Question

Use the smartphone data. Test if the phone type ("Phone Type") and beliefs about the impact...

Use the smartphone data. Test if the phone type ("Phone Type") and beliefs about the impact of social media ("Impact of SocNetworking" ) are related or not. Use R to find the test statistic.

**Answer is 8.82**

Phone Type Impact of SocNetworking
iPhone worse
Android smartphone better
Android smartphone better
iPhone better
iPhone worse
iPhone no impact
Android smartphone better
iPhone no impact
iPhone no impact
iPhone better
Android smartphone no impact
Android smartphone better
iPhone better
Android smartphone worse
Android smartphone no impact
Android smartphone better
Android smartphone better
iPhone better
Android smartphone no impact
iPhone better
Android smartphone worse
Android smartphone worse
iPhone better
Android smartphone no impact
iPhone no impact
iPhone better
Android smartphone no impact
iPhone better
iPhone better
iPhone no impact
Android smartphone better
Android smartphone worse
iPhone better
Android smartphone worse
iPhone better
Android smartphone better
Android smartphone better
Android smartphone better
Android smartphone no impact
Android smartphone worse
Android smartphone worse
Android smartphone better
iPhone better
iPhone better
iPhone better
iPhone worse
Android smartphone better
Android smartphone no impact
iPhone better
iPhone better
iPhone worse
iPhone better
iPhone better
iPhone better
iPhone better
Android smartphone worse
iPhone no impact
iPhone better
Android smartphone no impact
iPhone better
iPhone better
Android smartphone worse
iPhone better
iPhone better
Android smartphone worse
iPhone better
iPhone no impact
Android smartphone no impact
iPhone better
Android smartphone better
iPhone better
iPhone no impact
iPhone no impact
Android smartphone worse
iPhone better
iPhone better

**Answer is 8.82**

Homework Answers

Answer #1

Use the following code to do the chi-square test in R

getwd() #to figure out your file directory and place the data file in csv format

phone <- read.csv("phone.csv") #reading the data into r from the default directory

head(phone) # Top 5 data rows of data just to check if you have imported correctly

better no impact worse
Android smartphone 13 9 11
iPhone 30 9 4

table(phone$Phone.Type, phone$Impact.of.SocNetworking)

chisq.test(phone$Phone.Type, phone$Impact.of.SocNetworking)

Output :

Pearson's Chi-squared test
X-squared = 8.8246, df = 2, p-value = 0.01213

The chi-squared that we get is 8.8246.

We get a p-Value less than the significance level of 0.05, we will have to reject the null hypothesis.

Hence, Phone type and Impact of Social Networking are independent

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
Dr. Chase wants to investigate how cell phone use impacts reaction time. To test this, Dr....
Dr. Chase wants to investigate how cell phone use impacts reaction time. To test this, Dr. Chase conducted a study where participants are randomly assigned to one of two conditions while driving: no cell phone or cell phone. Participants were then instructed to complete a driving simulator course where reaction times (in milliseconds) were recorded by how quickly they hit the breaks in response to a dog crossing the middle of the road during the course. Below are the data....
A survey was conducted of two types of marketers. The first type being marketers that focus...
A survey was conducted of two types of marketers. The first type being marketers that focus primarily on attracting business​ (B2B), and the second type being marketers that primarily target consumers​ (B2C). It was reported that 523523 ​(9090​%) of B2B and 231231 ​(5555​%) of B2C marketers commonly use a business social media tool. The study also revealed that 310310 ​(5353​%) of B2B marketers and 245245 ​(5858​%) of B2C marketers commonly use a video social media tool. Suppose the survey was...
A researcher was interested in the relationship between an average daily time spent on social media...
A researcher was interested in the relationship between an average daily time spent on social media (i.e., X variable) and social anxiety (i.e., Y variable). The data collected on a sample of n = 82  undergraduate students produced the following results:        SSx= 49, SSY= 36, SP = 11, MX = 8, MY = 15. A. Is there a significant correlation between an average daily time spent on social media and social anxiety? Use 2-tailed test, p < .05 to answer this research...
A researcher wants to examine the relationship between time spend on social media (variable X) and...
A researcher wants to examine the relationship between time spend on social media (variable X) and loneliness (variable Y) in young adults. A randomly sample of n = 72 young adults was asked how much time in average they spend on social media each day and how lonely day feel on a typical day. The partial computations of collected data produced the following results:                                             SP = 3.5     MX = 5   SSx = 16    MY = 20    SSY= 9 A. Based on these...
You may need to use the appropriate technology to answer this question. A mail-order catalog firm...
You may need to use the appropriate technology to answer this question. A mail-order catalog firm designed a factorial experiment to test the effect of the size of a magazine advertisement and the advertisement design on the number of catalog requests received (data in thousands). Three advertising designs and two different-size advertisements were considered. The data obtained follow. Size of Advertisement Small Large Design A 8 12 12 8 B 24 24 16 28 C 8 20 16 16 Use...
A factorial experiment was designed to test for any significant differences in the time needed to...
A factorial experiment was designed to test for any significant differences in the time needed to perform English to foreign language translations with two computerized language translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 8 10 12 12 14 16 System 2 6 14 16 10...
Question #1 A random sample of 20 binomial trials resulted in 8 successes. Test the claim...
Question #1 A random sample of 20 binomial trials resulted in 8 successes. Test the claim that the population proportion of successes does not equal 0.50. Use a level of significance of 0.05.A random sample of 20 binomial trials resulted in 8 successes. Test the claim that the population proportion of successes does not equal 0.50. Use a level of significance of 0.05. (c) Compute p̂. Compute the corresponding standardized sample test statistic. (Round your answer to two decimal places.)...
Use the sample data below to test the hypotheses H0: p1 = p2 = p3 Ha:...
Use the sample data below to test the hypotheses H0: p1 = p2 = p3 Ha: not all population proportions are equal where pi is the population proportion of Yes responses for population i. Response Populations 1 2 3 Yes 155 155 86 No 105 155 94 Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = Using a 0.05 level of significance, state...
Use the GSS dataset to answer the questions below. All analysis must be completed using your...
Use the GSS dataset to answer the questions below. All analysis must be completed using your own GSS data set. Failure to use your own GSS data set will result in a zero for the question. As above, you will need to read and interpret the question to determine which statistical test is appropriate, as well as whether it is a one-tailed or two-tailed test. Similar to the questions above, you must: 1. State the null and research hypotheses 2....
A random sample of 20 binomial trials resulted in 8 successes. Test the claim that the...
A random sample of 20 binomial trials resulted in 8 successes. Test the claim that the population proportion of successes does not equal 0.50. Use a level of significance of 0.05. (1) Compute p̂. (2) Compute the corresponding standardized sample test statistic. (Round your answer to two decimal places.) (3) Find the P-value of the test statistic. (Round your answer to four decimal places.) Recall that Benford's Law claims that numbers chosen from very large data files tend to have...