Create a line plot that showe the frequeney of the July high temperatur

The reading speed of second grade students in a large city is approximately normal, with a mean of 88 words per minute (wpm) and a standard deviation of 10 wpint (a) What is the probability a randomly selected student in the city will read more than 94 words per minute? The probability is 0.2743 . (Round to four decimal places as needed.) Interpret this probability. Select the correct choice and fill in the answer box within your choice. (Round to the nearest whole number as needed.) A. If 100 different students were chosen from this population, we would expect 10 to read less than 94 words per minute. B. If 100 different students were chosen from this population, we would expect 10 to read exactly 94 words per minute. C. If 100 different students were chosen from this population, we would expect 27 to read more than 94 words per minute. (b) What is the probability that a random sample of 10 second grade students from the city results in a mean reading rate of more than 94 words per minute? The probability is 0.0294 .

2. Find the following confidence intervals for the variance and the standard deviation for the Price in dollars of an adult single - day skitift ticket. The data represents a selected sample of nationwide ski reports. Assume the variable is normally distributed.

he acceptable level for insect filth in a certain food item is 4 insect fragments (larvae, eggs, body parts, and so on) per 10 grams. A simple random sample of 40 ten-gram portions of the food ite 4.4 insect fragments per ten-gram portion. Complete parts (a) through (c). A. The sampling distribution is approximately normal because the population is normally distributed and the sample size is large enough. B. The sampling distribution is assumed to be approximately normal. C. The sampling distribution is approximately normal because the sample size is large enough. D. The sampling distribution is approximately normal because the population is normally distributed. (b) What is the mean and standard deviation of the sampling distribution of \( \bar{x} \) assuming \( \mu=4 \) and \( \sigma=\sqrt{4} \) ? H- \( =\square \) (Type an integer or a decimal rounded to three decimal places as needed.)

The length of human pregnancies is approximately normal with mean \( \mu=266 \) days and standard deviation o = 16 days Complete parts (a) throug (a) What is the probability that a randomly selected pregnancy lasts less than 262 days? The probability that a randornly selected pregnancy lasts less than 262 days is approximately 0.4013 . (Round to four decimal places as needed.) Interpret this probability. Select the correct choice and fill in the answer box within your choice. (Round to the nearest integer as needed.) A. If 100 pregnant individuals were selected independently from this population, we would expect \( \square \) pregnancies to last less than 262 days B. If 100 pregnant individuals were selected independently from this population, we would expect 0 pregnancies to last exactly 262 days. C. If 100 pregnant individuals were selected independently from this population, we would expect \( \square \) pregnancies to last more than 262 days.

(b) Suppose a random sample of 51 human pregnancies is obtained. Describe the sampling distribution of the sample mean length of pregnancies. The sampling distribution of \( \overline{\mathrm{x}} \) is \( \square \) with \( \mu_{\bar{x}}=\square \) and \( \sigma_{\overline{\mathrm{x}}}=\square \). (Round to four decimal places as needed.)