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evablogger [386]
3 years ago
11

Elena and Jada are 12 miles apart on a path when they start moving towards each other. Elena answered a constant speed of 5 mile

s per hour, and Jada walks at a constant speed of 3 miles per hour how long does it take Jada to walk 12 miles
Mathematics
1 answer:
djverab [1.8K]3 years ago
3 0

Answer:

i think it is 234 i am not sure

Step-by-step explanation:

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Which of the statements about one-way ANOVA is FALSE? ANOVA deals only with one factor, such as treatment or group. There can be
jekas [21]

Answer:

It is used when there are two independent variables in the experiment.

Step-by-step explanation:

The one way analysis of Variance statistical test is employed when we intend to analyze the variation in the mean of levels or groups of an independent variable. It allows us check for convergence of data. The variable here is usually categorical and must have 3 or more levels, hence, the groups could be infinite in count. A one way ANOVA will have only ONE independent variable, For data with two independent variables, the TWO way ANOVA statistical test is employed.

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3 years ago
WILL MARK BRAINLIEST + 10 POINTS!
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using the difference quotient method f(x+h) - f(x)/h

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7 0
4 years ago
The slope of a roof is called the pitch and is defined as follows:
Sholpan [36]

Answer:

a) 4/5

b) 1/3

Step-by-step explanation:

Put the numbers in the formula and evaluate.

a) pitch = (rise)/(1/2·span)

= (12 ft)/(1/2·30 ft) = 12/15 = 4/5

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b) pitch = (4 ft)/(1/2·24 ft) = 4/12 = 1/3

5 0
4 years ago
Which expression is equivalent to 5x + 5x for all values of x?
andrezito [222]
Answer :

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Explanation:

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8 0
3 years ago
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HELP ME PLS ASAP!!!!!!!!!!!
mina [271]

Answer:

\sigma^2=73.96 \ kg^2

Step-by-step explanation:

<u>Standard Deviation and Variance</u>

If we have a data set of measured values the variance is defined as the average of the squared differences that each value has from the mean. The formula to calculate the variance is:

\displaystyle \sigma^2=\frac{\sum(x_i-\mu)^2}{n}

Where \mu is the mean of the measured values xi (i running from 1 to n), and n is the total number of values.

\displaystyle \mu=\frac{\sum x_i}{n}

The standard deviation is known by the symbol \sigma and is the square root of the variance. We know the standar deviation of the weight in kg of a group of teenagers to be 8.6 kg. Thus, the variance is

\sigma^2=8.6^2=73.96 \ kg^2

\boxed{\sigma^2=73.96 \ kg^2}

7 0
3 years ago
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