All categories

3 years ago

HOW TO CHANGE THE PERCENT INTO DECIMAL? 98%= ?

Mathematics

2 answers:

KATRIN_1 [288]3 years ago

6 0

Answer:

0.98

Step-by-step explanation:

98% = 0.98 in decimal form. Percent means 'per 100'. So, 98% means 98 per 100 or simply 98/100. If you divide 98 by 100, you'll get 0.98 (a decimal number).

maria [59]3 years ago

4 0

Answer:

0.98

Step-by-step explanation:

Percent means per 100 so 98% means 98 per 100. If you divide 98 by 100, you'll get 0.98 (a decimal number)

You might be interested in

Please help I'll give you brainliest

PSYCHO15rus [73]

Answer:

Equation 1: No solution

Equation 2: Infinity

Equation 3: One solution

Equation 4: Infinity

Equation 5: No solution

Hope this helps you. Do mark my answer as brainly. Thanks

7 0

3 years ago

What are the domains and ranges of the graphs

Maslowich

Answer:

The domain for graph 1 is all real numbers, the range is y >= 0.

The domain for graph 2 is x >= 0, the range is y >= 0

Step-by-step explanation:

Graph 1: The x values are infinite for the graph, the y values will always be above zero and continue to be infinite.

Graph 2: The x values start at 0 and go to the right for infinity, the y values start at 0 and continue to infinity.

7 0

3 years ago

Ten cars were recently assembled at a factory. Of these

bogdanovich [222]

Answer:

1/12

Step-by-step explanation:

5 0

1 year ago

In a survey, the planning value for the population proportion is . How large a sample should be taken to provide a confidence in

tatuchka [14]

Answer:

n=350

Step-by-step explanation:

Notation and definitions

$n$ random sample taken (variable of interest)

$\hat p=0.35$ estimated proportion (value assumed)

$p$ true population proportion

Confidence =0.95 or 95% (value assumed)

Me=0.05 (value assumed)

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})$

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by: