Maria surveyed girls on the amount (in $) they spent on a dress for the middle school spring fling:
79, 79, 79, 82, 84, 85, 89, 90, 99, 100, 100, 100, 129, 139, 155, 174, 189, 200, 209, 250
Which measure of variability- IQ or MAD - besI describes the spread of the dataset?
(1 point)
MAD; the data distribution is symmetrical
O MAD; the data distribution has outliers
• IQ; the data distribution is skewed
• IQ; the data distribution is symmetrical
MAD; the data distribution has outliers.
Fix the following sentence to ensure it is clear and not vague.
In the magazine, they say it is not healthy to eat a lot of fast food and fried foods.
The magazine states that consuming excessive amounts of fast food and fried foods is unhealthy.
say itin a more humen mannar
According to the magazine, eating too much fast food and fried foods is not good for your health.
Which description explains the cause of vague pronoun references?
A. The pronouns do not agree in number.
B. The pronoun is repeated in the sentence
C. the antecedent of a pronoun is not clear
C. The antecedent of a pronoun is not clear.
Define the following vocabulary terms.
Dialect
Double negative
Informal language
Intensive pronoun
Jargon
Nonstandard English
Slang
Standard English
Dialect: A dialect refers to a particular form of a language that is specific to a certain region, social group, or cultural community. It often involves variations in pronunciation, vocabulary, grammar, and usage.
Double negative: A double negative occurs when two negative words or constructions are used within a single sentence, creating a positive meaning. For example, "I don't have none" (which means "I have some").
Informal language: Informal language refers to speech or writing that is casual, relaxed, and conversational. It is less formal than standard or academic language and often includes colloquial expressions, slang, and contractions.
Intensive pronoun: An intensive pronoun is a pronoun that emphasizes or intensifies a noun or pronoun in the same sentence. It is typically formed by adding "-self" or "-selves" to a reflexive pronoun. For example, "I made the cake myself."
Jargon: Jargon refers to specialized vocabulary or terminology that is used within a particular profession, field, or hobby. It often includes technical or industry-specific terms that may not be easily understood by people outside of that specific domain.
Nonstandard English: Nonstandard English refers to forms or variations of the English language that do not adhere to the conventions of Standard English. It may include dialectal differences, unique regional expressions, or grammatical structures that deviate from the accepted standard.
Slang: Slang refers to casual and informal language that is typically used within a specific group or community. It often involves new words, expressions, or unconventional meanings that are not commonly found in standard dictionaries.
Standard English: Standard English refers to the accepted and widely-used form of English that follows the norms of grammar, vocabulary, and pronunciation. It is the variety of English most commonly used in formal writing, education, and professional settings.
To determine which measure of variability - IQ or MAD - best describes the spread of the dataset, we need to understand the characteristics of the dataset.
1. IQ (Interquartile Range): This measure calculates the range between the first quartile (Q1) and the third quartile (Q3) of the dataset. If the dataset has a skewed distribution, then the IQ might not accurately represent the spread.
2. MAD (Mean Absolute Deviation): This measure calculates the average distance of each data point from the mean of the dataset. It is less affected by outliers compared to the IQ.
Now, let's analyze the characteristics of the given dataset: 79, 79, 79, 82, 84, 85, 89, 90, 99, 100, 100, 100, 129, 139, 155, 174, 189, 200, 209, 250
Based on the dataset, it can be observed that there are some extreme values like 129, 139, 155, 174, 189, 200, 209, and 250. These values are significantly different from the other values in the dataset. Therefore, the dataset contains outliers.
As MAD is less affected by outliers, it would be a better choice to describe the spread in this scenario. Hence, the answer is:
MAD; the data distribution has outliers