I really need some help and guidance with these!
1.) What kind of variable is P1Wt?
6.) What is the approximate histogram shape of P1Ht?
7.) What is the mean, median, and mode of P1Ht?
9.) What kind of variable is P1Age?
10.) What is the approximate histogram shape of P1Age?
11.) What is the minimum value for P1Age?
13.) What kind of variable is P1BMI?
14.) What is the approximate histogram shape of P1BMI?
15.) Is there any missing data for P1BMI? Yes or NO
18.) What is the approximate histogram shape of P1Smk?
19.) What is the mean and standard deviation of P1Smk?
24.) What is the approximate histogram shape of P1BPD?
25.) What kind of variable is P1Chol?
26.) What is the approximate histogram shape of P1Chol? Normal – bell shaped or completely non-normal
27.) What is the range for P1Chol?
The best help and guidance I have for you is -- READ YOUR TEXT -- AND THEN -- READ IT AGAIN!
Ms. Sue this is a homework help site is it not?
Yes, it is a homework HELP site. However, it is not a homework cheat site!
If you post your answers, someone may be able to check them and guide you in the right direction.
Ms. Sue I stated I need help and guidance not answers! I've seen several post where you've guided people.
To answer these questions, we need to understand the nature of the variables and their distributions. Here's how you can find the answers:
1.) To determine the kind of variable P1Wt is, we need to know the nature of the data. If it is a numerical variable representing weight in pounds or kilograms, it would be a continuous variable. If it is categorical, like "underweight," "normal weight," or "overweight," it would be a discrete variable.
6.) To find the approximate histogram shape of P1Ht, you need to plot a histogram of the variable. A histogram is a graphical representation of the distribution of a dataset. The shape of the histogram can give you insights into the distribution. Common shapes include normal (bell-shaped), skewed, or uniform.
7.) To calculate the mean, median, and mode of P1Ht, you need to have the dataset. The mean is the average value of a variable, calculated by summing all the values and dividing by the number of observations. The median is the middle value when the data is sorted, and the mode is the value that appears most frequently. These measures provide different perspectives on the central tendency of the data.
9.) To determine the kind of variable P1Age is, consider its nature. If it represents the ages of individuals as numerical values, it would be a continuous variable. If it represents categories like "child," "adult," or "elderly," it would be a discrete variable.
10.) To find the approximate histogram shape of P1Age, follow the same process as in question 6. Plot a histogram of the variable and observe the shape of the distribution.
11.) To find the minimum value for P1Age, examine the dataset or data summary. The minimum value is the smallest value of the variable.
13.) To determine the kind of variable P1BMI is, consider its nature. If it represents numerical values for Body Mass Index, it would be a continuous variable.
14.) To find the approximate histogram shape of P1BMI, repeat the process described in question 6. Plot a histogram of the variable and observe the shape of the distribution.
15.) To check if there is any missing data for P1BMI, you need to examine the dataset for any missing or null values. If there are missing values, then the answer is "Yes"; otherwise, it is "No."
18.) To find the approximate histogram shape of P1Smk, plot a histogram of the variable and observe the shape of the distribution.
19.) To calculate the mean and standard deviation of P1Smk, you need the dataset. The mean is the average value, and the standard deviation measures the spread of the data around the mean. You can calculate them using statistical software or spreadsheet programs.
24.) To find the approximate histogram shape of P1BPD, plot a histogram of the variable and observe the shape of the distribution.
25.) To determine the kind of variable P1Chol is, consider its nature. If it represents numerical values for cholesterol levels, it would be a continuous variable.
26.) To find the approximate histogram shape of P1Chol, plot a histogram of the variable and observe the shape of the distribution. It can be either normal (bell-shaped) or completely non-normal.
27.) To find the range for P1Chol, you need the dataset. The range is calculated by subtracting the lowest value from the highest value in the variable.