Question

Week 5 #2 Take your survey data and code the gender question as Male=0 and Female=1....

Week 5 #2

Take your survey data and code the gender question as Male=0 and Female=1. Suppose we hypothesize that women are more likely to respond to surveys than men are. Specifically, we believe that more than 55 percent of all respondents are women (this equates to the proportion of the gender variable to be greater than 0.55). Use the methods learned this week to test this hypothesis.

Make sure you go through the 6-step process of testing the hypothesis. Present your results and discuss why you rejected, or failed to reject the null hypothesis.

My data collected:

out of 30 participants: 24 are female and 6 male.

PLEASE HELP ME ANSWER THIS PROBLEM ..

THank you

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Take your survey data and code the gender question as Male= 0 and Female = 1....
Take your survey data and code the gender question as Male= 0 and Female = 1. Suppose we hypothesize that women are more likely to respond to surveys than men are. Specifically, we believe that more than 55 percent of all respondents are women which equates to the proportion of the gender variable to be greater than 0.55. Test the hypothesis. Females= 24 Males= 9 Provide the 6 step process of testing the hypothesis. Present your results and discuss why...
StudentNO Gender Height in inchese 1 Female 63 2 Female 64.0 3 Male 67.0 4 Female...
StudentNO Gender Height in inchese 1 Female 63 2 Female 64.0 3 Male 67.0 4 Female 59 5 Male 60 6 Female 61 7 Female 62 8 Female 63 9 Female 63 10 Female 64 11 Male 64 12 Female 65 13 Female 65 14 Female 65 15 Female 65 16 Female 66 17 Female 66 18 Male 67 19 Male 67 20 Male 67 21 Female 67 22 Male 67 23 Male 67 24 Female 67.5 25 Male 68...
Case Hospitalized? Gender Age Insured Count of Patients 1 Yes Male >65 Yes 10 2 Yes...
Case Hospitalized? Gender Age Insured Count of Patients 1 Yes Male >65 Yes 10 2 Yes Male <65 Yes 20 3 Yes Female >65 Yes 30 4 Yes Female <65 No 40 5 No Male >65 No 20 6 No Male <65 No 40 7 No Female >65 No 60 8 No Female <65 No 80 Using the above data answer the following questions: What is the probability of hospitalization given that you are male? Select all males and count...
Exhibit 10-1 Salary information regarding two independent random samples of male and female employees of a...
Exhibit 10-1 Salary information regarding two independent random samples of male and female employees of a large company is shown below. Male (Population 1) Female (Population 2) Sample size 64 36 Sample mean salary (in $1000s) 44 41 Population variance 128 72 Refer to Exhibit 10-1. The sample suggests that men get paid more than women. We want to test if this is true. Develop a null hypothesis and alternative hypothesis to test this question. a. H0: Mu1 - Mu2...
Use SPSS and data file: Perform a 2-way ANOVA with participant’s income (INC1) as the dependent...
Use SPSS and data file: Perform a 2-way ANOVA with participant’s income (INC1) as the dependent variable and with gender (GENDER1) and marital status (MSTAT) as independent variables. Interpret your results in the following question. The main effect due to gender indicates that: A. Women earn more than men. B. Men earn more than women. C. Men and women have incomes that are not significantly different. D. Participants earn more than their partners. SPSS DATA: Between-Subjects Factors             ...
You have a data set with three predictors: X1 = GPA, X2 = IQ, and X3...
You have a data set with three predictors: X1 = GPA, X2 = IQ, and X3 = Gender (1 for female, 0 for male). The response is starting salary after graduation (in $ thousands). We use least squares to fit the model, and we get b0 = 50, b1 = 20, b2 = 0.07, and b3 = 35. a. Predict the salary of a woman with an IQ of 110 and a GPA of 4.0 (for calculation please use Excel.)...
Using the data in SLEEP75.RAW, we obtain the estimated equation Sleep =3,840.83 -.163totwrk - 11.71educ -...
Using the data in SLEEP75.RAW, we obtain the estimated equation Sleep =3,840.83 -.163totwrk - 11.71educ - 8.70 age -.128 age2 + 87.75 male                            (235.11)    (.018)              (5.86)        (11.21)          (.134)       (34.33)                       N=706, R2=.123, The variable sleep is  total  minutes  per week spent sleeping at night, totwrk is total weekly minutes spent working, educ  and  age  are  measured  in  years, and  male is a gender dummy. All other factors being equal, is there evidence that men sleep more than women? How strong is The evidence? Is there a statistically significant tradeoff between working and sleeping? What is the...
Do male and female students study the same amount per week? In 2007, 58 sophomore business...
Do male and female students study the same amount per week? In 2007, 58 sophomore business students were surveyed at a large university that has more than 1,000 sophomore business students each year. The file Study Times contains the gender and the number of hours spent studying in a typical week for the sampled students. At the 0.05 level of significance, is there a difference in the variance of the study time for male students and female students? Using the...
Prompt: Suarez et al (1998) collected data on flatus (farts) and odor intensity (how stinky the...
Prompt: Suarez et al (1998) collected data on flatus (farts) and odor intensity (how stinky the farts were) in a small sample of men and women. The researchers have no specific hypothesis, but they want to examine whether male and female flatus differ by odor intensity. They have collected the following: Sex: The sex of the participant – 1 = Male; 2 = Female Odor Intensity Score: On a scale from 0 (no odor) to 8 (very offensive), they asked...
Exercise 14.2 Presented below are some hypothetical data representing 50 people: (1) gender (M=male, F=female) and...
Exercise 14.2 Presented below are some hypothetical data representing 50 people: (1) gender (M=male, F=female) and (2) whether they attended church last week (Y=yes, N=no). In the steps below you will be asked to construct the appropriate bivariate percentage table showing the relationship between gender and church attendance and to give your interpretation of that table. M-N F-N   F-Y      M-N   M-Y F-N   F-Y   F-Y   M-N   M-Y M-Y F-Y   M-N M-Y F-Y   F-N   M-N   M-N F-N   F-Y M-N F-Y   M-N...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT