Category: Mathematics Homework Help

Pages 398-399 # 1,2 6-10; 12, 13, 16, 19, 24, 32-34, 39.

The answers to these exercises can be found on Page 587

.I need all the steps for the solution

I’m working on a statistics question and need an explanation and answer to help me learn.

In your own words, provide a brief description of your understanding of regression and correlation analysis and in what instances you think regression and correlation analysis would be useful in the field of criminal justice. To support your assertions about the usefulness of regression and correlation analysis in the field of criminal justice, provide an example of a regression and correlation analysis that could be conducted. 

ANALYZING DATA USING THE INDEPENDENT SAMPLES T-TEST

Please watch the “t-test video” and read the chapter’s SPSS demonstrations prior to doing the assigned exercise.

The legalization of marijuana is a topic being debated in many states throughout the U.S. Eight states, including MA, have now passed have some form of legal recreational marijuana use.   The GSS2018 has a question [GRASS] which asks respondents if they support marijuana legalization.  You want to explore whether these two groups–persons favoring legalization and persons opposing legalization—differ in terms of their age [age], years of education [educ], and number of children [childs].  

The grouping (or independent) variable is GRASS—a dichotomous nominal variable.  Your three testing (or dependent) variables are AGE, EDUC, CHILDS; all ratio variables.

You will conduct an independent samples t-test assuming a 2-tailed test with an alpha level of .05.

Step 1. Write the three null and alternative hypotheses.

Step 2. Run the SPSS analysis

• From the SPSS Menu baràANALYZEàCOMPARE MEANSàINDEPENDENT SAMPLES T-TEST
• In the independent samples t-test dialog box, enter your three testing or dependent variables in the test variable box—AGE, EDUC, and CHILDS.
• Now enter the grouping or independent variable—GRASS—into the grouping variable box.  Question marks will appear.
• CLICKàDEFINE GROUPS; and a define groups dialog box will open.
• You must insert the value categories for GRASS (‘1’, and ‘2’), then CLICKàCONTINUE.
• CLICK the box next to “Estimate effect sizes” to get rid of the checkmark.
• CLICKàOK.

Step 3. Interpret the SPSS Output for the 3 hypotheses. 

For each hypothesis:

• Read the GROUP STATISTICS BOX which gives each groups’ n’s, means and SD’s on your testing (dependent) variables   
• Looking at the p value under the Levene’s test columns, determine whether the Levene’s test p value allows you to assume equal variances.  This tells you whether to read the top or bottom row of the “t test for equality of means” section of the output. 
• Note the t value, df and p-value. 
• Make a decision about rejecting or retaining each null hypothesis.

Step 4. Write up the results

1. Write up your results for each hypothesis separately.  In doing so, be sure to provide support/evidence for your decision about rejecting or retaining the null hypothesis, including providing t-value, df, and p-value.    Also report means and standard deviations for the two groups so that the reader can understand the specific nature of the differences (or lack of differences) between the two groups.  When all is said and done, how do these two groups of adults (those who favor and oppose marijuana legalization) differ by age, education and number of children?
2. Create a table that reports the results of the t test for GRASS and AGE with the essential numbers and statistical information: the means, SDs, t value, df, and p value.  

An example for a write-up and table to report the results of a t test can be found in this week’s content.  Refer also to articles that feature the t test for an example of how this can be done.

1. NEED TO USE SPSS AND GSS DATA SET 2018 TO ANSWER AS WELL AS COPY AND PASTE ON SEPERATE PAGE SHOWING THE WORK IN SPSS

https://www.studypool.com/discuss/download?id=21735627&path=uploads/talk/1746311/1428647/20210713021609gss2018_for_sr744_sum21.zip&fileDownloadName=attachment_2

I need help with a 2-3 page explanation example of the output that answers these questions:

What is the null hypothesis for your question?

What research design(s) would align with this question?

What dependent and independent variables were used, and how were they measured?

If significant, what is the strength of the effect?

What is the answer to your research question?

What are the possible implications of social change?

I just need the direct answer with the proper unit. Some questions has a,b,c parts. Don’t waste your time writing me a full explanation. Thank you.

QUESTION 16

The following text relates to the next 3 questions. Please read it all the way through before responding.

Paula Radcliff is one of the best marathon runners of all time. She has remained physically active since retiring from competitive marathons and maintains a relatively high volume of running with regular high intensity interval work (working at ~95% of her HR max). She has had two healthy pregnancies and ran regularly during each of her pregnancies. This included a marathon whilst 5 months pregnant. There was considerable media attention around her decision to run during these pregnancies with lots of media commentary suggesting that she should not have been running whilst pregnant.

16A. To counter the negative press associated with Paula’s “pregnancy marathon”, list the benefits of exercise during pregnancy and the considerations required to ensure safety. So, with reference to key journal article(s) describe the potential benefits to mother and baby of physical activity during pregnancy (3 marks). With reference to key journal article(s) what are the key considerations that need to be considered to ensure that running whilst pregnant is safe for mother and baby (3 marks).

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16B. Paula’s training consists exclusively of running. Provide Paula with some additional exercise advice to ensure she meets the physical activity guidelines during her pregnancy (3 marks). Hint: Use the SMA Position Statement

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16C. List some of the key barriers to physical activity that Paula may have experienced in the post-partum period following the birth of her second child (6 marks).

Writing assignment typed in your own words (1 page in length, 1.5 spacing)

What did you learn in Precalculus 1 class (MATO 117) and how can you apply it to your major field of study, Business Management or real-life?

Q1

IT Department of an electronic retail company found a new computer virus, which attacks only software of smart microwave ovens made by the company. The Sales Department could call back a few batches of ovens and send them to IT guys for testing. Testing indicated version differences: Approximately 10% of the sample of last models were infected, approximately 35% of the sample of one-year-old models were infected, and approximately 50% of the sample of three-year-old models were infected.

Describe the variables and indicate whether each variable is quantitative or categorical.

Q2

A scientist collects data from many people to determine how the age and weight are related. How the data is collected determines whether the variables are quantitative or categorical. Describe how the information might be recorded if we regard both variables as categorical.

Q3

Hybrid electric vehicles is a type of a hybrid vehicle and an electric vehicle that combines the conventional internal combustion engine propulsion system with the electric propulsion system. One study of 4250 car owners in Utah found that 14% had a hybrid car. Besides, the second study measured average gas mileage per gallon in a city and on a highway. Finally, the third study measured the maximum distance without refuel or recharging. In each of three studies, identify the variables and whether each variable is quantitative or categorical.

Q4

In one study, a water sample was taken from various lakes. The data indicate that as the concentration of a large group of unicellular microorganisms in the lake water goes up, the fertility level of fish in the lake goes down. The group of unicellular microorganisms level is measured in parts per trillion (ppt) and the fertility level is recorded as the percent of eggs fertilized.

Describe the variables and indicate whether each variable is quantitative or categorical.

Q5

New studies suggest that experiences of parents can affect future children: Early life experiences of parents appear to cause permanent changes in sperm and eggs. In one study, some male rats were fed a high-fat diet with 43% of calories from fat with some drops of alcohol in the drinking water, while others were fed a normal healthy rat diet. Not surprising, the rats fed the high-fat food with alcohol were far more likely to develop diabetes than the rats on the normal-diet. What surprised the scientists was that the kids of these rats were also far more likely to develop diabetes than the kids of rats fed healthy diets. None of the kids and none of the mothers ate a high-fat diet with alcohol and fathers did not have any contact with kids. The high-fat diet with alcohol of the fathers appeared to cause negative effects for their kids.

Describe the variables and indicate whether each variable is quantitative or categorical, and indicate the explanatory and response variables. Select the correct variables below.

Q6

The dataset below contains the countries that won the FIFA World Cup more than anybody else.

Brazil – 5 times (1958, 1962, 1970, 1994, 2002) – never won the home World Cup.

Germany – 4 times (1954, 1974, 1990, 2014) – won the home World Cup.

Italy – 4 times (1934, 1938, 1982, 2006) – won the home World Cup.

How many cases are there in this dataset? What are the cases? How many variables are there in this dataset? What are the variables?

I’m working on a statistics exercise and need an explanation and answer to help me learn.

A computer scanner can read a bar code on a package correctly 97% of the time. One company monitors the accuracy of the scanner by randomly sampling packages and verifying that each package has been correctly scanned. Random samples of size n = 25, 50, 100, and 200 have recently been taken with the following results.

Sample Size, n Number Correctly Scanned 2524504910095200193

To complete this activity, use Excel to:

1. Calculate the sample proportion for each sample size. 
2. Calculate the single-proportion sampling error for each sample size. 
3. Calculate the probability of finding 198 correctly scanned packages, for a sample of size n=200.