treatment conditions, what is stated by the alternative hypothesis (H1)?
a.
There are no differences between any of the population means.
b.
At least one of the three population means is different from another mean.
c.
All three of the population means are different from each other.
d.
None of the other choices is correct.
____ 2. On average, what value is expected for the F-ratio if the null hypothesis is true?
a.
0
c.
k – 1
b.
1.00
d.
N – k
____ 3. A research study comparing three treatments with n = 5 in each treatment produces T1 = 5, T2 = 10, T3 = 15, with SS1 = 6, SS2 = 9, SS3 = 9, and SX2 = 94. For this study, what is SSbetween?
a.
10
c.
34
b.
24
d.
68
____ 4. An analysis of variance produces SSbetween = 30, SSwithin = 60, and an F-ratio with df = 2, 15. For this analysis, what is the F-ratio?
a.
30/60 = 0.50
c.
15/4 = 3.75
b.
60/30 = 2.00
d.
4/15 = 0.27
____ 5. If an analysis of variance is used for the following data, what would be the effect of changing the value of M1 to 20?
Sample Data
M1 = 15 M2 = 25
SS1 = 90 SS2 = 70
a.
Increase SSbetween and increase the size of the F-ratio
b.
Increase SSbetween and decrease the size of the F-ratio
c.
Decrease SSbetween and increase the size of the F-ratio
d.
Decrease SSbetween and decrease the size of the F-ratio
____ 6. In general, what factors are most likely to reject the null hypothesis for an ANOVA?
a.
Small mean differences and small variances
b.
Small mean differences and large variances
c.
Large mean differences and small variances
d.
Large mean differences and large variances
____ 7. A two-factor study with two levels of factor A and three levels of factor B uses a separate group of n = 5 participants in each treatment condition. How many participants are needed for the entire study?
a.
5
c.
25
b.
10
d.
30
____ 8. The following data represent the means for each treatment condition in a two-factor experiment. Note that one mean is not given. What value for the missing mean would result in no A´B interaction?
B1 B2
A1
20
30
A2
10
?
a.
10
c.
30
b.
20
d.
40
____ 9. If a two-factor analysis of variance produces a statistically significant interaction, what can you conclude about the main effects?
a.
Either the main effect for factor A or the main effect for factor B is also significant
b.
Both the man effect for factor A and the main effect for factor B are significant
c.
Neither the main effect for factor A nor the main effect for factor B is significant
d.
The significance of the main effects is not related to the significance of the interaction
____ 10. What is indicated by a positive value for a correlation?
a.
Increases in X tend to be accompanied by increases in Y
b.
Increases in X tend to be accompanied by decreases in Y
c.
A much ...
1. The researcher using inferential statistics always makes predic.docxheiditownend
1. The researcher using inferential statistics always makes predictions that
are based on having measured
a. a population
b. a sample
c.
the entire group being predicted
d.
in inferential statistics predictions are never made
2. The goal of the researcher using inferential statistics is to
a.
make better-than-chance predictions
b.
predict the characteristics of the entire group, based on measures taken
on a smaller group
c.
describe the difference between the highest and lowest score
d.
a and b, but not c
3. An example of a variable would be
a.
height
b.
weight
c.
the number of inches in a foot
d.
a and b, but not c
4. Anything that can be measured and observed to vary is called
a.
a constant
b.
a variable
c.
an integer
d.
all of these
5. The statement that one can prove anything with statistics is only true when
a.
the data have been faked
b.
the reader is naive regarding statistical procedures
c.
the statement is always true
d.
the statement is never true
6. The first attempt to employ statistical techniques for estimating
population parameters was designed in order to
a.
estimate beer-drinking tastes in Dublin, Ireland
b.
calculate the odds for casino gambling in France
c.
calculate the probability of certain exponential functions
d.
all of these
7. The first attempt to employ probability theory in a practical setting was
developed in order to
a.
predict the results of presidential elections
b.
predict economic forces in the market place
c.
predict how consumers will evaluate new products
d.
make winning bets in the gambling casinos
8. One author suggests that the best way to compare the safety of autos versus planes is on the basis of
a. the total number of deaths per year for each mode of travel
b. the total number of individuals who drive versus fly.
c. the per-hour death rate for the two modes of travel
d. none of these, since travel rates are not comparable.
9. In comparing the safety of allowing children to visit friends whose parents
own a gun versus those parents who have a swimming pool, it was found that
a. there was no safety difference between the two
b. children were safer at the homes with swimming pools
c.
children were safer at the homes with guns
d.
more parents had guns than swimming pools
10. Since poll results are based on a sample size which is less than the population size, generalizing from the sample to the population demands
a.
data graphing
b. inferential statistics
c. descriptive statistics only
d.
leap of faith
11. The commercial that specifies that a certain brand of aspirin should be used, since no other brand prevents more heart attacks
proves
that
a.
the brand mentioned prevents more heart attacks than does its competition
b.
the brand mentioned has been proven to prevent heart attacks
c.
the brand mentioned has only been shown .
The document contains a 20 question pre-test on elementary statistics and probability. The questions cover topics such as possible outcomes of tossing coins, identifying discrete random variables, probability distributions, means, normal distributions, sampling, and probability word problems.
This document provides the questions and answers for a 30 question multiple choice statistics final exam, with the questions covering topics like descriptive statistics, levels of measurement, measures of central tendency, probability, probability distributions, hypothesis testing, and comparing samples. It guarantees getting all 30 questions correct if you select the provided answers.
QNT 351 Final Exam Answers 2015 versionvincenzwhaley
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers 2015 versioncelestiaorias
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers 2015 versioncelestiaorias
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers 2015 versioncelestiaorias
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers 2015 versioncelestiaorias
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers 2015 versionmahallbethena
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers 2015 versioncelestiaorias
This document contains 30 multiple choice questions from the QNT 351 Final Exam along with the answers. The questions cover topics in descriptive statistics including levels of measurement, measures of central tendency, probability distributions, hypothesis testing, and correlation. This exam tests students' understanding of foundational quantitative analysis concepts and techniques.
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers 2015 versionmalenasugar
This document contains 30 multiple choice questions from the QNT 351 Final Exam along with the answers. The questions cover topics in descriptive statistics including levels of measurement, measures of central tendency, probability distributions, hypothesis testing, and correlation. This exam tests students' understanding of key concepts in quantitative analysis and helps evaluate their mastery of the course material.
QNT 351 Final Exam Answers 2015 versionmahallbethena
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers 2015 versionvincenzwhaley
This document contains 30 multiple choice questions from the QNT 351 Final Exam along with the answers. The questions cover topics in descriptive statistics including levels of measurement, measures of central tendency, probability distributions, hypothesis testing, and correlation. This exam tests students' understanding of foundational quantitative analysis concepts and techniques.
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
QNT 351 Final Exam Answers
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of
Does Over-Masturbation Contribute to Chronic Prostatitis.pptxwalterHu5
In some case, your chronic prostatitis may be related to over-masturbation. Generally, natural medicine Diuretic and Anti-inflammatory Pill can help mee get a cure.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Kat...rightmanforbloodline
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TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
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These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
TEST BANK For An Introduction to Brain and Behavior, 7th Edition by Bryan Kol...rightmanforbloodline
TEST BANK For An Introduction to Brain and Behavior, 7th Edition by Bryan Kolb, Ian Q. Whishaw, Verified Chapters 1 - 16, Complete Newest Versio
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Histololgy of Female Reproductive System.pptxAyeshaZaid1
Dive into an in-depth exploration of the histological structure of female reproductive system with this comprehensive lecture. Presented by Dr. Ayesha Irfan, Assistant Professor of Anatomy, this presentation covers the Gross anatomy and functional histology of the female reproductive organs. Ideal for students, educators, and anyone interested in medical science, this lecture provides clear explanations, detailed diagrams, and valuable insights into female reproductive system. Enhance your knowledge and understanding of this essential aspect of human biology.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
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Part II - Body Grief: Losing parts of ourselves and our identity before, duri...
Guess paper biostate
1. Guess paper bio
1. A subset of all the measurement of interest is
a. Population
b. Sample
c. Sampling unit
d. None/***
2. All of the following are example of qualitative data except:
a. Age
b. Sex
c. Education level
d. Socioeconomic status
3. Following are the example of quantitative data except :
a. Height
b. Weight
c. Temperature.
d. Gender
Scenario:
A survey was conducted by 2nd year BScN students to investigate the current situation of
nursing profession in Pakistan. Some of the variables were gender, level of education,
ethnicity, and place of domicile, age, marital status and employment status.
Q no 4-6 are related to above scenario.
4. The appropriate graph to display marital status married, unmarried ,divorced is :
a. Frequency polygon
b. Scatter plot
c. Pie chart
d. Histogram
5. The level of education is :
a. Nominal data
b. Ordinal data
c. Discrete data
d. None of the above
6. The best way to display age data is to draw
a. Histogram
b. Bar Chart
c. Both a & b
d. None
7. Mean as the measure of central tendency can be calculated for all of the following except:
a. Blood Pressure
b. Age
c. Weight
d. Marital status
8. Which one is true for empirical rule :
a. µ ± 1SD= 60%
b. µ ± 1SD= 70%
c. µ ± 1SD= 65%
d. µ ± 1SD= 68%
9. Following are true for mean except :
a. Applicable for continues data
b. Not applicable for qualitative data
c. Affected by each value in data set
d. Do not effected by extreme value
10. The most frequently occurring observation is :
2. Guess paper bio
a. Mean
b. Mode
c. Median
d. Standard deviation
11. When the distribution of data is skewed one should ideally used:
a. Mean
b. Mode
c. Median
d. Standard deviation
12. All of the following are true for the measure of dispersion except:
a. Mean
b. Range
c. Interqantrile range
d. Variance
13. Sample standard deviation is represented by symbol :
a. S
b. S2
c. X
d. Ω
14. Z score is calculated for :
a. Standard normal distribution
b. Chi Square test
c. T. distribution
d. Normal distribution
15. Normal distribution curve the mean of the data lie in
a. Right end
b. Left end
c. Centre
d. None
16. Parameter of standard normal distribution are
a. Mean
b. Standard deviation
c. Range
d. Both a &b
17. All are the following are true for standard normal distribution except:
a. Mean =50
b. Z score
c. Total curve =1
d. Negative Z between mean
18. When mean median mode lie in the center of the curve the distribution is known as :
a. Normal
b. Right Skewed
c. Left Skewed
d. Chi square
19. What is the relationship between standard deviation and variance:
a. Variance =√ 𝑠𝑡𝑎𝑛𝑑𝑎𝑟𝑑 𝑑𝑒𝑎𝑣𝑖𝑎𝑡𝑖𝑜𝑛
b. Variance = standard deviation/n
c. Variance = standard deviation2
d. None of the above
20. 1st step in calculating median is :
a. Calculate range
b. Arrange data
c. Count the data
d. None of the above
3. Guess paper bio
21. What is true for descriptive statistics :
a. Organization and displaying of data
b. Drawing inferences for population
c. Hypothesis testing
d. Calculating P value
22. Positive Z score shows that :
a. Observation is below mean
b. Observation is above mean
c. The observation is = mean
d. None
23. In the percentile the whole area under the curve is divided into:
a. 10 equal parts
b. 50 equal parts
c. 100 equal parts
d. None of the above
24. Percentile represent :
a. A position in a given distribution
b. A percentage
c. Both a & b
d. None of the above
25. The best way to display Age data is to draw;
a. Histogram
b. Bar chart
c. Both a & b
d. None of these
26. What is true for descriptive statistics;
a. Organization & displaying of data
b. Drawing inferences for population
c. Hypothesis testing
d. Calculation p-value
27. A portion of the population selected for study is referred to as:
a. a sample
b. parameter
c. Hypothesis.
d. Random variable.
28. First step in calculating median is;
a. Calculate range
b. Arrange data
c. Count the data
d. None of these
29. Classification of objects or persons into classes or groups in such a way that only one object or
person falls in only one group at a time is called as;
a. Mutually exclusive
b. None Mutually exclusive
c. Dependent
d. Independent
30. The mean of the square deviation about mean is known as;
a. Mean
b. Median
c. Variance
d. Standard deviation
4. BIOSTATISTICS 4
31. In normal distribution curve, mean of the data lie on the
a. Right end
b. Centre
c. Left end
d. None of these
32. When two dice and a single coin are tossed together then total sample spaces will be;
a. 36
b. 14
c. 24
d. 72
33. The sum of the absolute deviation about mean is always:
a. Positive.
b. Negative
c. Zero and negative both at a time
d. Zero
34. For a group data the class interval having maximum frequency is known as
a. Median class
b. Mode
c. Median
d. Model class
35. Chi-square test is always used to test;
a. Population mean
b. Population median
c. Test ofassociation
d. None of these
36. The sample mean x is known as the point estimator of the population;
a. Median
b. Mode
c. Variance
d. Mean µ
37. Estimation is the process of estimating parameters on the basis of;
a. Parameters
b. Statistics
c. A and B
d. None of the above
38. A type of qualitative data where zero is not fixed (arbitrary) termed as;
a. Discrete
b. Continuous
c. Ratio
d. Interval
39. Level of education is;
a. Nominal data
b. Ordinal data
c. Discrete data
d. None of these
40. Skewness is a measure:
a. of the asymmetry ofthe probability distribution
b. which decides whether the distribution may have high or low variance
c. of centraltendency
5. BIOSTATISTICS 5
d. None of the above
41. When explaining the direction of the linear association between two numerical paired variables, a
positive correlation is stated when:
a. One variable increases and the other variable decreases or vice versa.
b. dependent variable increases and independent variable decreases
c. Both variables increase and decrease at the same time.
d. Correlation coefficient is stated close to 0.
42. The null hypothesis is:
a. The assumption that there is a relationship or difference between the variables you are
testing.
b. The pattern between the variables you are testing.
c. The assumption there is no relationship or difference between the variables you are
testing.
d. The assumption that a significant result is unlikely
43. Following all are true for mean EXCEPT;
a. Applicable for continuous data
b. Not applicable for qualitative data
c. Do not affect by extraneous values
d. Affected by each value in data set
44. The null hypothesis is:
a. The assumption that a significant result is unlikely.
b. The pattern between the variables you are testing.
c. assumption that there is a relationship or difference between the variables you are
testing
d. Assumption there is no relationship or difference between the variables you are testing.
45. How can p<.05 be interpreted?
a. There is a 5% chance of you making a type one error.
b. There is a less than 1 in 20 probability of the result occurring by chance alone if the null
hypothesis were true.
c. Probability of obtaining the data if the null hypothesis were true is less than 5%.
d. All of the above.
46. Which statement about normal distribution is FALSE:
a. 50 percent ofthe observations fall within one standard deviation sigma ofthe mean.
b. 68 percent of the observations fall within one standard deviation sigma of the mean.
c. 95 percent of observation falls within 2 standard deviations.
d. 99.7 percent of observations fall within 3 standard deviations of the mean.
47. Normal curve represents distribution where ____,____,and____ are equalto each other.
a. range / standard deviation / variance
b. mean / median / standard deviation
c. mode/ median / standard deviation
d. mean / median / mode
48. What percentage of scores will fall between –3 and +3 standard deviations in a normal distribution?
a. 99.7%
b. 95%
c. 68 %
d. 50%
49. Which one the formula is used for df in chi-squire distribution;
a. (row)(column)
b. (row-column)
6. BIOSTATISTICS 6
c. (row-1)(column-1)
d. (row-1)(column)
50. In all research analysis it is not possible to study whole population, we always estimate population
parameters on the basis of;
a. Population information
b. Sample information
c. We could not estimate parameters
d. Estimation of samples
51. Chi-quire test of significance is used when;
a. Data is continuous
b. Data is categorical
c. Data is discrete
d. None of these
52. When two dice and a single coin are tossed together then total sample spaces will be;
a. 36
b. 14
c. 24
d. 72
53. The minimum d.f for the Chi-square test of independence or association is always;
a. 0
b. 1
c. 2
d. N-1
54. Mean is the measure of centraltendency can be calculated for all of the following except;
a. Age
b. Weight
c. Systolic BP
d. Marital status
55. Which one is formula for empirical rule
a. µ± 1SD = 60%
b. µ± 1SD = 65%
c. µ± 1SD = 68%
d. µ± 1SD = 70%
56. First step in calculating median is;
a. Calculate range
b. Arrange data
c. Count the data
d. None of these
57. Appropriate graph to display marital status (Married, Unmarried, Divorced, widow) is;
a. Frequency polygon
b. Scatter plot
c. Pie chart
d. Histogram
58. The best way to display Age data is to draw;
a. Histogram
b. Bar chart
c. Both a & b
d. None of these
59. In a contingency table with 4 rows and 6 columns then degree of freedom is
a. 15
7. 7
b. 24
c. 4
d. 6
60. Probability values fall on scale between:
a. -1 to +1
b. 0 and 1.
c. -3 to + 3
d. 0.05 to 0.01
61. In a contingency table with 4 rows and 6 columns then degree of freedom is
a. 15
b. 24
c. 4
d. 6
62. The variable which is influenced by the intervention of the researcher is called:
a. Independent
b. Dependent
c. Discrete
d. Extraneous
63. Gender, age-class,religion, type of disease, and blood group are measured on;
a. Nominal Scale
b. Ordinal Scale
c. Interval Scale
d. Ratio Scale
64. The minimum size of a Contingency table is : ---------------
a. 1×1
b. 2×2
c. 10×10
d. No minimum size
65. Appropriate graph to display marital status (Married, Unmarried, Divorced, widow) is;
a. Frequency polygon
b. Scatter plot
c. Pie chart
d. Histogram
66. Z score is a type of ____________ score.
a. Outlier
b. Standard
c. Normalized
d. T
67. In testing hypothesis we use different level of significance to test Ho , in most situations level of
significance is not given then we have to use;
a. 1 %
b. 2 %
c. 5%
d. 10%
68. The normal curve is also called a
a. Bell-shaped curve
b. Triangular curve
c. Even curve
8. 8
d. S-curve
69. P-value is the probability of the calculated value, if p-value is zero then we reject the oH after
comparing with;
a. Level ofsignificance
b. Critical value
c. d.f
d. sample size
70. A contingency table (2x2) is used to calculate:
a. t-statistic
b. correlation coefficient
c. variance
d. chi-squire statistic
71. A contingency table (2x2) is used to calculate:
a. t-statistic
b. correlation coefficient
c. variance
d. chi-squire statistic
72. The given formula is used to calculate: (O= Observed frequency, E= Expected frequency)
a. t-test
b. chi-squire statistic
c. correlation coefficient
d. Standard deviation
73. Probability values fall on scale between:
a. -1 to +1
b. 0 and 1.
c. -3 to + 3
d. 0.05 to 0.01
74. Which is NOT a characteristic of normal distribution?
a. Symmetric
b. Bell-shaped
c. Mean = median = mode
d. Negative skewness
75. Which of the following describe the middle part of a group of numbers?
a. Measure of Variability
b. Measure of Central Tendency
c. Measure of Association
d. Measure of Shape
76. According to the empirical rule, approximately what percent of the data should lie within
μ±2σ?
a. 68%
b. 99.7%
c. 90%
d. 95%
77. The sum of the deviations about the mean is always:
a. Range
b. Zero
c. Total Standard Deviation
d. Positive
9. 9
9
e. Negative
78. The middle value of an ordered array of numbers is the
a. Mode
b. Mean
c. Median
d. Midpoin
79. Which of the following is not a measure of central tendency?
a. Percentile
b. Quartile
c. Standard deviation
d. Mode
80. Which of the following divides a group of data into four subgroups?
a. Percentiles
b. Deciles
c. Median
d. Quartiles
81. If the standard deviation of a population is 9, the population variance is:
a. 9
b. 3
c. 21
d. 81
82. If a distribution is abnormally tall and peaked, then is can be said that the distribution is:
a. leptokurtic
b. Pyrokurtic
c. Platykurtic
d. Mesokurtic
83. Sum of dots when two dice are rolled is
a. Discrete variable
b. Continuous variable
c. Constant
d. Qualitative variable
84. The weights of students in a college/school is a
a. Discrete Variable
b. Continuous Variable
c. Qualitative Variable
d. None of these
85. Following all are true for mean EXCEPT;
a. Applicable for continuous data
b. Not applicable for qualitative data
c. Do not affect by extraneous values
d. Affected by each value in data set
86. The most frequent occurring observation is
10. 10
10
a. Mean
b. Median
c. Mode
d. SD
87. The standard deviation divided by the mean of the measurements equals is known as:
a. Standard Deviation
b. The coefficient of variation
c. Variance
d. Zero
88. Large standard deviations suggest that:
a. Scores are probably widely scattered.
b. There is very little deference among scores.
c. mean, median and mode are the same
d. The scores not normally distributed.
89. Sample SD is denoted by;
a. S
b. S2
c. 2
e.
90. A measure of dispersion of a set of observations in which it is calculated by the difference
between the highest and lowest values produced is called:
a. Standard deviation
b. Variance
c. Range
d. Mode
91. A measure used to standardize the central tendency away from the mean across different
a sample is:
a. skewness
b. Range
c. Z-score
d. Mode
92. When the distribution of data is skewed, one should ideally use;
a. Mean
b. Median
c. Mode
d. None of these
93. The area under normal distribution curve is;
a. 1
b. 0.5
c. 0
d. None of these
94. Negative z-score shows that;
a. Observation is below to mean
b. Observation is above to mean
11. 11
11
c. Observation is equal to mean
d. None of these
95. Z-core is calculated for;
a. Chi-quire distribution
b. Standard normal distribution
c. T-distribution
d. Normal distribution
96. A major purpose of doing research is to infer, or generalize, from a sample to a larger
population this method is known as:
a. Testing of hypothesis
b. Sampling Design
c. Measures of dispersion
d. Probability
97. Statistical approach which helps the investigator to decide whether the outcome of the
study is a
result of factors planned within design of the study or determined by chance is called:
a. Descriptive statistics
b. Inferential statistics
c. Normal distribution
d. Standard deviation
98. Which one the formula is used for df in chi-squire distribution;
a. (row)(column)
b. (row-column)
c. (row-1)(column-1)
d. (row-1)(column)
99. When we make a 95% confidence interval for the population mean using t or z test then
probability or chance of error will be;
a. 0.05
b. 0.1
c. 5
d. 10
100. Statisticisa numerical quantity,whichiscalculatedfrom:
a. Population
b. Sample
c. Data
d. Observations
12. 12
12
102. Data in the Population Census Report is:
a. Grouped data
b. Ungrouped data
c. Primary data
d. Arrayed data
103. In inferential statistics, we study
a. The methods to make decisions about population based on sample results
b. How to make decisions about mean, median, or mode
c. How a sample is obtained from a population
d. None of the above
104. The algebraic sum of deviations from mean is:
a. Maximum
b. Zero
c. Minimum
d. Undefined
Note:Attemptall questioneachquestioncarryequal Marks:
Q1. a. Define the biostatics?
b. brieflydescribe the branchesof biostatics?
c. what are the usesof biostatics?
Q2. a. Define the followingtermsanyfive?
1. Statistics
2. Population
3. Variable
4. Descriptive
statistics
5. Inferential statistics
6. Measures of
centeral tendency
7. Mean
8. Median
9. Mode
10. Normal distribution
3. Followingisthe dataof familymembersunder25yearsold fromcertainpopulation.Findthe mean,
medianandmode of the data.
C-I f
0-5 30
5-10 35
10-15 55
15-20 40
20-25 15
13. 13
13
4. Following data shows age of pregnant women who visited MCH centre during month of February.
Compute Mean. Median and Mode of following data.
22, 21, 18, 21, 21, 20, 25, 24, 17, 20, 18, 25
5. A random sample of size 49 with mean 32 is taken from a normal population whose standard deviation
is 4. Test at 5% LOS that oH : µ = 25
AH : µ ≠ 25
6. Followingisthe Heartrate of eightpatientsadmittedinICU. Calculate Mean,StandardDeviationand
Range of followingdata
98, 92, 104, 98, 94, 108, 102, 96
7.Draw a stemand leaf plotof the followingdata
35 37 17 31 56 42 13 12 23 51
12 45 19 21 33 28 52 34 48 28
8. The Blood group of BSN 1st
Semester student is as below. Construct frequency table and bar chart for
the following data.
B O O A A AB A B B O AB O
AB B B A O O A B O O A B
9. A random sample of size 64 with Mean 25 and S.D 4 is taken from a normal population. Construct 95
% confidence interval
10. What is a Normal Distribution?
11. Write the properties of Normal Distribution.
12. Define Biostatistics and Chi-squire
13. Briefly discuss about the scope of biostatistics in nursing.
14. Define Stem and Leaf Plot
15. Define P-value and Nominal Scale
16. Define Frequency table and Bar chart
17. what are the different scales of measurement? Discuss briefly with examples.
18. A sample of 49 observations is taken from a normal population with a standard
deviation of 10. The sample mean is 55. Determine the 95% confidence interval
for the population mean.
19. Diploma nursing students have obtained following test scores out of 50.
3, 15, 24, 28, 33, 35, 38, 42, 23, 38, 36, 34, 29, 25, 17, 7, 34, 36, 39, 44,
31, 26, 20, 11, 13, 22, 27, 47, 39, 37, 34, 32, 35, 28, 38, 41, 48, 15, 32,
14. 14
14
a) Construct the frequency table with class interval of 10.
b) Draw the histogram
20. Calculate the mean, median and mode for the following set of numbers:
5, 4, 8, 2, 5, 4,5, 3, 6, 5, 4, 5, 2, 8, 6, 5, 4, 8, 3, 4,
21. Find the Range and, variance and for the following series of numbers
2, 3, 6, 8, 11,12,13,14
22. what is a normal distribution? Enlist properties of normal distribution