A marketing research assistant for a veterinary hospital surveyed a random sample of 457 pet owners. Respondents were asked to indicate the number of times that they visit their veterinarian each year. e sample mean response was 3.59 and the sample standard deviation was 1.045. Based on these results, a condence interval from 3.49 to 3.69 was calculated for the population mean. Find the probability content for this interval

The probability content for the confidence interval (3.49, 3.69) is 96%.

Step-by-step explanation:

The sample selected to determine the mean number of times the pet owners visited their veterinarian each year is of size, n = 475.

The sample selected is quite large, i.e. n > 30.

According to the Central Limit Theorem if we have a population with mean μ and standard deviation σ and we take appropriately huge random samples (n ≥ 30) from the population with replacement, then the distribution of the sample mean will be approximately normally distributed.

Then, the mean of the distribution of sample mean is given by,

; for n → ∞.

And the standard deviation of the distribution of sample means is given by,

; for n → ∞.

So, the random variable X, defined as the number of visits to the veterinarian each year, follows a Normal distribution.

The (1 - α)% confidence interval for the population mean (μ) is:

The information provided is:

The confidence interval is (3.49, 3.69).

The margin of error of the confidence interval for the population mean is:

Compute the MOE as follows:

Compute the critical value of z as follows:

Compute the value of as follows:

Thus, the probability content for the confidence interval (3.49, 3.69) is 96%.

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step-by-step explanation:

the original amount doesn't ''re just looking for the time it takes for 1/2 of the substance to we have

(1/2) =)     take the ln   of both sides

ln (1/2)   = )   and we can write

ln(1/2) = ) lne     and lne   = 1     so we have

ln(1/2) = -.1092t     divide both sides by -.1092

t = ln(1/2)/-.1092 = about 6.347 days = about 6.3 days (rounded)