Free Printable Comps: Stats

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Comps: Stats

Total questions: 22

Worksheet time: 16mins

Name

Class

Date

When testing with $\alpha=0.01$ you get $p=0.12$ . Your decision should be

Reject $H_0$ , there is a significant difference

Accept $H_0$ , there is NOT a significant difference

Reject $H_0$ , there is NOT a significant difference

Accept $H_0$ , there is a significant difference

A ___ is a large group that includes everything being studied.

Sample

Stratified Sampling Method

Population

Voluntary-Response

A ___ is a small portion of the population used to gather data from.

Systematic Sampling Method

Sample

Population

Bias

Why do we randomly select our samples?

to control every aspect

reduce bias

so we don't get the same answers from everyone

because it is easier to do

A team of psychologists are interested in the effects of sleep deprivation on new learning. College students (N = 10) stay in a sleep lab for 2 days. Five participants are randomly assigned to an experimental condition in which they are not permitted to sleep during that period; the other five participants are allowed to sleep when they wish. At the end of two days, all participants attended a class that taught the principles of gene combination. They were given a test after the end of the class and counted the number of correct answers. Which of the following statistics would you recommend to test their hypothesis?

Chi-square Test of Independence

Independent Samples T-Test

Dependent Samples T-Test

Pearson r Correlation

Linear Regression Analysis

You conduct a study to examine the relationship between age and the number of occurrences of back pain that a person has experienced in their lifetime. You sample 10 people at random from the phone book. What statistical test can be used to predict the number of occurrences of back pain that someone should expect to have by the time they are 40 years old?

Pearson r correlation

One-way ANOVA

Independent samples t-test

Regression Analysis

What is the direction of relationship if the values of X and Y go in opposite direction (Y decreases as X increases)

Positive

Negative

Regression Analysis is used to predict how one variable will change with another

True

False

Using the same data, which analysis technique is appropriate if you want to know if there is a significant difference in Math scores between the two grade levels?

t-test (independent samples)

Chi-Square

Correlation

Regression

ANOVA (Analysis of Variance)

10.

Which analysis technique must be used if you want to determine if there is a significant difference in the English scores across strands?

t-test (independent samples)

Chi-Square

Correlation

Regression

ANOVA (Analysis of Variance)

11.

Which analysis technique must be used to determine if there is a significant relationship/association between Grade Level and Strand for this specific batch of students?

t-test (Independent samples)

Chi-Square

Correlation

Regression

ANOVA (Analysis of Variance)

12.

Which analysis technique should you use to determine if you can predict the Math Score using the scores in English quiz?

t-test (Independent samples)

Chi-Square

Correlation

Regression

ANOVA (Analysis of Variance)

13.

What is the purpose of the t-test?

To find out how many degrees of freedom are evident in a set of data

To find out if the difference in means is due to the independent variable or simply by chance

To find out if the difference between standard deviation is significant

To find out if the t-test is the same as the coefficient of variation

14.

What is it telling us if the p-value is <0.05

There is less than 5% possibility the the results are by chance rather than being caused by the independent variable.

There is less than 5% chance of the answer being correct

There is a 95% possibility of the answer being by chance

There is more than 5% possibility that 95% of the result is caused by the independent variable

15.

What is paired t-test?

A t-test that measures multiple sets of data

A t-test which has two sets of data which are paired normally by being the same subjects but could be paired by height, weight, or experience.

A t-test that measures two unconnected pieces of data

A t-test which is used to determine how much a two pieces of data are paired.

16.

When do you choose to conduct a two-tail t-test?

When you know the direction of the result whether positive or negative

When you are not sure whether you will get a positive or negative result.

When you are not sure of the data involved.

When you are sure that the results will be wrong

17.

Checking 'consistency' in a research instrument is...(एक अनुसंधान उपकरण में 'स्थिरता' की जाँच करना है)

Validity

Reliability

18.

Which of the following statements is an example of a positive correlation?(निम्नलिखित में से कौन सा कथन सकारात्मक सहसंबंध का एक उदाहरण है?)

The more hours you study, the better your performance on your exam.(आप जितने अधिक घंटे अध्ययन करेंगे, आपकी परीक्षा में आपका प्रदर्शन उतना ही बेहतर होगा।)

There is no known relationship between reading and alcoholism.(पढ़ने और शराब के बीच कोई ज्ञात संबंध नहीं है।)

The more hours in a day you stay awake, the less hours you spend asleep.(एक दिन में जितने घंटे आप जागते हैं, उतने ही कम घंटे आप सोते हैं।)

none of them

19.

what is a negative correlation? (नकारात्मक सहसंबंध क्या है?)

The relationship between two variables in which an increase in one variable is associated with a decrease in the other.(दो चर के बीच का संबंध जिसमें एक में वृद्धि हुई है चर दूसरे में कमी के साथ जुड़ा हुआ है।)

Relationship between two variables in which both variables either increase or decrease.( दो चरों के बीच का संबंध जिसमें दोनों चर या तो बढ़ते या घटते हैं))

both

20.

A researcher wants to know if children report more severe injuries at A&E if they are wearing a Superman, Spiderman, Hulk, or Ninja Turtle costume. The following data shows a one-way ANOVA output for ratings of injury severity. What do the results suggest?

There is no significant effect of costume type on injury severity

There is a significant effect of costume type on injury severity (F(3,26)=1393.54, p<.001)

There is a significant effect of costume type on injury severity (F(3,26)=8.32, p<.001)

There is a significant effect of costume type on injury severity (F(1,26)=294.83, p<.001)

21.

A researcher wants to know if there is a significant association between time pressures at work and an employee's ability to detach themselves from work. A Chi-square analysis was run on the data; what does the following output tell us?

There is no significant association between time pressure and work detachment

There is a significant association between time pressure and work detachment (Χ²(4)=15.55, p=.004)

There is a significant association between time pressure and work detachment (Χ²(4)=15.65, p=.004)

There is a significant association between time pressure and work detachment (Χ²(1)=12.32, p<.001)

22.

Inferential Statistics

Statistical analysis of two or more sets of numerical data to reduce the possibility of error in measurement and to determine if the differences between the data sets are greater than chance variation would predict

A number that represents the strength and direction of a relationship existing between two variables

A distribution of scores in which scores are concentrated in the low end of the distribution

A distribution of scores in which scores are concentrated in the high end of the distribution

100 %

Comps: Stats

Total questions: 22

Worksheet time: 16mins

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