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kakasveta [241]
2 years ago
15

Two groups of students were asked how far they lived from their school. The table shows the distances in miles: Group A (distanc

e in miles) 1 1. 5 3. 03 03. 2 2. 8 1. 5 1. 8 2. 5 2. 2 Group B (distance in miles) 2 2. 5 3. 23 1. 3 1. 8 2. 4 3 2001. 5 1. 8 Which statement best compares the mean distances for the two groups? It is equal for Group A and Group B. It is greater for Group B than Group A. Its value for Group A is double the value for Group B. Its value for Group B is double the value for Group A.
Mathematics
1 answer:
iogann1982 [59]2 years ago
7 0

The mean is equal for Group A and Group B.

<h2>Given </h2>

Two groups of students were asked how far they lived from their school.

The table shows the distances in miles:

Group A (distance in miles) 1 1.5 3.03 3.2 2.8 1.5 1.8 2.5 2.2

Group B (distance in miles) 2 2.5 3.23 1.3 1.8 2.4 3 1.5 1.8

<h3>What is mean?</h3>

The mean of any data set or observation is equal to the sum of all the observations and divided by the number of observations.

The formula used to calculate the mean is;

\rm Mean  = \dfrac{Sum \ of \ all \ observation}{Number \ of \ obrservation}

The mean of group A is;

\rm Mean  = \dfrac{Sum \ of \ all \ observation}{Number \ of \ obrservation}\\\\\rm GroupA \ mean = \dfrac{1 + 1.5 + 3.03 + 3.2 + 2.8 + 1.5 + 1.8 + 2.5 + 2.2}{9 }\\\\\rm Group A \ mean=\dfrac{ 19.53}{9}\\\\ Group A \ mean = 2.17

The mean of group B is;

\rm Mean  = \dfrac{Sum \ of \ all \ observation}{Number \ of \ obrservation}\\\\\rm Group B \ mean = \dfrac{2 + 2.5 + 3.23 + 1.3 + 1.8 + 2.4 + 3 + 1.5 + 1.8}{9} \\\\Group B \ mean = \dfrac{19.53}{9}\\\\ Group B \ mean = 2.17

Hence, the mean is equal for Group A and Group B.

To know more about Mean click the link given below.

brainly.com/question/12513463

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Answer:

Step-by-step explanation:

Since the number of samples is given as n = 30, we would determine the degree of freedom, df

df = n - 1 = 30 - 1

df = 29

Since the test statistic is given as 2.35 and the df = 29, we would determine the p value from the t distribution table. We will look for the row containing df = 29 and trace the two columns between which 2.35 falls. The result would also be in the row containing one tailed test. Therefore, the p-value falls between 0.025 and 0.01.

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Answer:

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3 years ago
J.D. Power and Associates conducts vehicle quality surveys to provide automobile manufacturers with consumer satisfaction inform
mihalych1998 [28]

Answer:

Categorical data includes

b. How did you pay for the vehicle? (Cash, Lease, or Finance)

c. How likely would you be to recommend this vehicle to a friend? (Definitely Not, Probably Not, Probably Will, and Definitely Will)

e. What is your overall rating of your new vehicle? A 1 to 10 point scale, ranging from I for unacceptable to 10 for truly exceptional, was used.

Quantitative data includes

a. What price did you pay for the vehicle?

d. What is the current mileage?

Step-by-step explanation:

Categorical data refers to the kind of data in which the variables are grouped based on a particular quality, ticking a particular box or satisfying some specific requirements.

It uses one or more qualitative property/properties to assign variables into a limited, usually fixed groups or categories. Note that the qualitative property might be a grouped data of numerical values. As long as there are easily separable and recognizable groups, it is categorical data.

This is also called qualitative data.

Quantitative data is a data that is strictly about numerical values. A dataset that consists of numerical values of the members of the dataset. Deals almost exclusively with numbers, usually ungrouped.

So, examining the given datasets one at a time

a. What price did you pay for the vehicle?

The answer to this question is a numerical value and for various customers, it builds up a dataset of strictly numerical values. Hence, this resulting data is a quantitative data.

b. How did you pay for the vehicle? (Cash, Lease, or Finance)

The answers to this question can only take 3 forms; Cash, Lease or Finance, indicating that all the variables in the dataset can only take on limited, fixed number of groups/categories. Hence, this dataset is a categorical data.

c. How likely would you be to recommend this vehicle to a friend? (Definitely Not, Probably Not, Probably Will, and Definitely Will)

The answers to this question too can take on 4 limited, fixed categories or groups, Hence, it's easy to see that this dataset is also categorical data.

d. What is the current mileage?

The answer to this question is a numerical value. Various answers from numerous persons would lead to a data of numbers. Hence, this is a quantitative data.

e. What is your overall rating of your new vehicle? A 1 to 10 point scale, ranging from I for unacceptable to 10 for truly exceptional, was used.

Limited, fixed categories or groups (10 groups) are also available for this data, hence, it is easily a categorical data.

Hope this Helps!!!

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babymother [125]

Answer:

$48.76

Step-by-step explanation:

So, Sara bought the pair of shoes for $46 due to a discount.

Sales tax was 6% or 0.06. In other words, she had to pay 0.06(46)=2.76 for tax.

Thus, the total amount Sara paid for the shoes is $46+$2.76=$48.76

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Put these numbers in order from least to greatest <br><br> 1.82, 1.6, 1 4/5
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Answer:

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Step-by-step explanation:

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