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crimeas [40]
4 years ago
5

Find percentage of each quantity. 40% of an hour In hours and minutes

Mathematics
1 answer:
matrenka [14]4 years ago
8 0

Answer:

Step-by-step explanation:

40% of an hr.....an hr is 60 minutes...so 40% of 60 minutes =

0.4(60) = 24 minutes

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Someone please help me ​please
andre [41]

Answer:

<em>D</em>

Step-by-step explanation:

I tried all the other equations by plugging in numbers and disproving their accuracy. <u>D was the only one that worked.</u>

4 0
3 years ago
A can of drink is in the shape of a cylinder. The can has a radius of 4cm and a height of 15cm. Calculate the volume of the cyli
yan [13]
The volume of a cylinder is

Volume = π (radius)² (length or height)

Volume = π (4 cm)² (15 cm) = 240 π cm³ = 753.98 cm³
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3 years ago
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I need help with this question
kaheart [24]

Answer:

your answer is 7x square root ÷ 3/90

3 0
4 years ago
Psychology students at Wittenberg University completed the Dental Anxiety Scale questionnaire (Psychological Reports, August 199
fredd [130]

Answer:

a) Z = 1.43

b) There is a 48.696% probability that someone scores between a 10 and a 15 on the Dental Anxiety Scale is

Step-by-step explanation:

Normal model problems can be solved by the zscore formula.

On a normaly distributed set with mean \mu and standard deviation \sigma, the z-score of a value X is given by:

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

Each z-score value has an equivalent p-value, that represents the percentile that the value X is.

In our problem, the mean score was 11 and the standard deviation was 3.5.

So, \mu = 11, \sigma = 3.5.

(a) Suppose you score a 16 on the Dental Anxiety Scale. Find the z-value for this score.

What is the value of Z when X = 16?

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

Z = \frac{16 - 11}{3.5} = 1.43

(b) Find the probability that someone scores between a 10 and a 15 on the Dental Anxiety Scale.

We have to find the percentiles of both of these scores. This means that we have to find Z when X = 10 and X = 15. The probability that someone scores between a 10 and a 15 is the difference between the pvalues of the z-value of X = 10 and X = 15.

When X = 10

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

Z = \frac{10 - 11}{3.5} = -0.29

Looking at the z score table, we find that the pvlaue of Z = -0.29 is 0.3859.

When X = 15

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

Z = \frac{15 - 11}{3.5} = 1.14

Looking at the z score table, we find that the pvlaue of Z = 1.14 is 0.87286.

So, the probability that someone scores between a 10 and a 15 on the Dental Anxiety Scale is

0.87286 - 0.3859 = 0.48696 = 48.696%

(c) Find the probability that someone scores above a 17 on the Dental Anxiety Scale

This probability is 100% minus the pvalue of the zvalue when X = 17

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

Z = \frac{17 - 11}{3.5} = 1.71

When Z = 1.71, the pvalue is 0.95637. This means that there is a 95.637% probability that someone scores BELOW 17 on the dental anxiente scale.

100 - 95.637 = 4.363%

There is 4.363% probability that someone scores above a 17 on the Dental Anxiety Scale

4 0
3 years ago
What is opportunity sampling
Yakvenalex [24]

Answer:

Opportunity sampling is also known as convenience and it can be defined as a sampling technique which typically involves the process of selecting participants from a population of interest (target group) to take part in a research study.

Step-by-step explanation:

In Statistics, sampling can be defined as a process used to collect or select data (objects, observations, or individuals) from a larger statistical population using specific procedures.

There are various types of sampling used by researchers and these are;

1. Random sampling.

2. Systematic sampling.

3. Stratified sampling.

4. Cluster sampling.

5. Opportunity or convenience sampling.

Opportunity sampling is also known as convenience and it can be defined as a sampling technique which typically involves the process of selecting participants from a population of interest (target group) to take part in a research study.

This ultimately implies that, an opportunity sampling is a non-probability sampling in which a researcher select participants based on their availability for the study.

For example, John a psychologist standing on the street requesting that passersby join in his research study.

6 0
3 years ago
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