Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Price Differentiating E-commerce websites "alter results depending on whether consumers use smartphones or particular web browsers," 34 reports a new study. The researchers created clean accounts without cookies or browser history and then searched for specific items at different websites using different devices and browsers. On one travel site, for example, prices given for hotels were cheaper when using Safari on an iPhone than when using Chrome on an Android. At Home Depot, the average price of 20 items when searching from a smartphone was \(\$ 230,\) while the average price when searching from a desktop was \(\$ 120 .\) For the Home Depot data: (a) Give notation for the two mean prices given, using subscripts to distinguish them. (b) Find the difference in means, and give notation for the result.

Short Answer

Expert verified
The notation for the mean prices for searching from a smartphone and desktop are \( M_1 \) and \( M_2 \) respectively. The difference in means, denoted by \( D \), is $110.

Step by step solution

01

Define the notation for the mean prices

Given two mean prices, these can be distinguished using subscripts. Let \( M_1 \) denote the mean price when searching from a smartphone which is $230, and let \( M_2 \) denote the mean price when searching from a desktop which is $120.
02

Compute the difference in means

To find the difference in means, subtract the mean price when searching from a desktop (\( M_2 \)) from the mean price when searching from a smartphone (\( M_1 \)). This is executed by the following computation: \( M_1 - M_2 = 230 - 120 = 110 \). So, the difference in means is $110.
03

Define the notation for the difference in means

The difference in means can be represented using notation too. Let's denote the difference as \( D \), so \( D = M_1 - M_2 \). Hence, the notation for the difference is \( D \).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Social jetlag refers to the difference between circadian and social clocks, and is measured as the difference in sleep and wake times between work days and free days. For example, if you sleep between \(11 \mathrm{pm}\) and 7 am on weekdays but from 2 am to 10 am on weekends, then your social jetlag is three hours, or equivalent to flying from the West Coast of the US to the East every Friday and back every Sunday. Numerous studies have shown that social jetlag is detrimental to health. One recent study \(^{64}\) measured the self-reported social jetlag of 145 healthy participants, and found that increased social jetlag was associated with a higher BMI (body mass index), higher cortisol (stress hormone) levels, higher scores on a depression scale, fewer hours of sleep during the week, less physical activity, and a higher resting heart rate. (a) Indicate whether social jetlag has a positive or negative correlation with each variable listed: BMI, cortisol level, depression score, weekday hours of sleep, physical activity, heart rate. (b) Can we conclude that social jetlag causes the adverse effects described in the study?

Two variables are defined, a regression equation is given, and one data point is given. (a) Find the predicted value for the data point and compute the residual. (b) Interpret the slope in context. (c) Interpret the intercept in context, and if the intercept makes no sense in this context, explain why. \(\mathrm{Hgt}=\) height in inches, Age \(=\) age in years of a child. \(\widehat{H g t}=24.3+2.74(\) Age \() ;\) data point is a child 12 years old who is 60 inches tall.

Multiple studies \(^{61}\) in both animals and humans show the importance of a mother's love (or the unconditional love of any close person to a child) in a child's brain development. A recent study shows that children with nurturing mothers had a substantially larger area of the brain called the hippocampus than children with less nurturing mothers. This is important because other studies have shown that the size of the hippocampus matters: People with large hippocampus area are more resilient and are more likely to be able to weather the stresses and strains of daily life. These observations come from experiments in animals and observational studies in humans. (a) Is the amount of maternal nurturing one receives as a child positively or negatively associated with hippocampus size? (b) Is hippocampus size positively or negatively associated with resiliency and the ability to weather the stresses of life? (c) How might a randomized experiment be designed to test the effect described in part (a) in humans? Would such an experiment be ethical? (d) Can we conclude that maternal nurturing in humans causes the hippocampus to grow larger? Can we conclude that maternal nurturing in animals (such as mice, who were used in many of the experiments) causes the hippocampus to grow larger? Explain.

We use data from HollywoodMovies introduced in Data 2.7 on page \(95 .\) The dataset includes information on all movies to come out of Hollywood between 2007 and 2013 . The variable AudienceScore in the dataset HollywoodMovies gives audience scores (on a scale from 1 to 100 ) from the Rotten Tomatoes website. The five number summary of these scores is (19,49,61,74,96) . Are there any outliers in these scores, according to the \(I Q R\) method? How bad would an average audience score rating have to be on Rotten Tomatoes to qualify as a low outlier?

Give the correct notation for the mean. The average number of yards per punt for all punts in the National Football League is 41.5 yards.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free