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Solid fats are more likely to raise blood cholesterol levels than liquid fats. Suppose a nutritionist analyzed the percentage of saturated fat for a sample of 6 brands of stick margarine (solid fat) and for a sample of 6 brands of liquid margarine and obtained the following results:.

Sagot :

Answer: The most favorable figures are 24.7%.

Explanation:

compute the stick and liquid data's mean and standard deviation. The element's sigma is represented by the bar. The time now is 26.30. If you enter the value of X as 1, then every number between 1 and 1 will equal 6, and the standard deviation is equal to N-1. sigma of x1 - x1 bar old square If I put the data here, I would call this the under root of 10 0.108. What we can see, we can. We may estimate that this was for the stick at 101.70. Here, I combined all the X values and divided them by six. Therefore, this is roughly 16. Even though the formula is the same, the standard deviation is lower than seven. The old one is equal to the new one, which is the null hypothesis, and the new one is not equal to the old one, which is the conventional hypothesis. To determine whether the null hypothesis is separate or not, we will apply the T. Test component 26 tests in this section and the following one. On the electric slide, one square on N plus equals two squares. The values are divided first into six equal parts by the square's under-root, and then into six equal parts by the entire square. This comes to about 34.75

Solid fats are more likely to raise blood cholesterol levels than liquid fats. When a nutritionist analyzed the percentage of saturated fat for a sample of 6 brands of stick margarine  (the solid fat) and for a sample of 6 brands of liquid margarine and obtained the following results:

Stick= [26.1, 26.5, 26.5, 25.8, 26.7, 26.2]

Liquid= [16.6, 16.5, 17.1, 17.5, 17.7, 16.3]

Calculate the mean and standard deviation for the stick and liquid values. The bar displays the element's sigma. It is currently 26:30. Every integer between 1 and 1 will equal 6, and the standard deviation is equal to N-1, if you enter 1 as the value of X. sigma of x1 - x1 bar old square I would refer to this as the under root of 10 0.108 if I were to enter the data. We can see what we can see. This was, roughly speaking, for the stick at 101.70.

Here, I divided the total number of X values by six in this case. Thus, this is approximately 16. The standard deviation is less than seven despite the fact that the formula is the same. The null hypothesis is that the new and old are equal, while the conventional hypothesis is that the new and old are not equal.We will use the T. Test component 26 tests in this section and the one that follows to assess whether or not the null hypothesis is distinct. One square on N plus equals two squares on the electric slide. The under-root of the square divides the values first into six equal parts, and then the full square divides the values into six equal parts. This equals around 34.75.

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