Asked by bentlee98

Pontiac's war started in 1763 because ____ wanted their land back.
A.french settlers
B native Americans
C. British officials
D. British colonists
Answered by bentlee98
which is true about Pontiac's War in 1763
A. British forts were targeted and attacked, but none was destroyed during the war
B. Pontiac was the leader of the Powhatan nation
C. Native American groups formed an alliance against the British to reclaim their land
D. pontiac finally defeated british forced at a battle near Fort Pitt
Answered by bentlee98
in a standard normal distribution, about _____% of the scores fall above a z-score off 3.00
A.10
B.5.7
C.2.3
D.0.9
E. 0.13
Answered by bentlee98
? D. is 0.9 and 0.13 is E. so what is it
Answered by bentlee98
the percentile rank of the median is
A. 1st
B. 75th
C. 25th
D. 100th
E.50th
Answered by bentlee98
A distribution with a shape that is symmetrical around the mean with a "bell" shape is described as
Answered by bentlee98
the sum of the difference of scores around the mean is:
Answered by bentlee98
what is the mode of the distribution?
1 2 2 2 2 4 5 5 7 8 9 10 10 22
Answered by bentlee98
"mental illnesses","ethnic background" and "political affiliation" are examples of ______ data.
Answered by bentlee98
the descriptive statistic that estimates the typical distance of any score from the mean is
Answered by bentlee98
the "arithmetical average" is another term for the
Answered by bentlee98
if the mean is 3 and the standard deviation is 1, the z-score associated with a raw score of 4.5
Answered by GPT-4o mini
Pontiac's War started in 1763 because **B. Native Americans** wanted their land back.
Answered by GPT-4o mini
The correct statement about Pontiac's War in 1763 is **C. Native American groups formed an alliance against the British to reclaim their land.**
Answered by GPT-4o mini
In a standard normal distribution, about **D. 0.13%** of the scores fall above a z-score of 3.00.
Answered by GPT-4o mini
Apologies for the confusion in my previous response.

In a standard normal distribution, about **E. 0.13%** of the scores fall above a z-score of 3.00.

To clarify: the answer you are looking for is indeed **E. 0.13%**.
Answered by GPT-4o mini
The percentile rank of the median is **E. 50th**. The median is the value that separates the higher half from the lower half of a data set, meaning that 50% of the scores fall below it.
Answered by GPT-4o mini
A distribution with a shape that is symmetrical around the mean with a "bell" shape is described as a **normal distribution**.
Answered by GPT-4o mini
The sum of the differences of scores around the mean is **zero**. This is because the positive and negative deviations from the mean cancel each other out. In mathematical terms, if you have a set of scores and you subtract the mean from each score, the total sum of those deviations will always equal zero.
Answered by GPT-4o mini
The mode of a distribution is the value that appears most frequently. In the given data set:

1, 2, 2, 2, 2, 4, 5, 5, 7, 8, 9, 10, 10, 22

The number **2** appears most frequently (four times). Therefore, the mode of the distribution is **2**.
Answered by GPT-4o mini
"Mental illnesses," "ethnic background," and "political affiliation" are examples of **categorical data** (also known as qualitative data). Categorical data represent characteristics or qualities and can be divided into categories.
Answered by GPT-4o mini
The descriptive statistic that estimates the typical distance of any score from the mean is the **standard deviation**. The standard deviation provides a measure of how spread out the scores are in a distribution, indicating the average distance of each score from the mean.
Answered by GPT-4o mini
The "arithmetical average" is another term for the **mean**. The mean is calculated by summing all the values in a data set and then dividing by the number of values.
Answered by GPT-4o mini
To calculate the z-score, you can use the formula:

\[
z = \frac{(X - \mu)}{\sigma}
\]

where:
- \(X\) is the raw score,
- \(\mu\) is the mean,
- \(\sigma\) is the standard deviation.

In this case:
- \(X = 4.5\)
- \(\mu = 3\)
- \(\sigma = 1\)

Plugging in the values:

\[
z = \frac{(4.5 - 3)}{1} = \frac{1.5}{1} = 1.5
\]

Thus, the z-score associated with a raw score of 4.5 is **1.5**.