Psychology CC 5 Week 3 Exam3 Quiz

Psychology CC 5 Week 3  Exam3  Quiz | chatbot las positas  community college

Question 1

The null hypothesis states that:  

·         two samples have been drawn from the same population.  

·         two samples have been drawn from populations with different means.  

·         no specific relationship is being tested. 

·         μ1 ≠ μ2.

 

Question 2

Which of the following is a correct statement?       

·         If the null hypothesis is true, there is no difference between population means.  

·         μ1 will never be equal to μ2.  

·         If the null hypothesis is true, there is a difference between population means.  

·         If the null hypothesis is false, the samples are considered the same.

 

Question 3

Which of the following exemplifies a research hypothesis?  

·         Whites and blacks watch the same amount of TV.  

·         Senior citizens’ driving behaviors do not differ from those of teenagers.  

·         Liberals and conservatives have the same voting rates.  

·         Men and women have different levels of income.

 

 

Question 4

Which statement is true of α (alpha)?  

·         Stringent levels of α can provide absolute certainty.  

·         If it is set at .01, it's easier to reject the null.  

·         Alpha increases as our sample size decreases.  

·         Conventionally, social researchers set α = .05.

 

Question 5

A researcher is interested in the relationship between political party affiliation (Democrat or Republican) and support for a woman’s right to choose (pro-choice). In order to do this, she uses a standardized measure for determining support for pro-choice. The higher the person scores on the measure, the greater is his or her support for pro-choice.

 If the researcher claims a significant difference between groups when in fact none exists:

  

·         a Type II error is made. 

·         a Type I error is made.  

·         the research hypothesis was correctly rejected.  

·         the null hypothesis was correctly retained.

 

 

Question 6

A researcher is interested in the relationship between political party affiliation (Democrat or Republican) and support for a woman’s right to choose (pro-choice). In order to do this, she uses a standardized measure for determining support for pro-choice. The higher the person scores on the measure, the greater is his or her support for pro-choice.

If the researcher fails to find a significant difference when in fact one exists in the population:  

·         a Type II error has been made.  

·         the research hypothesis was correctly accepted.  

·         the null hypothesis was correctly rejected.  

·         a Type I error has been made.

 

Question 7

When the null hypothesis is rejected: 

·         it is quite likely that the difference between means is a result of sampling error.  

·         it is unlikely that the difference between means is a result of sampling error.  

·         the population means are equal.  

·         the research hypothesis is proven false.

 

Question 8

The larger the value of our obtained t:  

·         the more probable that our results are due to chance alone.  

·         the less probable that our results are due to chance alone. 

·         the larger our critical t value. 

·         the larger the probability of making a Type I error.

 

Question 9

The standard error of the difference between means:  

·         is an estimate of the standard deviation in a sampling distribution of differences.  

·         requires only one sample’s characteristics. 

·         cannot be properly estimated. 

·         does not include the sample sizes.

 

Question 10

Which of the following does NOT exemplify a research hypothesis:  

·         Drivers of SUVs have the same personality type as drivers of pickup trucks.  

·         Southern states are more socially conservative than northern states.  

·         High school graduates are more conservative than college graduates. 

·         Men are less monogamous than women.

 

Question 11

The variation found among raw scores in a particular group is referred to as:  

·         within-groups variation.  

·         total variation.  

·         between-groups variation.  

·         F ratio

 

Question 12

In a one-way analysis of variance with three groups, the null hypothesis states:  

·         Joe Mama  

·         μ1 = μ2 = μ3.  

·         at least two of the groups differ.  

·         μ1 > μ2 and μ3.

 

Question 13

The sum of squares is the method for measuring variation within groups, between groups, and throughout the entire sample.    

·         True 

·         False

 

Question 14

We use the analysis of variance rather than the t ratio when more than two groups are involved because it is less time-consuming to do than a bunch of t-tests.    

·         True  

·         False

 

Question 15

The larger the value of the calculated F ratio:    

·         the less likely an observed difference is due to chance.  

·         the larger the sum of squares within groups compared to the sum of squares between groups.  

·         the more likely an observed difference is due to chance.  

·         the larger the mean square within groups compared to the mean square between groups.

 

 

Question 16

Which is NOT true of an analysis of variance?  

·         The population variances are all assumed to be equal.  

·         No answer text provided. 

·         All samples must be selected randomly.  

·         All data must be ordinal level data.

 

Question 17

The added component in a two-way analysis of variance is called the ________ effect.  

·         Tukey 

·         significant 

·         Hawthorn 

·         interaction

 

 

Question 18

In a one-way analysis of variance, the total variation is divisible into _________

component(s).  

·         1  

·         2  

·         3  

·         4

 

Question 19

In a one-way analysis of variance with three groups, the research hypothesis is: 

·         μ1 > μ2 and μ3.  

·         some μi ≠ μj.  

·         μ1 = μ2 = μ3.

 

Question 20

Dr. Chung, a renowned dietitian, claims having a balanced breakfast increases productivity. To substantiate his claim, he asks one group of participants to eat breakfast and another to go without it. Then he measures their performance on a cognitive task (1-10).

Breakfast Group               No Breakfast Group

8              6

6              6

8              5

8              5

What is the null hypothesis?

  

·         Breakfast Group Mean < No Breakfast Group Mean 

·         Breakfast Group Mean = No Breakfast Group Mean 

·         Breakfast Group Mean > No Breakfast Group Mean

 

 

Question 21

2.5 / 2.5 pts

Dr. Chung, a renowned dietitian, claims having a balanced breakfast increases productivity. To substantiate his claim, he asks one group of participants to eat breakfast and another to go without it. Then he measures their performance on a cognitive task (1-10).

Breakfast Group               No Breakfast Group

8              6

6              6

8              5

8              5

Should we use a one-tailed or two-tailed test?   

·         One-tailed T-Test  

·         Two-tailed T-Test

 

 

Question 22

Dr. Chung, a renowned dietitian, claims having a balanced breakfast increases productivity. To substantiate his claim, he asks one group of participants to eat breakfast and another to go without it. Then he measures their performance on a cognitive task (1-10).

Breakfast Group               No Breakfast Group

8              6

6              6

8              5

8              5

Please find the Standard Error of Difference Between Means. Work at the thousandths level throughout. Round to the thousandths at the end.

  

·         .577 

·         .5778 

·         .576 

·         .578

 

 

Question 23

Dr. Chung, a renowned dietitian, claims having a balanced breakfast increases productivity. To substantiate his claim, he asks one group of participants to eat breakfast and another to go without it. Then he measures their performance on a cognitive task (1-10).

Breakfast Group               No Breakfast Group

8              6

6              6

8              5

8              5

Find the T-ratio. * Round to the hundredths place.  

 

Question 24

Dr. Chung, a renowned dietitian, claims having a balanced breakfast increases productivity. To substantiate his claim, he asks one group of participants to eat breakfast and another to go without it. Then he measures their performance on a cognitive task (1-10).

Breakfast Group               No Breakfast Group

8              6

6              6

8              5

8              5

Based on the data and the T-ratio, can you reject the null hypothesis?    

·         No 

·         Yes

 

Question 25

Dr. Chung, a renowned dietitian, claims having a balanced breakfast increases productivity. To substantiate his claim, he asks one group of participants to eat breakfast and another to go without it. Then he measures their performance on a cognitive task (1-10).

Breakfast Group               No Breakfast Group

8              6

6              6

8              5

8              5

Based on the last answer....

What type of error are you making if you wrong?   

·         Type I Error  

·         Type II Error

 

 

Question 26

Consumer Reports has decided to test the efficacy of 4 different ant killing sprays. They take ran 8 trials for each brand and measure how many ants are killed by each brand after 5 mL are administered.

Below are the Group Means and Ns:

N1 = 8

N2 = 8

N3 = 8

N4= 8

 

What is the dfbetween?

 

 

Question 27

Consumer Reports has decided to test the efficacy of 4 different ant killing sprays. They take ran 8 trials for each brand and measure how many ants are killed by each brand after 5 mL are administered.

Below are the Group Means and Ns:

N1 = 8

N2 = 8

N3 = 8

N4= 8

 

What is the dfwithin?

 

 

Question 28

Consumer Reports has decided to test the efficacy of 4 different ant killing sprays. They take ran 8 trials for each brand and measure how many ants are killed by each brand after 5 mL are administered.

Below are variance statistics,

SS total = 30541.88    SS within = 12010.5

What is the SSbetween?

 

 

Question 29

Consumer Reports has decided to test the efficacy of 4 different ant killing sprays. They take ran 8 trials for each brand and measure how many ants are killed by each brand after 5 mL are administered.

Suppose you were given the following statistics:

MSbetween = 6177.13

MSwithin = 28.95

Calculate the Fobtained.  Round to the hundredths.

 

 

Question 30

Consumer Reports has decided to test the efficacy of 4 different ant killing sprays. They take ran 8 trials for each brand and measure how many ants are killed by each brand after 5 mL are administered.

Based on the last answer....

Can you reject the null hypothesis?    

·         Yes 

·         No

 

 

Question 31

Take a look at the Tukey HSD results (95% level):

 

A subtracted from

Brand    Difference          Lower   Upper   P-value

B             13           -15.273771          41.273771            0.598

C             46.5        18.226229            74.773771            0.0006

D             59.25     30.976229            87.523771            <0.0001

B subtracted from

Brand    Difference          Lower   Upper   P-value

C             33.5        5.2262286            61.773771            0.0155

D             46.25     17.976229            74.523771            0.0007

C subtracted from

Brand    Difference          Lower   Upper   P-value

D             12.75     -15.523771          41.023771            0.6128

Which of these statements is TRUE?

  

·         C is not significantly different than D.

·         B is not significantly different than C.  

·         A is not significantly different than D. 

·         A is not significantly different than C

 

 

Question 32

Despite rejecting the null hypothesis in a follow-up study, the effect size is .1.

What can we suggest to the researchers?    

·         That effect size is large. So you should call all your family and tell them you are going to be rich.  

·         That effect size is minimal. So you should do further investigation.  

·         That effect size is small. So you should pat yourself on the back you found SOMETHING.  

·         The effect size is moderate. So you should probably publish.