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2 years ago

12

Select the options that describe numerical (quantitative) data. Check all that apply.

1 answer:

Vinvika [58]2 years ago

8 0

Answer:

Heights

Weight

Step-by-step explanation:

Answer:

Heights

Weight

Step-by-step explanation:

Quantitative data can be regarded as data that gives representation of values which can be measured and can as well be put into a logical order. It is value of data which could be inform of numbers as well as count .

Quantitative data are in most cases gathered for statistical analysis by using questionnaires, survey from some population. Example are age, height and others.

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2 years ago

What is the value of the expression (−2 4/5)÷(−1.4)

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2 years ago

3. Which expression is equivalent to the expression shown below?

chubhunter [2.5K]

Answer:

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Step-by-step explanation:

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2 years ago

A simple random sample of size nequals40 is drawn from a population. The sample mean is found to be 103.9, and the sample stand

yan [13]

Answer:

There is enough evidence to support the claim that the population mean is greater than 100

Step-by-step explanation:

<u>Step 1</u>: We state the hypothesis and identify the claim

$H_0:\mu=100$ and $H_1:\mu \:>\:100$ (claim)

<u>Step 2</u>: Calculate the test value.

$t=\frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }$

$\implies t=\frac{103.9-100}{\frac{21.9}{\sqrt{40} } }=1.1263$

<u>Step 3</u>: Find the P-value. The p-value obtained from a calculator is using d.f=39 and test-value 1.126 is 0.134

<u>Step 4</u>: We fail to reject the null hypothesis since P-value is greater that the alpha level. (0.134>0.05).

<u>Step 5</u>: There is enough evidence to support the claim that the population mean is greater than 100.

<u>Alternatively</u>: We could also calculate the critical value to obtain +1.685 for $\alpha=0.05$ and d.f=39 and compare to the test-value:

The critical value (1.685>1.126) falls in the non-rejection region. See attachment.

NB: The t- distribution must be used because the population standard deviation is not known.

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3 years ago