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lianna [129]
4 years ago
9

What is the mode for the set of data shown below?

Mathematics
2 answers:
IrinaK [193]4 years ago
7 0

Answer:

75

Step-by-step explanation:

Mode means the number that occurs the most. There can be more than 1 mode also no mode at all.

<em>Looking at the number set closely, we see that "75" occurs twice and every number occurs once. Hence </em><em>75 is the mode.</em>

cestrela7 [59]4 years ago
7 0

Hello There!

The "MODE" is the numbers that occur most often in a set of numbers.

In this scenario, 75 would be the mode because it occurs twice, No other numbers in this data set repeat except 75.

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A board that measures 34 3 4 feet long is cut into 6 equal pieces. What is the length of each piece?
kifflom [539]

Answer 1.5

Divide 9/6= "Answer"

Where did the 9 come from?

There are 12in in a foot so 3/4 = 9in

8 0
3 years ago
Read 3 more answers
What are 2 ways of solving this proportion? 4/5 = 28/x
max2010maxim [7]

The first way is to cross multiply

4/5 = 28/x

4x = 5*28

4x = 140

4x/4 = 140/4

x = 35 which is the answer

=============================================

The second method is to note the denominators 4 and 28, and to ask yourself "what times 4 gets me 28?". The answer being 7, so 7*4 = 28. If you multiply top and bottom of the fraction 4/5 by 7, then you end up with 7*4 = 28 up top and 7*5 = 35 down below. This is another way of seeing how 4/5 = 28/35

Either way, the answer is x = 35

6 0
4 years ago
Public health officials claim that people living in low income neighborhoods have different Physical Activity Levels (PAL) than
Naddika [18.5K]

Answer:

The z-score for this data is Z = -0.26.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

This is based on knowledge that in the U.S., the mean PAL is 1.65 and the standard deviation is 0.55.

This means that \mu = 1.65, \sigma = 0.55

A study took a random sample of 51 people who lived in low income neighborhoods and found their mean PAL to be 1.63.

This means that n = 51, X = 1.63

Using a one-sample z test, what is the z-score for this data

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{1.63 - 1.65}{\frac{0.55}{\sqrt{51}}}

Z = -0.26

The z-score for this data is Z = -0.26.

4 0
3 years ago
Jo cut a key lime pie into 8 equal size slices the next day 7/8 of the pie is left jo puts each slice on its own plate how many
Lostsunrise [7]
7 plates cause there are 7/8 pieces left so 7/8 means 7 pieces so 7 pieces ,7 plates.  
5 0
3 years ago
Jack bought a stereo on sale for $231 . The original price was $385 . What was the percent of decrease in a price
Alenkinab [10]
231 / 385 = 0.6        diving the price it is by the price is was gives the answer
= 60%
8 0
3 years ago
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